Data Migration Rules Jobs in Usa
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Translate business process designs into clear master and transactional data definitions for S/4HANA.
Support template design by ensuring consistent data models, attributes, and hierarchies across geographies.
Validate data readiness for end-to-end process execution (Plan, Source, Make, Deliver, Return).
Define data objects, attributes, and mandatory fields.
Support business rules, validations, and derivations.
Align data structures to SAP best practices and industry standards.
Support data cleansing, enrichment, and harmonization activities.
Define and validate data mapping rules from legacy systems to S/4HANA.
Participate in mock conversions, data loads, and reconciliation activities.
Ensure data quality thresholds are met prior to cutover.
Support the establishment and enforcement of global data standards and policies.
Work closely with Master Data and Data Governance teams.
Help define roles, ownership, and stewardship models for value stream data.
Contribute to data quality monitoring and remediation processes.
Support functional and integrated testing with a strong focus on data accuracy.
Validate business scenarios using migrated and created data.
Support cutover planning and execution from a data perspective.
Provide post-go-live support and stabilization.
Requirements: 5 years of SAP functional experience with a strong data focus.
Hands-on experience with SAP S/4HANA (greenfield preferred).
Proven involvement in large-scale, global ERP implementations.
Deep understanding of value stream business processes and related data objects.
Experience supporting data migration, cleansing, and validation.
Required Skills: Strong knowledge of SAP master data objects (e.g., Material, Vendor/Business Partner, BOM, Routings, Pricing, Customer, etc.).
Understanding of S/4HANA data model changes vs.
ECC.
Experience working with SAP MDG or similar governance tools preferred.
Familiarity with data migration tools (e.g., SAP Migration Cockpit, LVM, ETL tools).
Ability to read and interpret functional specs and data models.
Strong stakeholder management and communication skills.
Ability to work across global, cross-functional teams.
Detail-oriented with strong analytical and problem-solving skills.
Comfortable operating in a fast-paced transformation environment.
Preferred Skills: Experience in manufacturing, building materials, or asset-intensive industries.
Prior role as Functional Data Lead or Data Domain Lead.
Experience defining global templates and harmonized data models.
Knowledge of data quality tools and metrics.
Experience with MGD and setting up cost center and profit center groups.
Able to operate independently in low structure environments, collaborate across business and IT, and deliver high quality, AI ready data ecosystems.
Role Purpose Establish, advance, and mature data quality and governance capabilities in a green field, low maturity data environment.
Support enterprise analytics, BI, and AI/ML readiness through SQL/ETL engineering, data profiling, validation, stewardship, metadata management, and early stage data architecture.
Drive long term improvement of data standards, definitions, lineage, and quality processes.
Key Responsibilities Data Quality & Engineering Perform data audits, profiling, validation, anomaly detection, and quality gap identification.
Develop automated data quality rules and validation logic using T SQL, SQL Server, stored procedures, and indexing strategies.
Build and maintain SSIS packages for validation, cleansing, transformation, and error detection workflows.
Troubleshoot ETL/ELT pipelines, data migrations, integration failures, and data load issues.
Conduct root cause analysis and implement preventive and long term remediation solutions.
Optimize SQL queries, tune stored procedures, and improve data processing performance.
Document audit findings, validation processes, data flows, standards, and quality reports.
Build dashboards and reports for data quality KPIs using Power BI/Tableau.
Data Stewardship & Governance Define, maintain, and enforce data quality standards, business rules, data definitions, and governance policies.
Monitor datasets for completeness, accuracy, timeliness, consistency, and compliance.
Ensure proper and consistent data usage across departments and systems.
Maintain business glossaries, data dictionaries, metadata repositories, and lineage documentation.
Partner with IT, data engineering, and business teams to support governance initiatives and compliance requirements.
Provide training on data entry, data handling, stewardship practices, and data literacy.
Collaborate with cross functional teams to identify recurring data issues and recommend preventive solutions.
GreenField / LowMaturity Environment Architect initial data quality frameworks, validation layers, governance artifacts, and ingestion patterns.
Establish scalable data preparation workflows supporting analytics, BI, and AI/ML readiness.
Mature data quality and governance processes from ad hoc to standardized, automated, and measurable.
Drive adoption of data quality and governance practices across business and technical teams.
Support long term evolution of enterprise data strategy and governance maturity.
Required Technical Skills Advanced T SQL, SQL Server development, debugging, and performance tuning.
SSIS development, deployment, and troubleshooting.
Data profiling, validation rule design, quality scoring, and measurement techniques.
ETL/ELT pipeline design, debugging, and optimization.
Data modeling (conceptual, logical, physical).
Metadata management and lineage documentation.
Reporting and dashboarding with Power BI, Tableau, or similar tools.
Strong documentation and communication skills.
Preferred Skills Knowledge of DAMA DMBoK, DCAM, MDM concepts, and governance frameworks.
Experience in low maturity/green field data environments.
Familiarity with AI/ML data readiness and feature store aligned data structuring.
Cloud data engineering exposure (Azure, Databricks, GCP).
Education Bachelor’s degree in Information Systems, Computer Science, Data Science, Statistics, Business Analytics, or related field.
Master’s degree preferred.
Certifications (Preferred) DAMA CDMP (Associate/Practitioner) EDM Council DCAM ASQ Data Quality Credential Collibra Data Steward Certification Certified Data Steward (eLearningCurve) Cloud/AI certifications (Azure, Databricks, Google)
Title: Data Migration Specialist
Location: San Diego, CA
Duration: 6-9 Month Assignment + Potential Extensions
Work Model: Fully On-Site
Pay rate: $21-23/hour
Start Date: March 16, 2026
JOB DESCRIPTION
One of our large CDMO clients is seeking data migration specialist to transition from a legacy Quality Management System (QMS) to MasterControl. This role focuses on extracting structured and unstructured data from the previous QMS platform, validating its accuracy, and entering and organizing information within MasterControl according to established procedures. The ideal candidate is detail‑oriented, highly organized, and comfortable working with quality documentation and regulated data environments.
Key Responsibilities
- Extract data from the legacy QMS, including documents, records, metadata, and historical logs.
- Review, clean, and validate extracted data to ensure accuracy, completeness, and compliance with internal standards.
- Input and upload data into MasterControl following defined workflows and naming conventions.
- Collaborate with Quality, IT, and Compliance teams to resolve discrepancies and clarify data requirements.
- Maintain detailed logs and status reports to track progress and identify issues during migration.
- Support testing and verification activities to ensure data integrity after import into MasterControl.
- Follow all SOPs, work instructions, and regulatory guidelines related to data handling and documentation control.
Required Skills and Experience:
- High School Diploma
- Experience with Data Entry or Document Control in a regulated environment
- Ability to type 40+ words per minute
- Microsoft Office proficiency
Nice to Have Skills & Experience:
- Experience with MasterControl
Compensation:
$21.00/hr to $23.00/hr.
Exact compensation may vary based on several factors, including skills, experience, and education.
Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k)-retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.
Job Summary:
Our client is seeking a Data Steward to join their team! This position is located Hybrid in Creve Coeur, Missouri.
Duties:
- Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders
- Participate in data scraping, data curation and data compilation efforts
- Ensure high quality of the data to end users
- Ensure high quality of the inhouse data via data stewardship
- Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team’s established processes and methodologies
- Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts
- Define data quality rules and implement automated monitoring, reporting, and remediation solutions
- Coordinate intake and resolution of data support tickets
- Support data migration from legacy systems, data inserts and updates not supported by applications
- Partner with the Data Governance organization to ensure data is secured and access is being managed appropriately
- Identify gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures
- Create mapping documents and templates to improve existing manual processes
- Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process
- Help answer questions from the end-users and coordinate with technical resources as needed
- Build prototype SQL and continuously engage with end consumers with enhancements
Desired Skills/Experience:
- Bachelor's Degree in Computer Science, Engineering, Science, or other related field
- Applied experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc..
- Applied experience with querying SQL and/orNoSQL databases
- Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc.
- Data Warehousing experience
- Strong written and verbal communication skills
- Comfortable balancing demands across multiple projects / initiatives
- Ability to identify gaps in requirements based on business subject matter domain expertise
- Ability to deliver detailed technical documentation
- Expert level experience in relevant business domain
- Experience managing data within SAP
- Experience managing data using APIs
- Big Query experience
Benefits:
- Medical, Dental, & Vision Insurance Plans
- Employee-Owned Profit Sharing (ESOP)
- 401K offered
The approximate pay range for this position starting at $104,000 - $115,000+ Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
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Company Description
Spiras Health delivers personalized healthcare services at home, focusing on patients at high risk of emergency events or hospitalizations. By addressing the unique needs of individuals with chronic diseases, multiple health conditions, and other social determinants of health, Spiras Health enhances quality of life and reduces healthcare costs. Through collaboration with health plan providers and care management teams, the company employs local Clinical Care Teams to deliver tailored home-based care. Leveraging innovative technology, Spiras Health ensures efficient and effective program delivery. For more information, visit .
Who We Are: Excellence, Innovation, Passion, Compassion, Communication
Spiras Health is a value-based, nurse practitioner led clinical provider of care-at-home and other health-related services to individuals with complex and polychronic needs. Spiras’ comprehensive approach to care delivery includes a combination of home-based services, telehealth, two-way digital communications, and remote patient monitoring. Proprietary predictive modeling identifies and assesses individuals with an elevated probability of avoidable costs. Spiras Health then develops actionable plans of care, addresses barriers including social determinants of health and delivers high quality patient care in collaboration with the patient’s treating physicians. Spiras’ innovative multi-modal care approach delivers improved satisfaction and clinical metrics as well as financial savings to its partners, through a geographically and economically scalable delivery model. Our culture is anchored on a promise of full accountability and integrity in everything we do.
How We Serve:
The Senior Data Analyst, in partnership with the Chief Financial Officer and Chief Commercial Officer, will design and develop market and opportunity analysis, monitor and measure contract performance, and model operational strategies and initiatives. Additionally, this role offers opportunity to engage with senior management and business unit leaders, contributing key insights that inform strategic decision making that ultimately supports the company’s growth.
Job Summary:
The Sr Analyst - Data & Analytics owns the integrity, analysis, and interpretation of payer claims data to support performance measurement, utilization management, and value-based care initiatives. This role is hands-on and accountable for claims QA, utilization metrics, and analytics outputs used by clinical, operations, and executive stakeholders.
This is an individual contributor role with strong technical depth in payer claims data and healthcare analytics platforms, including MedeAnalytics.
Key Responsibilities
Claims Data Quality & Governance
- Own QA processes for medical and pharmacy claims data, including eligibility, provider, diagnosis, procedure, and financial fields
- Identify, quantify, and resolve data anomalies (e.g., lag, duplication, missing claims, inconsistent coding)
- Partner with data engineering, vendors, and payers to remediate data quality issues
- Define and maintain claims data validation rules and documentation
Analytics & Utilization Management
- Analyze and report on core utilization metrics, including:
- Inpatient admits / 1,000
- ED visits / 1,000
- Readmissions
- PMPM cost trends
- Length of stay
- Avoidable admissions
- Apply payer benchmarks (national, regional, risk-adjusted where applicable) to contextualize performance
- Support matched cohort, pre/post, and trend analyses
- Translate claims data into actionable insights for clinical and operations teams
Platform Ownership (MedeAnalytics)
- Serve as a power user and analytics owner of the MedeAnalytics platform
- Build, validate, and QA dashboards, reports, and analytic views
- Ensure alignment between platform outputs and internal data models
- Act as internal SME for MedeAnalytics capabilities and limitations
Stakeholder & Team Collaboration
- Partner closely with:
- Clinical leadership
- Operations
- Finance
- Growth
- Present findings to senior leadership in clear, non-technical language
Required Qualifications
- 5–8 years of healthcare analytics experience
- Deep experience working with payer medical and pharmacy claims data
- Strong understanding of utilization metrics and healthcare cost drivers
- Hands-on experience with MedeAnalytics (required)
- Advanced SQL/SAS skills; experience with data visualization tools (Tableau, Power BI, or equivalent)
- Proven ability to QA complex healthcare datasets
- Bachelor’s degree in Analytics, Statistics, Health Informatics, or related field
Preferred Qualifications
- Experience supporting value-based care, MA, D-SNP, or ACO programs
- Familiarity with HEDIS, Stars, or CMS reporting concepts
- Experience with risk adjustment (HCCs)
Physical Requirements:
- Prolonged periods of sitting at a desk and working on a computer.
- This job operates in a hybrid professional environment free from noise and distraction. This role routinely uses standard office equipment such as computers and phones.
- The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
- Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus.
- While performing the duties of this job, the employee is regularly required to talk and hear.
- This position requires the ability to occasionally lift office products and supplies, up to twenty pounds.
EEOC STATEMENT:
- All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.
About Us:
Loloi Rugs is a leading textile brand that designs and crafts rugs, pillows, and throws for the thoughtfully layered home. Family-owned and led since 2004, Loloi is growing more quickly than ever. To date, we’ve expanded our diverse team to hundreds of employees, invested in multiple distribution facilities, introduced thousands of products, and earned the respect and business of retailers and designers worldwide. A testament to our products and our team, Loloi has earned the ARTS Award for “Best Rug Manufacturer” in 2010, 2011, 2015, 2016, 2018, 2023, and 2025.
Security Advisory: Beware of Frauds
Protect yourself from potential fraud and verify the authenticity of any job offer you receive from Loloi. Rest assured that we never request payment or demand any sensitive personal information, such as bank details or social security numbers, at any stage of the recruiting process. To ensure genuine communication, our recruiters will solely reach out to applicants using an @ email address. Your security is of paramount importance to us at Loloi, and we are committed to maintaining a safe and trustworthy hiring experience for all candidates.
As the Data Analyst, Strategic Insights & Visualization you will play a dual role within our data organization: you will be the primary storyteller for our business performance, but you will also be a hands-on technical practitioner responsible for the integrity of our reporting suite. You won’t just build dashboards; you will define the metrics that drive our strategy. Whether it’s untangling a complex business logic request, auditing data quality in our Power BI apps, or partnering with business leaders to prioritize their roadmaps, you will lead with data. If you are a proactive problem-solver who loves to turn raw numbers into actionable business narratives, this is the role for you.
Responsibilities
Technical Execution
- Reporting & Visualization: Act as the primary resource for building and maintaining Power BI reports and dashboards. Personally manage the end-to-end deployment of Power BI Apps, ensuring high performance and intuitive user experiences.
- Metric Logic: Write and optimize the SQL and DAX required for complex business logic. Work with the data engineering team to pull the necessary data across source systems. Take ownership of metric definitions to ensure consistency across all departments, from ERP inventory tracking to Ecommerce sales performance.
- Support & Triage: Manage the support queue for reporting incidents. Investigate data discrepancies, perform root cause analysis on quality issues, and ensure that our "source of truth" remains accurate and trusted by the organization.
Leadership & Operations
- Data Governance: Lead the development and maintenance of the enterprise data dictionary and business glossary. Ensure that all technical terms are translated into clear business language for non-technical stakeholders.
- Quality Control: Define and implement data quality rules and readiness scoring. Monitor data freshness and completeness, proactively alerting the engineering team when pipelines impact reporting SLAs.
- Security & Access: Help define access control and data security within the reporting environment, ensuring that users have the appropriate permissions and that sensitive data is protected according to company standards.
Stakeholder Collaboration
- Business Liaison: Act as the primary bridge between the data team and business leaders. Translate vague requests ("we need better inventory insights") into clear technical requirements and prioritized project milestones.
- Domain Prioritization: Participate in quarterly planning to sequence requests for Ecommerce, ERP, and Operations. Collaborate with the AI/ML team to prioritize use cases and define KPIs for advanced analytics initiatives.
- Self-Service Enablement: Conduct work sessions with business users to promote BI tool adoption and empower departments to perform their own ad-hoc analysis.
Experience, Skills, & Ability Requirements
- Bachelor’s degree in Business Analytics, Statistics, Information Systems, or equivalent professional experience
- 3+ years of hands-on experience in a Data Analyst or Business Intelligence role, preferably supporting Ecommerce or Retail operations.
- Proven track record of translating complex business requirements into robust, automated analytic reports and dashboards.
- Strong SQL skills and the ability to write complex queries to extract and transform data
- Proven proficiency in Power BI and DAX; experience managing Power BI service, workspaces, and app deployments.
- Strong understanding of data modeling concepts, specifically Star Schema and dimensional design.
- Experience with Microsoft Fabric or the Azure data stack.
- Proactive attitude toward data quality and a "details-matter" mindset when auditing reports.
- Excellent communication skills with the ability to explain complex data trends to executive stakeholders.
- Familiarity with Tableau.
- Microsoft Certified: Power BI Data Analyst Associate (PL-300).
- Experience modeling datasets (such as inventory, sales, or web performance) to identify trends, correlations, and performance gaps.
- Knowledge of basic Python for advanced forecasting or data manipulation.
What We Offer
- Health, dental, and vision benefits
- Paid parental leave
- 401(k) with employer match
- A culture of meritocracy that fosters ongoing growth opportunities
- A stable, growing family-owned company that looks after its employees
Loloi Rugs does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits. We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.
Your role and responsibilities
About the Opportunity
IBM Consulting is seeking an accomplished Data & Analytics Associate Partner to accelerate our growth within the Industrial & Communications sectors. This executive role is responsible for shaping client vision, cultivating senior executive relationships, and developing data-driven solutions that enable clients to successfully navigate complex transformation programs.
You will bring together deep industry expertise and IBM’s portfolio of data, analytics, and AI capabilities to help organizations modernize their data ecosystems—migrating from legacy platforms to modern hybrid cloud architectures—while adopting next-generation analytics, GenAI, and agentic AI to strengthen decision-making and deliver measurable business and financial outcomes.
This role is ideal for a seasoned leader who integrates industry depth, consulting excellence, and technical thought leadership, has a strong understanding of competitive market dynamics, and consistently delivers high-impact transformation at scale.
Key Responsibilities
Market Leadership & Growth
Expand IBM’s Data & Analytics presence by identifying new market opportunities, developing differentiated solutions, and building a strong pipeline.
Engage senior client executives to understand strategic priorities and shape data transformation roadmaps aligned to their business and financial goals.
Lead end-to-end sales cycles, including solution definition, proposal leadership, financial structuring, and contract negotiation.
Strategic Advisory & Transformation Delivery
Advise C-suite leaders on strategies to their data estate modernization, advanced analytics, GenAI, and agentic AI to drive business performance.
Architect integrated solutions that include:
Migration from legacy data platforms to modern cloud-based architectures
Data engineering and Information governance
Business intelligence and advanced analytics
GenAI-powered and agentic AI-driven automation and decisioning
Lead complex transformation programs from discovery through delivery, ensuring measurable outcomes and client satisfaction.
Engagement Excellence & Financial Stewardship
Oversee multi-disciplinary delivery teams to ensure high-quality, consistent execution across all program phases.
Manage engagement financials, including forecasting, margin performance, and overall portfolio profitability.
Align right client technologies, industry expertise, and global delivery capabilities to maximize client value.
Practice Building & Talent Development
Recruit, mentor, and grow top-tier consultants, architects, and data specialists.
Build and scale capabilities in data modernization, cloud data engineering, analytics, GenAI, and emerging agentic AI techniques.
Contribute to practice strategy, offering development, and capability growth across the global Data & Analytics team.
Thought Leadership & Market Presence
Stay ahead of sector and technology trends, including cloud modernization, GenAI, agentic system design, regulatory changes, and evolving competitive dynamics.
Represent IBM at industry conferences, client events, webinars, and executive roundtables.
Create original thought leadership—articles, perspectives, point-of-views—that positions IBM as a leading advisor in data and AI-driven transformation.
This position can be preformed anywhere in the US.
"Leaders are expected to spend time with their teams and clients and therefore are generally expected to be in the workplace a minimum of three days a week, subject to business needs."
Required technical and professional expertise
Qualifications
12+ years of experience in consulting, data strategy, analytics, or digital transformation, with strong exposure to the Industrial or Communications sectors.
Hands-on experience modernizing data ecosystems, including migrating from legacy on-premise platforms to modern cloud-native or hybrid cloud architectures.
Deep expertise with major cloud platforms and their data/analytics stacks, including implementation experience with:
AWS (e.g., Redshift, S3, Glue, EMR, Athena, Lake Formation, Bedrock, SageMaker)
Microsoft Azure (e.g., Azure Data Lake, Synapse, Data Factory, Databricks on Azure, Fabric, Cognitive Services)
Google Cloud Platform (e.g., BigQuery, Cloud Storage, Dataflow, Dataproc, Vertex AI)
Experience designing and implementing end-to-end data pipelines, governance frameworks, and analytics solutions on one or more of these platforms.
Strong understanding of GenAI architectures, LLM integration patterns, vector databases, retrieval-augmented generation (RAG), and emerging agentic AI frameworks.
Proven track record of selling, structuring, and delivering large-scale data and AI transformation programs.
Robust technical and functional expertise in data engineering, cloud data platforms, analytics, AI/ML, information management, and governance.
Executive-level communication and presence, with demonstrated ability to influence senior stakeholders and convey complex topics through compelling narratives.
Financial management experience, including engagement economics, forecasting, margin optimization, and portfolio profitability.
Demonstrated leadership in building, scaling, and developing high-performing consulting and technical teams.
Preferred technical and professional experience
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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Minimum of five years experience working in analytics with hospitals and health plans.
Advanced proficiency required with VBA, SQL, Salesforce, Excel and Access.
High-level skills using web applications and all browsers; ability to teach others how to use web-based database functions.
Demonstrated experience using Microsoft Office computer applications, including Word, Access, Outlook and SharePoint.
Advanced knowledge of Excel required.
Detail-oriented with strong follow-through and ability to work independently given standard guidelines and checklists.
Good writing and communication skills.
Able to draft grammatically correct and professional email messages.
Demonstrated experience in working successfully with minimal supervision.
Must have knowledge of medical and health care terminology.
Ability to complete HIPAA training and implement high-level protections on patient information and confidentiality.
Must work effectively independently and in a team setting.
Ability to relate well with internal and external customers.
Quality/Metrics: Gather and perform analysis on data from Salesforce, Loopback, Excel, and other databases as required.
Perform data cleaning as needed to ensure data are consistent and analyzable.
Create data reports, charts, graphs and tables for regular reporting to program leads and external partners.
Export data from software systems and program tracking logs for agency reporting.
Assemble reports, papers and presentation materials as directed.
Collect data through phone and in-person interviews.
Record or transcribe data in accordance with project and funding source guidelines.
Perform literature reviews (locating, listing &/or abstracting articles).
Enter literature references into shared database (such as EndNote) Responsibilities: Data cleaning, formatting, and maintenance as needed.
Data visualization and analysis of program metrics.
Data Entry for the program(s) assigned.
Program reporting/billing/invoicing support.
Administrative duties as needed (Mailing and other assigned work) Establish and maintain systems for program accountability – reports track performance.
Attend and ensure follow up after all meetings and presentations – minutes, reports, action plans, assignments, and etc.
Monitors performance, responsibilities of field staff with respect to database management, metrics, and documents.
Reports all errors in systems, workflows, and both internal and external individuals.
Completes reporting (both internal and contractual requirements) with thorough knowledge and understanding of what is being reported.
Develops and maintains a current understanding of the Department’s Contractual Agreements.
Must have professional verbal and written skills, computer/software skills.
Assists with both internal and external customer service calls, emails, and requests.
Other Miscellaneous tasks assigned, as needed.
SQL Server database design, implementation, troubleshooting Develop, optimize, and maintain complex T-SQL queries, stored procedures, indexes, constraints; resolve performance issues, deadlocks, and contentions using traces, execution plans, and profiling.
Design, develop, test, and implement ETL/ELT processes using Talend for data extraction, transformation, and loading from diverse sources, including Salesforce CRM data.
Administer and optimize Talend environment, including job scheduling, dependencies, monitoring, automation, patches, upgrades, and performance tuning.
Integrate Salesforce data (e.g., via APIs, connectors) into SQL Server databases and data warehouses, ensuring data quality, synchronization, and real-time/ batch processing.
Collaborate face-to-face/with business stakeholders to analyze requirements, gather specifications, evaluate data sources/targets, and design solutions that improve business performance.
Lead ETL development activities, ensure code quality, provide feedback on performance.
Support enterprise data warehouse, data marts, and business intelligence initiatives; perform source data analysis and dimensional modeling.
Develop and automate processes using scripting.
Provide tier 2/3 support, evaluate production issues, recommend improvements, and participate in project planning following Agile methodologies.
Perform proactive performance optimization, and data synchronization across environments Mentor staff, recommend process enhancements, and contribute specialized knowledge across IT and business operations.
Document data integration processes, workflows, ETL designs, data mappings, technical specifications, and system configurations Manage version control, deployments Collaborate on testing (unit, integration, UAT Translated business requirements into actionable data specifications, documentation, and code solutions using Salesforce Object Manager and official documentation Reviewed Salesforce release notes, verified production deployments, and conducted feature testing across sandbox and production environments with detailed feedback submission Developed and maintained complex SOQL queries to support data team operations, reporting, and analytics needs Designed and built custom Salesforce reports to support data operations and Enhanced Care Management (ECM) programs Developed and deployed end-to-end solutions for processing health plan MIF data, enabling efficient insert, update, and reporting workflows for Lead and Case objects Performed large-scale data inserts, updates, and migrations using Salesforce Data Loader in both sandbox and production environments Extracted, analyzed, and transformed backend Salesforce data using Talend and SQL to produce accurate reports for compliance, billing, and operational needs Identified and resolved reporting discrepancies and data quality issues through root-cause analysis and targeted corrections Cleaned, standardized, and transformed referral data for mass uploads into Salesforce while enforcing validation rules and workflow requirements Created Salesforce-based error reports that enabled program teams to quickly identify and correct data entry issues Conducted data gap analyses against vendor reporting requirements and designed field transformations and new data structures to meet compliance and reporting standards Integrated offshore datasets with Salesforce records to address missing or incomplete data, improving accuracy for reporting and billing Reduced manual data entry and correction efforts by automating large-scale updates, inserts, and fixes via Salesforce Data Loader Maintained vendor zip code records in Salesforce to ensure accurate service area tracking, correct billing rates, and reliable historical reference Partners in Care Foundation is an equal opportunity employer.
We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations.
It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of age, race (including hair texture and protective hairstyles, such as braids, locks, and twists), color, national origin, ancestry, religion, sex, sexual orientation, pregnancy (including childbirth, lactation/breastfeeding, and related medical conditions), physical or mental disability, genetic information (including testing and characteristics, as well as those of family members), veteran status, uniformed service member status, gender, gender identity, gender expression, transgender status, arrest or conviction record, domestic violence victim status, credit history, unemployment status, caregiver status, sexual and reproductive health decisions, salary history or any other status protected by federal, state, or local laws.
All qualified applicants will receive consideration for employment and reasonable accommodations may be made to enable qualified individuals to perform the essential functions of the position.
Remote working/work at home options are available for this role.
Data Analytics Internship
Los Angeles, CA, USA (Hybrid role)
Part-Time, $17.87/hr, Mid-April 2026 to Mid-August 2026.
DailyLook, a subsidiary of Victoria’s Secret & Co. (NYSE: VSCO) since being acquired in December 2022, is seeking a Data Analytics Intern. This internship offers the opportunity to work across 2 key teams at Dailylook: Demand Planning and Data Growth. The intern will be at the core of the business, leveraging data and analytics to support strategic initiatives and help drive data-informed improvements across operations, inventory planning, and growth initiatives. This is a great chance to gain hands-on experience working with real business data while contributing to impactful decisions!
Qualifications for the Position
- A degree in (or a junior, senior or graduate student pursing a degree in): data science, statistics, computer science, economics (quantitative track), applied analytics, mathematics or business analytics.
- GPA 3.3+ preferred
- Coursework or experience in: Statisical analysis, data analytics, machine learning.
- Experience with database systems, SQL and Python
- Familiarity with BI tools such as Looker or Tableau.
- Exemplary interpersonal communication skills both verbal and written
- Highly motivated, collaborative
- Experience in a Startup or Retail industry is an extra plus!
- An intellectually curious team player with a no-compromises approach to work quality, attention to detail, organization, and the ability to manage multiple priorities and projects in a fast-paced environment
- Self-motivated, detail-oriented, hands-on go-getter with the ability to build and suggest overhaul processes where needed, take initiative, work independently and proactively, multi-task, and remain flexible with changing priorities
- “I’ll find a way!” mindset where you can leverage your autonomy within your role to think outside the box.
- Demonstrated ability to communicate and collaborate effectively across global teams by adapting to diverse cultural norms, respecting time zone differences, and leveraging digital collaboration tools to maintain alignment and productivity
- Skilled in building trust and fostering inclusive communication styles that support clarity, empathy, and shared goals in international work environments
- Ability and willingness to work on-site at our office in Downtown LA at least once a week.
Responsibilities
- Reports to the Planning Team.
- Maintain and migrate existing demand planning and inventory reports to the current BI tool.
- Build and update weekly and monthly dashboards covering product performance, box performance, and styling metrics
- Assist in developing demand planning assumptions and forecasting frameworks (style demand, size curves, inventory flow)
- Build basic planning tools in Google Sheets / BI tools to support: Size curve projections & Product lifecycle tracking
- Conduct assortment and scenario analysis to support predictive demand planning
- Analyze inventory health, sell-through trends, and replenishment opportunities
- Identify optimization opportunities within the current planning workflow and BI infrastructure
- Document demand planning processes and support improvements to internal planning tools.
- Support the team in analyzing marketing and subscription performance, including acquisition, traffic/funnel, CRM, engagement, etc.
- Support migration and setup of analytics tools and platforms to improve tracking of user behavior and marketing performance
- Assist with dashboard updates, reporting, and basic data checks to ensure data quality
- Help monitor A/B tests and experiments for CRM campaigns and website initiatives
- Conduct ad-hoc analyses to provide insights and recommendations for the team
- Document data workflows & the new data infrastructure.
Compensation & Benefits
The pay for this position is $17.87 an hour. This is a non-exempt, part-time position.
DailyLook is proud to provide equal opportunity to all employees and qualified applicants without regard to race, color, religion, national origin or citizenship, age, sex, marital status, ancestry, legally protected physical or mental disability, veteran status, gender identity, sexual orientation or any other basis protected under applicable law.
By applying for this position, the applicant authorizes DailyLook to check all references list on your application and/or resume.
Title:Sr. Manager Data Governance
Location: Richardson, TX Hybrid
Duration: 6 months possibility of FTE conversion yes
JOB SUMMARY
This position incubates and establishes a leading-edge global Data Governance function to support business segments, corporate functions and the Digital & Technology stakeholders. The responsibility includes
- Liaise directly with clients and account teams to provide strategic direction on implementation of data governance programs, best practices, adoption of standards, mast data management, and data quality improvement while leveraging leading-edge data governance tools and technology.
- Collaborate with and manage highly performing data governance and data management professionals that support occupier clients and account teams.
- Provide support on data strategy execution in the adoption of data products including enterprise data platform that provides game-changing analytics in the CRE industry.
- Serve as the data governance champion of strategic data products and supporting metadata and reference data.
- Implement and support data ownership and stewardship programs for stakeholders across the business to ensure that account teams adopt improved data governance and management practices.
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Participate in the strategy, planning, and execution for Enterprise Data Governance at, focusing on Building Operations & Experience (BOE) business segment. Ensure the company has urgency, sensitivity and thought leadership for competitive capabilities around data.
- Demonstrated leadership experience in a large, complex, global organization, including the ability to effectively work and communicate across organizational lines. Ensure business stakeholder understanding, alignment and commitment to the objectives of the data governance and management program(s). Be the champion and evangelist for data, the business value, and the potential innovations. Be the trusted advisor to senior leadership and peers.
- Demonstrated experience in building relationships and leading high-performing teams with top talents around the world. Build a high performance environment and execute a people strategy that attracts, retains, develops and motivates their team by fostering an inclusive work environment, communicating vision/ values/ business strategy and managing succession and development planning for the team.
- Collaborate with partners across business segments/ business lines, regions and accounts to develop consistent data governance capabilities at all levels, influencing decisions relating to policy, practices, supporting technology, and talent development.
- Establish leading data management practices and shared services relating to data quality, data provisioning, metadata, lineage, reference data, issue management and change management.
- Implement data governance as commodity services that could be leveraged by various clients in different industries. Understand clients' appetite and risk culture in day-to-day support activities and decision-making.
- Establish account team data governance programs. Define data domains and implement business oversight via essential data governance organizations and RACI (i.e. central data governance function, Data Ownership and Stewardship Program, etc.). Establish data standards, policies and controls. Design and implement the framework, including associated processes, necessary to sustain a data control environment. Monitoring compliance with data policies and standards
- Establish account team and cross-account data quality framework necessary to enable data quality reporting, issue identification, remediation and tracking, ultimately ensuring trust and confidence in data across domains.
- Guide the client accounts to adopt the strategic data products including existing account migrations and new account transitions. Manage data to support and its clients' business intelligence and scale appropriately with business growth.
- Experience in leading and driving leading-edge data innovation initiatives including big data, cloud computing, IoT, data virtualization and federation, etc., is a plus.
- Create and implement strategic approaches, plans, timelines, preparation of business cases to ensure expedited handling of client data protection, and other data compliance and security requirements.
- Develop and implement metrics needed to monitor/ report on data governance and data management progress
- Develop communication approaches and change management strategies; determines presentation focus and emphasis and prepares board-level presentations.
- Performs other duties as assigned.
SUPERVISORY RESPONSIBILITIES
Manages the planning, organization, and controls for a major functional area or department. Position will be responsible for managing direct reports across the Americas region and working with peers across all regions, requiring flexibility in schedule. May also be responsible for matrix reports. This position requires subordinates' recommendations for staff recruitment, selection, promotion, advancement, corrective action and termination. Effectively recommends same for direct reports to next level management for review and approval. Monitors appropriate staffing levels and reports on utilization and deployment of human resources. Leads and supports staff in areas of staffing, selection, training, development, coaching, mentoring, measuring, appraising, and rewarding performance and retention. Leads by example and models behaviors that are consistent with the company's values.
QUALIFICATIONS
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
EDUCATION and EXPERIENCE
Bachelor's degree (BA/BS) from four-year college or university and a minimum of eight years of related experience and/or training, including five years of experience at the management level.
- 5 or more years of progressively responsible management positions in complex organizations required. Demonstrated success with high visibility projects, leaders in technology use and development, change management, budget and business case development and staff development.
- 5 or more years of related experience in related industry; commercial real estate management preferred.
- 7 or more years of data management related experience such as data analysis, data governance, enterprise information management, data modeling, and data quality management. analytics experience desired, i.e., data visualization, data analytics, data mining, business intelligence, etc.
- Candidates must have experience working in large organizations with geographically dispersed teams and complex technical environments.
- Experience in dealing with internal and external customers, service providers and vendors. Must be able to manage competing priorities. Needs to be resilient; resolving conflicts quickly to achieve desired business results.
- Bachelor's degree in business administration, Information Management, MIS, Business Intelligence and Data Science, Library Science, Computer Science or related fields; advanced degree preferred.
CERTIFICATES and/or LICENSES
None
COMMUNICATION SKILLS
- Ability to comprehend, analyze, and interpret the most complex business documents. Ability to respond effectively to the most sensitive issues. Ability to write reports, manuals, speeches and articles using distinctive style. Ability to make effective and persuasive presentations on complex topics to employees, clients, top management and/or public groups. Ability to motivate and negotiate effectively with key employees, top management, and client groups to take desired action.
- Ability to establish and maintain a high level of customer trust and confidence in the overall information and analytics space
- Excellent oral, written, and presentation communication skills. Strong negotiation and group facilitation skills; ability to move a process forward, while meeting the needs of a variety of clients.
- Excellent collaboration, influence and leadership skills. Ability to work with various levels of peers including analysts, developers and executives regarding complex business and data related issues.
- Relationship management skills that include excellent listening and consultative capability, the ability to influence and negotiate with business and technology partners to drive change, and the ability to take a broad perspective and make key connections
FINANCIAL KNOWLEDGE
- Requires basic knowledge of financial terms and principles.
- Participates in complex financial/business analysis and report reviews prepared peers or leaders.
- Manages to and oversees department budget.
REASONING ABILITY
- Ability to solve advanced problems and deal with a variety of options in complex situations. Requires expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based environment. Draws upon the analysis of others and makes recommendations that have a direct impact on the company.
- Understanding of global organizational design and the ability to shape and drive large-scale, cross-functional programs around people, technology, processes, and tools.
- Demonstrated ability to balance long-term strategy with quick wins.
- Demonstrated ability for strategic influencing and education of cross-functional stakeholders about the strategic importance and value of data governance
- Excellent managerial skills; collaborative, imaginative, resourceful, reliable, technically savvy.
- Superior analytical and creative problem-solving skills. Demonstrated successes in data analysis, drawing conclusions and improvement. Apply listening and consultative skills to understand business needs; be able to interpret requirements, identify impacts and analyze problems to determine impacts to business processes across the organization.
- Ability to work well under deadlines, ability to work in a multi-tasking production environment to make good judgments about competing priorities.
- Ability to tell a story to explain or sell a concept.
OTHER SKILLS and/or ABILITIES
- Utilizes an entrepreneurial approach and develops innovative solutions.
- Ability to write business cases, process maps, presentation materials and articles using distinctive style.
- Ability to make effective and persuasive presentations on complex topics across various levels of leadership
- Expert level analytical and quantitative skills with proven experience in developing strategic solutions for a growing matrix-based multi-industry sales environment.
- Ability to use strong conceptual and analytical skills to generate insights and recommendations.
- Demonstrated information management and quantitative skills, including working knowledge of IT infrastructure, various technologies/ platforms, and aligned vendor solutions with enterprise strategic priorities.
- Experience managing small to mid-size teams and delivering results.
- Thorough knowledge of cutting-edge data management tools, industry advances, etc.
- Superior project management/ consulting and leadership skills. Demonstrated ability to facilitate complex, mission critical projects and to develop, participate in and guide multi-disciplinary work teams. Manage task timelines and deliverable schedules and share concerns about deliverables, timelines, and issues with Data Governance services or deliverables.
- Superior ability to manage, manipulate and analyze raw data, draw conclusions, and develop actionable recommendations using technology. Articulate the issues and resolutions via business-friendly communications. Serve as primary day-to-day contact for regional data management issues.
- Advanced understanding of data quality management. Knowledge of data governance and how it impacts business processes.
- Knowledge of master data management in a global environment, including data lifecycle and maintenance processes.
- Skills in MS Visio, Word and PowerPoint is a plus.
- Experience with reference data management tools at including Collibra, MS Excel, SQL query, etc., is a plus.
- Software development lifecycle knowledge, with background in agile philosophies and
