Cloudera Data Platform Cdp Data Analyst Jobs in Usa
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We are seeking a highly analytical and business-savvy Front-Facing Data Analyst to serve as
the bridge between our data science team and external stakeholders. This role combines strong technical data skills with client communication, strategic insight, and performance optimization expertise.
The ideal candidate is comfortable analyzing complex datasets, translating findings into actionable insights, and presenting results directly to clients, partners, and executive teams.
Key Responsibilities:
Client & Stakeholder Engagement
- Serve as the primary analytics point of contact for clients
- Present performance reports, dashboards, and model insights
- Translate complex statistical results into clear business recommendations
- Participate in strategy calls
Data Analysis & Reporting
- Analyze large datasets to identify trends, risks, and opportunities
- Build and maintain dashboards (Tableau, Power BI, Looker, etc.)
- Monitor KPIs such as approval rates, conversion, fraud indicators, and portfolio performance
- Segment performance by channel, risk tier, geography, or campaign
- Perform root cause analysis on performance shifts
Modeling & Optimization Support
- Work alongside data scientists to interpret model outputs
- Conduct A/B testing and performance experiments
- Identify segments with low performance and recommend optimization strategies
- Validate model deployment performance in production environments
Cross-Functional Collaboration
- Coordinate with underwriting, marketing, risk, and engineering teams
- Assist in translating business requirements into analytical frameworks
- Support compliance and reporting needs where applicable
Required Qualifications
- Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, or related
- field
- 2–5+ years of experience in data analytics, preferably in fintech or lending
- Strong proficiency in SQL
- Experience with R or Python
- Experience with BI tools (Tableau, Looker, etc.)
- Excellent communication and presentation skills
- Ability to explain technical concepts to non-technical audiences
Preferred Qualifications
- Experience with underwriting analytics or credit risk modeling
- Familiarity with interpretable ML models (scorecards, gradient boosting, etc.)
- Knowledge of fraud detection metrics
- Experience working in a client-facing or consulting environment
Core Competencies
- Strong analytical thinking
- Business acumen
- Executive-level communication
- Detail-oriented but able to see big picture
- Proactive problem-solving mindset
The Operations Data Analyst will play a crucial role in applying data analysis and reporting to support operational performance, production scheduling, and process improvements. This position will work closely with operations teams to assist in scheduling tasks as needed, while also owning analytics processes, reporting, and data-driven insights that improve productivity, quality, and throughput.
***This is 100% on-site, full-time position in Madison, IN. Hybrid or remote work is NOT available.
Qualifications
Technical Skills
- Strong SQL skills: ability to write complex queries, join large datasets, optimize performance, and produce reliable analytical outputs.
- Advanced Excel expertise: pivot tables, VLOOKUP/XLOOKUP, Power Query, macros/VBA a strong plus.
- Experience with data visualization tools (Power BI, Tableau, or similar) preferred.
- Comfortable working with large datasets and generating meaningful insights.
Production Experience
- Understanding of production planning, operations workflows, and scheduling concepts — ideally in a manufacturing/industrial environment.
- Prior work in supporting production operations with analytical tools or capacity planning.
Education
- Bachelor’s Degree preferred — Analytics, Industrial Engineering, Supply Chain, Data Science, Business Analytics, Mathematics, or related field.
- Equivalent experience with strong technical skills considered.
Preferred Qualifications
- Experience with manufacturing ERP/MRP systems.
- SQL Server, MySQL, PostgreSQL, or similar database experience.
- Familiarity with scheduling tools or production modules within ERP systems.
- Knowledge of Lean Manufacturing or Continuous Improvement methodologies.
***FOR IMMEDIATE CONSIDERATION, PLEASE SEND A COPY OF YOUR UPDATED RESUME.
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.
POSITION SUMMARY/RESPONSIBILITIES Responsible for leading the development and management of stroke data for University Hospital.
Performs data collection, analysis and reporting of stroke data compliance with Joint Commission Stroke standards to maintain designation as a Certified Stroke Center.
Collaborates with hospital Stroke Medical Directors, Stroke Coordinator, and Ancillary Program Leadership to advance data collection and develop plans to address variances.
EDUCATION/EXPERIENCE Graduation from accredited school of professional nursing is required.
Must have at least three years of hospital or clinic based experience.
Experience with reporting and analyzing clinical documentation for the Joint Commission accreditation for stroke programs highly preferred.
Work experience with the operation of personal computers and Microsoft Office software is expected.
LICENSURE Current license from the Board of Nurse Examiners of the State of Texas to practice as a registered nurse.
Current training in Basic Cardiac Life Support (CPR) is required.
Licensed for 100 beds, the hospital is a Level IV Trauma Center general acute care facility offering complete Medical and Surgical Services including Pediatrics, Obstetrics and Skilled Nursing, as well as, Emergency, Intensive Care, Cardiac and Comprehensive Diagnostic Services serving the resident of Kleberg, Brooks, Kennedy and southern Nueces counties.
CHRISTUS Spohn Kleberg Plaza houses the hospital's birthing services with modern, state-of-the-art labor/delivery/recovery/postpartum rooms (LDRPs,) a nursery, the Cissy Horlock Taub Women's Center (a diagnostic and education/resource center) and physician office suites.
Outpatient rehabilitation services including occupational, and speech therapy, wound care, physical and aquatic therapy are offered at two convenient locations in Kingsville.
At CHRISTUS Spohn Hospital Kleberg, we respect what each individual brings to our faith-based mission of healing, and to our commitment to provide the very finest health care.
Your background, your skills and your personality are welcome here.
We have a supportive environment where quality of work and quality of life are in balance.
Summary:Under general supervision, performs research and analysis of healthcare data.
Assists in evaluating, writing, and presenting reports.Requirements:Graduate from an accredited school of vocational nursing is required 1 to 3 years Current Texas State LVN license required Work Schedule:5 Days
- 8 HoursWork Type: Full Time
Role : Technical Product Manager ( Data Analytics )
Location - Austin, TX (Onsite) - only Local to Texas (other states don't apply)
Exp Req : 10+
Rate : $55/Hr on W2 Max
Skills Mandatory :
1, Marketing Data Analysis knowledge.
2, KPI and metrics definition on Marketing Data. Mainly for media product.
3, Instrumentation knowledge and through process.
Original JD:
- Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
- Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
- Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
- You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
- Excellent communication, social, and presentation skills with meticulous attention to detail.
- Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
- Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
Job Description :
- Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
- Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
- Closely partner with our Data Science team to define metrics, datasets, and automation strategy
- Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
- Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
- Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
- Education Minimum of a Bachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management
Key Qualifications :
- Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
- Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
- Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
- Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
- Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.
Nice to have :
• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)
Description :
- Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.
Stephen
Lead Talent Acquisition Specialist
Email :
Role : Technical Product Manager ( Data / Analytics )
Location - Austin, TX ( Onsite )
Exp Req : 10+
Skills Mandatory :
1, Marketing Data Analysis knowledge.
2, KPI and metrics definition on Marketing Data. Mainly for media product.
3, Instrumentation knowledge and through process.
Original JD:
- Key Qualification 7+ years of experience in a Data Visualization, Data Scientist, or Data Analyst role, preferably for a digital subscription business.
- Strong proficiency with SQL-based languages is required. Experience with large-scale data technologies such as Hadoop, PySpark
- Proficiency with data visualization tools such as Tableau, , and/or MicroStrategy for analysis, insight synthesis, data product delivery, and executive presentation.
- You have a curious business mindset with an ability to condense complex concepts and analysis into clear and concise takeaways that drive action.
- Excellent communication, social, and presentation skills with meticulous attention to detail.
- Strong time management skills with the ability to handle multiple projects with tight deadlines and executive visibility.
- Be known for successfully bridging analytics and business teams, with an ability to speak the language of both.
Job Description :
- Build dashboards, self-service tools, and reports to analyze and present data associated with customer experience, product performance, business operations, and strategic decision-making.
- Create datasets, Develop global dashboards, data pipelines, sophisticated security controls, and scalable ad-hoc reporting
- Closely partner with our Data Science team to define metrics, datasets, and automation strategy
- Engage with Product, Business, Engineering, and Marketing teams to capture requirements, influence how our services are measured, and craft world-class tools to support those partners.
- Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide transparency on progress.
- Focus on scale and efficiency - create and implement innovative solutions and establish best practices across our full scope of delivery
- Education Minimum of a Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or related field. Technical Product Management
Key Qualifications :
- Experience in a Technical Product Management role, preferably for a digital-media or subscription business.
- Knowledge of Client-Server metrics logging strategies as well as data architecture required for analysis
- Hands-on experience with the end-to-end data lifecycle across petabyte-scale technologies
- Prior experience in a technical role (preferably as a data analyst or engineer), delivering data insights to stakeholders
- Strong experience designing and driving product strategy cross-functionally, collaborating with partners of various technical levels.
Nice to have :
• Experience in data-related programming languages (e.g. SQL, PySpark, Python, or R)
Description :
- Data is our product. We are looking for a self-starting, upbeat individual with excellent communication skills who is passionate about managing and developing critical datasets to maximize Data Science capabilities. You should have a strong interest in driving large-scale data products, engaging with key business stakeholders, and driving critical communications throughout the business.
QUALIFICATIONS Minimum of eight (8) years of experience with the following: Reviewing, analyzing, and evaluating business systems and user needs.
Business analysis areas of knowledge and its associated activities and tasks.
Participating in software development reviews and providing advice and assistance to other team members in analysis, design, and test.
Performing or participating in unit testing, support system testing and user acceptance testing.
Planning and organizing work to meet goals and complete multiple assignments without compromising accuracy.
Software development lifecycle methodologies.
Effective verbal and written communications with both IT and business professionals and clients.
Minimum of five (5) years of experience with the following: Served as a liaison between the business community and customer IT teams (i.e., architecture, project delivery, application sustain, etc.) Analyzing raw data in a data analyst role Requirements gathering, understanding technology, and any project management experience PREFERRED Minimum of eight (8) years of experience with the following: Implementation of case management systems.
Jira project management software.
RESPONSIBILITIES Reviews, analyzes, and evaluates business systems and user needs.
Formulates systems to parallel overall business strategies.
Experienced with business process reengineering and identifying new applications of technology to business problems to make business more effective.
Familiar with industry-standard business process mapping, and reengineering.
Prepares solution options, risk identification, and financial analyses such as cost/benefit, ROI, buy/build, etc.
Writes detailed description of user needs, program functions, and steps required to develop or modify computer programs.
Link Technologies is an equal opportunity employer.
All qualified applicants will receive consideration for employment without discrimination based on race, color, religion, sex, gender identity/expression, sexual orientation, national origin, protected veteran status, disability, or any other factors protected by law.
**Must be able to be onsite in Farmington, CT 2 days a week for collaboration**
The Opportunity: We are seeking a software engineer/developer or ETL/data integration/big data developer with experience in projects emphasizing data processing and storage. This person will be responsible for supporting the data ingestion, transformation, and distribution to end consumers. Candidate will perform requirements analysis, design/develop process flow, unit and integration tests, and create/update process documentation.
· Work with the Business Intelligence team and operational stakeholders to design and implement both the data presentation layer available to the user community, as well as the underlying technical architecture of the data warehousing environment. · Develop scalable and reliable data solutions to move data across systems from multiple sources in real time as well as batch modes. · Design and develop database objects, tables, stored procedures, views, etc. · Independently analyze, solve, and correct issues in real time, providing problem resolution end-to-end · Design and develop ETL Processes that will transform a variety of raw data, flat files, xl spreadsheets into SQL Databases · Understands the concept of Data marts and Data lakes and experience with migrating legacy systems to data marts/lake · Uses additional cloud technologies (e.g., understands concept of Cloud services like Azure SQL server) · Maintain comprehensive project documentation · Aptitude to learn new technologies and the ability to perform continuous research, analysis, and process improvement. · Strong interpersonal and communication skills to be able to work in a team environment to include customer and contractor technical, end users, and management team members. · Manage multiple projects, responsibilities and competing priorities.
Requirements Experience Needed: · Programming languages, frameworks, and file formats such as: Python, SQL, PLSQL, and VB · Database platforms such as: Oracle, SQL Server, MySQL · Big data concepts and technologies such as Synapse & Databricks · AWS and Azure cloud computing · HVR data replication
Segment CDP Platform Consultant Architect (Contract)
KEY POINTS
• Lead architecture & governance of a Twilio Segment CDP platform
• Bethlehem location
• Senior contract role owning data models, identity + CDP operations
ABOUT THE CLIENT
We’re supporting a large organisation investing in customer data infrastructure and modern MarTech.
They are building a Twilio Segment-powered CDP to improve data governance, audience activation, and real-time customer insight.
Due to continued growth, they’re looking for a Segment CDP Architect to take ownership of the platform’s design, governance, and day-to-day operations.
THE ROLE
Senior, hands-on role owning the Segment CDP architecture and operations.
You’ll define the data model, identity strategy, and tracking standards, while ensuring the platform is scalable, compliant, and reliable.
Key responsibilities:
• Own CDP data model and identity resolution (Profiles / Unify)
• Define event schema, naming conventions, and tracking standards
• Configure and govern sources, destinations, and integrations
• Implement Protocols, tracking plans, and schema validation
• Build and optimise Engage audiences and traits
• Manage data quality, SLAs, and platform performance
• Ensure consent, privacy, and governance standards are met
ESSENTIAL SKILLS
• 10+ years in MarTech / CDP / marketing data
• 3+ years hands-on Twilio Segment
• Strong data modelling + identity resolution experience
• Technical capability with JSON, SQL, REST APIs
• Experience with Segment destinations + server-side tracking
• Proven data quality + platform optimisation experience
• Strong understanding of privacy and consent frameworks
NICE TO HAVE
• Warehouse-native CDP / Reverse ETL
• CMP / privacy tooling
• CI/CD for tracking plans
• Experience in regulated environments
TO BE CONSIDERED
Please either apply by clicking online or email me directly at . I can make myself available outside of normal working hours between 7am – 8pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.
KEY SKILLS
Twilio Segment / CDP / Customer Data Platforms / MarTech Architecture / Data Modelling / Identity Resolution / Segment Protocols / Audience Activation / Privacy & Consent / Data Governance / Marketing Technology
