Array Declaration In Data Structure Jobs in Usa
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Who We Are
At Feetures, movement is our business. And we believe that a meaningful business begins with authentic values—and our values were forged by the bonds of family.
What started as a bold idea around a kitchen table has grown into a fast-moving, purpose-driven brand redefining performance. As a family-owned company in North Carolina, we’re fueled by the belief that better is always possible—and that energy drives both our products and our culture.
Movement is at the heart of everything we do. From our socks to our team and to our communities, we are always pushing forward. If you are ready to grow, challenge the status quo, and help shape the next chapter of a brand that is always in stride, come move with us. Feetures is Meant to Move. Are you?
Role Summary:
The Data Analytics Manager is responsible for owning and optimizing the organization’s end-to-end data ecosystem, ensuring that data infrastructure, governance, and analytics processes effectively support business operations. This role leads the design and management of the data stack—from source system integrations and NetSuite Analytics Warehouse to reporting and business intelligence tools—while establishing strong data governance standards, quality monitoring, and documentation practices. The manager also oversees and mentors analytics team members, prioritizes analytics requests, and coordinates cross-functional data workflows. Acting as the central authority for data reliability and insights, the role ensures consistent metric definitions, scalable data models, and accurate reporting while translating complex data into clear, actionable insights for business stakeholders.
Responsibilities:
Data Architecture & Tooling
- Own the end-to-end data stack — from source system integrations and the NetSuite Analytics Warehouse to downstream reporting layers
- Evaluate, select, and implement tools that improve data accessibility, reliability, and performance
- Ensure alignment between data infrastructure and evolving business needs across distribution operations
- Design and maintain scalable data models, SuiteQL queries, and saved searches within NetSuite
Data Governance & Quality
- Define and enforce data standards, metric definitions, and naming conventions across all business domains
- Establish data ownership, lineage documentation, and access governance policies
- Implement monitoring and alerting for data quality issues across source systems and the warehouse
- Build and maintain a data dictionary that serves as the single source of truth for the organization
Orchestration of Analysts & Systems
- Manage and mentor the Data Analyst and Business Analyst — prioritizing requests, unblocking work, and validating outputs
- Triage and prioritize the analytics request queue in alignment with business stakeholders and IT leadership
- Coordinate cross-functional data workflows and ensure handoffs between systems and analysts are clean and documented
- Serve as the escalation point for data discrepancies, report failures, and analytical questions from the business
Qualifications:
Required
- 3-5 years of experience in data analytics, business intelligence, or data engineering
- 2+ years in a lead or management role overseeing analysts or data team members
- Strong proficiency in SQL; experience with SuiteQL or similar ERP query languages
- Hands-on experience with NetSuite, including Analytics Warehouse, saved searches, and reporting
- Proven track record establishing data governance standards and documentation practices
- Experience integrating and managing multiple data sources across SaaS and ERP platforms
- Demonstrated ability to translate complex data into clear, actionable insights for non-technical stakeholders
Preferred
- Experience in distribution, wholesale, or supply chain environments
- Familiarity with SaaS BI platforms (e.g., Tableau, Power BI, Looker, or embedded analytics)
- Exposure to scripting or automation (JavaScript, Python, or similar) for data workflows
- Background working within IT-led or hybrid IT/Analytics teams
Benefits:
- Health insurance
- Dental insurance
- Vision insurance
- Life & Disability insurance
- 401(K) with company match
Company Paid holidays and PTO:
- Feetures offers 20 PTO Days which are available to you on day one of employment and are available to all employees, no matter your role. After working at Feetures for 5 years, your PTO days will increase to 25 days. Days can be used for vacations, appointments and sick days.
- We offer 10 company paid holidays and 1 floating holiday per year.
Perks:
- Parking provided (Charlotte office and onsite at Hickory office)
- Employee Engagement team
- Monthly stipend to pursue an active lifestyle
Feetures is an Equal Opportunity Employer that welcomes and encourages all applicants to apply regardless of age, race, sex, religion, color, national origin, disability, veteran status, sexual orientation, gender identity and/or expression, marital or parental status, ancestry, citizenship status, pregnancy or other reasons protected by law.
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 :
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
Team & Mission
The Privacy & Conversion Data team is responsible for how the company safely and compliantly uses conversion data to power monetization. We build and operate the core privacy infrastructure behind ads reporting and optimization, including controlled data environments, finegrained access controls, centralized privacy rules enforcement, and deidentification pipelines for conversion data. Our mission is to make conversion data privacypreserving by default-centralized, deidentified, auditable, and easy for teams to use, while maintaining high utility for advertisers and staying ahead of an evolving global regulatory landscape.
Role Summary
We're seeking a Staff Engineer to lead the architecture and technical direction for the conversion data privacy platform, spanning both core Conversion Data systems and deidentification for ads reporting. You'll own the endtoend design and evolution of privacycritical pipelines and services, partner closely with Product, Data Science, Legal, and infrastructure teams, and set the technical bar for how we use conversion data safely at scale.
What you'll do:
- Lead the technical strategy and architecture for conversion data privacy across access controls, deidentification, deletion, and privacy rules enforcement, driving toward a centralized, deidentifiedbydefault, automated privacy platform for monetization.
- Design and evolve core privacy infrastructure including controlled environments for sensitive data, finegrained authorization and policy enforcement, and a central policy repository that consistently governs access across major data platforms and query engines.
- Own deidentification pipelines for ads reporting endtoend-from separating sensitive and nonsensitive data, applying deidentification techniques and transformations, and generating privacypreserving datasets, to validating data utility and feeding reporting and analytics surfaces.
- Build and improve privacy frameworks and tooling (for both online and offline workflows) that make safe, compliant conversion data usage simple and selfservice for downstream teams, reducing onboarding friction for new datasets, restrictions, and use cases.
- Drive operational excellence and compliance by defining SLAs, building robust monitoring and alerting (e.g., deidentification quality, optout metrics, data leakages), leading incident response, and developing performant deletion and leakagehandling workflows that meet regulatory and audit requirements.
- Partner crossfunctionally with ads, data, product, legal, and infrastructure stakeholders to translate legal/privacy requirements into technical designs, make clear tradeoffs between privacy and utility, and drive alignment on roadmaps, launches, and policy changes that impact advertisers and users.
- Mentor and uplevel engineers across multiple teams, lead critical design and code reviews in privacysensitive areas, and establish best practices and documentation for privacybydesign, deidentification, and largescale data systems.
What we're looking for:
- BS+ in Computer Science (or related field) or equivalent practical experience.
- 8+ years of professional software engineering experience, with a focus on largescale data systems or distributed systems.
- Strong proficiency building and operating data pipelines and services using Java/Scala/Kotlin or Python, plus SQL; experience with modern big data ecosystems is a plus.
- Experience designing secure, reliable systems and APIs, with solid grounding in data modeling, access control, and performance optimization.
- Meaningful experience in at least one of: privacypreserving data systems (e.g., deidentification, kanonymity), ads measurement/attribution, or largescale analytics/experimentation platforms.
- Proven ability to drive crossteam technical initiatives from design through rollout, working closely with product, data science, and nonengineering partners (e.g., Legal, Compliance).
- Strong communication and leadership skills, with a track record of mentoring engineers, raising engineering standards, and making sound decisions in ambiguous, highimpact problem spaces.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
#LI-REMOTE
#LI-KK6
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$177,185—$364,795 USDOur Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please completethis formfor support.
We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth.
Find your future with us.787 Airframe in Boeing Commercial Airplanes is hiring for a Senior (Level 5) Structural Analysis Engineer for our Wing, Wing Edges, Empennage, Systems Stress, or Interiors Stress teams to work at our North Charleston, SC location.
At Boeing, our engineers share a passion to redefine what's possible.
To turn dreams into reality.
To bring cutting edge technology to market.
If you are seeking a dynamic, innovative environment, this opportunity is for you! This is a great opportunity to work in the Commercial Airplanes South Carolina Design Center, as a Structural Analysis Engineer.
Primary Responsibilities:Plans and organizes structural analysis work at the program level to assure total compliance with structural integrity and stability requirements.Develops, integrates and documents complex or unique structural requirements to establish the system design.Coordinates with other engineering groups to establish the product's environment.Guides product design and verifies structural integrity by defining requirements for development of analytical methods, finite element models/simulations and other analysis tools to develop the structural environment, characteristics and performance of the product.Works with customers and regulatory agencies to define certification processes that will ensure requirements are met.Reviews and approves certification results.Develops test plans and configurations, supports test execution and analyzes/reports test results to validate and verify systems and components meet requirements and specifications.Defines and organizes test programs to substantiate for customers and regulatory agencies that requirements are satisfied.Develops analytical processes/tools to improve effectiveness, quality and efficiency of the development effort.Investigates emerging technologies to develop future product designs to meet projected requirements.Works under consultative direction.This position is expected to be 100% onsite.The selected candidate will be required to work onsite at the North Charleston, SC location.Basic Qualifications (Required Skills/ Experience):Bachelor of Science degree in Engineering (with a focus on Mechanical, Civil, Aerospace Aeronautical or Material Sciences)12+ years of experience in the structural or aerospace industry9+ years of experience performing structural analysis on metallic structures9+ years of experience performing structural analysis on composite material systems (if seeking to work in the Wing, Wing Edges, or Empennage team)9+ years of experience working on primary aircraft structures or airplane systems secondary structures or interiors secondary structures3+ years of experience collaborating and performing oversight on projects with international partners/suppliers3+ years of experience supporting test development and executionAbility to assist, advice, and check classical hand analysis methodsAbility to perform FEA and understand/utilize/validate resultsPrior experience with aircraft, heavy structures, hardware systems or interiors manufacturing/production systems Preferred Qualifications (Desired Skills/Experience):12+ years of related work experience or an equivalent combination of education and experience5+ years of experience planning, organizing, and executing program level structural analysis3+ years of experience developing, integrating, and documenting complex or unique structural requirements3+ years of Experience with program level cross-functional integration3+ years of experience working with customer and regulatory agencies to define certification strategy that will ensure requirements are metCurrent or prior DER/AR/E-UMExperience leading or performing structural analysis for a full lifecycle of a structureConflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment processDrug Free Workplace:Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.Shift:This role is for 1st shift, however, there may be additional shift requirements to support program objectivesPay Range Summary:At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.Please note that the salary information shown below is a general guideline only.Pay is based upon candidate experience and qualifications, as well as market and business considerations.Summary pay range for Senior (Level 5): $154,700 – $209,300Applications for this position will be accepted until Apr.
16, 2026Export Control Requirements: This position must meet U.S.
export control compliance requirements.
To meet U.S.
export control compliance requirements, a "U.S.
Person" as defined by 22 C.F.R.
§120.62 is required."U.S.
Person" includes U.S.
Citizen, U.S.
National, lawful permanent resident, refugee, or asylee.Export Control Details: US based job, US Person requiredEducation Bachelor's Degree or Equivalent RequiredRelocation This position offers relocation based on candidate eligibility.Visa Sponsorship Employer will not sponsor applicants for employment visa status.Shift This position is for 1st shiftEqual Opportunity Employer:Boeing is an Equal Opportunity Employer.
Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
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.
Overview
We are seeking a seasoned Analytics leader to build and lead our enterprise Analytics and Data Governance function in a modern group purchasing / procurement environment. This leader will turn our rich ecosystem of member, supplier, contract, and transaction data into a strategic asset that drives savings, compliance, growth, and differentiated insight for our members and suppliers.
This leader will also own the data governance operating model, enterprise metrics, and analytics roadmap that power member-facing insights, internal performance management, and AI use cases across the technology platform (Website, B2B eCommerce, supplier portal, sourcing tools, and partner integrations).
Key responsibilities
Data governance and policy
- Define and run the enterprise data governance framework covering member, supplier, contract, item, and transaction data domains.
- Establish data ownership and stewardship across functions (Category Management, Supplier Management, Finance, Sales, Marketing, Digital) driving clear accountabilities for data quality and definitions.
- Implement policies for responsible use of data in supplier programs, member reporting, and AI/ML models, ensuring compliance with contractual, regulatory, and privacy requirements.
- Drive data quality management (profiling, remediation, SLAs) for critical assets such as contract price files, item catalogs, rebate/accrual data, and member hierarchies.
- Oversee metadata, business glossary, and data lineage so teams can confidently understand "one source of truth" for core GPO metrics (e.g., committed vs. actual spend, penetration, compliance, savings delivered).
Analytics strategy and delivery
- Define the enterprise analytics vision and roadmap aligned to procurement value levers: spend visibility, category performance, contract compliance, leakage detection, rebate optimization, and supplier performance.
- Lead the design and delivery of standardized KPI suites and dashboards for executives, category teams, supplier partners, and member account teams (e.g., savings scorecards, compliance heatmaps, portfolio optimization).
- Partner with Product and Engineering to ensure the data platform (warehouse, semantic layer, BI tools) can support self-service analytics, embedded insights in member/supplier portals, and AI-driven use cases.
- Champion enterprise metrics and advanced analytics capabilities such as, forecasting, benchmarking, opportunity sizing, and integrity analytics, ensuring models are traceable, governed, and auditable.
- Translate business needs into clear data products (curated data sets, subject-area marts, APIs) that serve both internal teams and external-facing solutions.
Stakeholder leadership and collaboration
- Serve as the enterprise "single point of accountability" for data and analytics, aligning priorities across Technology, Category Management, Supplier Relations, Sales, Finance, and Operations.
- Partner with Supplier and Member-facing teams to co-create analytics offerings that differentiate the GPO (e.g., supplier growth playbooks, member CFO dashboards, public-sector transparency packs).
- Educate executives and business leaders on data literacy, standard metrics, and how to use insights in planning, negotiations, and supplier programs.
- Collaborate closely with Security, Legal, and Compliance to ensure that member and supplier data is used ethically and in line with contracts and regulations.
Team building and operations
- Build and lead a high-performing team of data analysts, analytics engineers, data governance managers, and data stewards.
- Define operating rhythms (data council, data domain forums, metric review cadences) that keep governance and analytics tightly connected to business outcomes.
- Establish and track KPIs for the data function itself (data quality scores, adoption of governed datasets, BI usage, time-to-insight).
- Select and manage key tools and vendors in the analytics and governance ecosystem (warehouse, BI, catalog/governance, quality monitoring).
Qualifications
- Bachelor's or Master's degree in Data/Computer Science, Information Systems, Analytics, Statistics, Business, or related field.
- 10+ years of experience in analytics, data governance, or enterprise data management, including 3–5+ years leading teams.
- Proven experience in a procurement, supply chain, GPO, distribution, or B2B marketplace environment strongly preferred.
- Demonstrated success implementing data governance frameworks and delivering analytics that directly influenced commercial or procurement outcomes (e.g., savings, compliance, supplier growth).
- Hands-on familiarity with modern data platforms (e.g., Snowflake/BigQuery/Redshift, dbt, Power BI/Tableau/Looker, and one or more data catalog/governance tools).
- Strong grasp of regulatory / contractual considerations relevant to member and supplier data (data sharing agreements, use of benchmarking, privacy/security standards).
- Excellent leadership, storytelling, and stakeholder management skills; able to influence at C-suite and board levels.
Attributes for success
- Business-first mindset: instinctively ties data work to member value, supplier value, and financial impact.
- Pragmatic operator: balances governance rigor with speed, enabling innovation rather than blocking it.
- Skilled translator: can convert complex data and AI topics into clear narratives for executives, sales, and category leaders.
- Culture builder: passionate about creating a data-driven culture that values standard definitions, trusted data, and measurable outcomes.
Compensation:
$150,000 to $200,000 per year annual salary.
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role include: Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law.
**Seeking a Data Quality Control Specialist in Las Vegas, NV**
Pay: $28- 35 / hr
Schedule: Full time, onsite, 40 hrs a week
Las Vegas, NV | On-site
Seeking a detail-driven Data Quality Control Specialist to support the accuracy, integrity, and compliance of clinical trial documentation across multiple studies. This role is ideal for an experienced clinical research professional who thrives in data review, quality oversight, and audit readiness.
What You’ll Do:
- Coordinate and oversee clinical data across various phases of clinical trials, ensuring accuracy and completeness
- Perform quality control (QC) reviews of source documents, medical records, eSource, and essential trial documentation
- Identify and communicate data discrepancies, protocol deviations, and documentation issues to PIs and Study Coordinators
- Collaborate with clinical teams to ensure adherence to SOPs, Good Documentation Practices (GDP), and GCP guidelines
- Support audit and inspection readiness, including internal QC efforts and inspection prep
- Monitor key data quality KPIs and assist in driving continuous quality improvement initiatives
- Partner cross-functionally to uphold data integrity, regulatory compliance, and site quality standards
What We’re Looking For:
- Bachelor’s degree in Clinical Research, Health Sciences, or related field (or equivalent experience)
- 3+ years of experience in clinical research, data management, QA/QC, or a related role
- Strong understanding of GCP, GDP, and regulatory requirements
- Experience reviewing clinical research documentation (source, CRFs/eCRFs, medical records)
- Familiarity with eSource platforms (CRIO strongly preferred)
- Detail-oriented, organized, and process-driven with strong communication skills
- Comfortable collaborating with coordinators, investigators, and cross-functional teams
Nice to Have:
- Site-level clinical research experience (CRC, Senior CRC, Data or Regulatory focused roles)
- Audit or inspection preparation experience
- Passion for data integrity and clinical trial quality
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.
We are building a Business Operations Center of Excellence, and we need a Product Data Analyst to serve as the "Guardian of the Golden Record." In this role, you are the absolute owner of product data integrity as it relates to the digital customer experience. You ensure that every item we sell is accurately represented across every touchpoint—from our ERP and PIM to our website storefront and marketing feeds. This is not a data entry role; it is a high-impact technical logic and investigation role. You will work directly with our Data Platform and Software Engineering teams to define business rules, audit data health via complex SQL, and troubleshoot data transmission errors before they impact the customer.
Responsibilities
- Storefront Governance: Serve as the absolute owner of product data integrity within the PIM. Ensure that all storefront-critical attributes (pricing, dimensions, weights, image links) are accurate and standardized for a seamless customer experience.
- Technical Data Auditing: Write and run complex SQL queries against our centralized database to identify anomalies, "orphan" records, and data hygiene issues that need resolution. You will be expected to query across multiple schemas to validate data consistency between systems.
- Feed Logic & Mapping: You will manage the logic of how data translates from our PIM to external endpoints. You will ensure that our products appear correctly on Google Shopping, Meta, Amazon, and other marketplaces by managing feed rules and mapping definitions.
- API Payload Analysis: You will act as the first line of defense for data transmission errors. If a product isn't showing up on the site, you will review the JSON/XML response bodies to determine if it is a data payload error or a software code bug.
- Cross-Functional Impact Analysis: You will act as the gatekeeper for data changes, predicting downstream impacts (e.g., "If Merchandising changes this Category Name, it will break the Finance reporting filter").
- Hygiene Logic Definition: You will partner with our IT/Database team to define automated health checks. You identify the "rot" (bad data patterns), and they implement the database constraints to stop it.
What You Will NOT Do (The Boundaries)
- No Web Development: You are not a Front-End Developer. You do not write HTML, CSS, or React code. You ensure the data powering those components is 100% accurate.
- No Manual Data Entry: Your job is not to copy-paste descriptions. You build the systems, bulk processes, and logic that ensure data quality at scale.
- No Database Administration: You do not manage server uptime or schema changes (IT owns this). You own the quality of the records inside the database.
Intersection with Technical Teams
- With IT (Database Mgmt): IT owns the infrastructure and schema; you own the quality of the data within it. When you identify a systemic issue (e.g., "5,000 orphan records"), you partner with IT to implement the technical fix (scripts/constraints).
- With Software Engineering (Commerce): If a product is missing from the site, you check the data payload. If the data is correct, you hand off to Engineering, confirming it is a code/caching bug rather than a data error.
Experience, Skills, & Ability Requirements
- 5-8 years of experience in Data Management, PIM Administration, or technical eCommerce Operations.
- SQL Proficiency: You are comfortable writing queries beyond simple SELECT *. You should be proficient with CTEs (Common Table Expressions), Window Functions (e.g., Rank, Lead/Lag), Subqueries, and complex Joins to act as a forensic data investigator.
- API Fluency: You can read and understand JSON and XML. You know what a valid payload looks like and can spot formatting errors or missing keys.
- Data Manipulation: You are an expert at handling large datasets (CSVs, Excel) and understand data types, formatting standards, and normalization concepts.
- You love hunting down the root cause of an error. You don't just fix the wrong price; you find out why the price was wrong and build a rule to stop it from happening again.
- You have high standards for accuracy. You understand that a wrong weight in the system means a financial loss on shipping for the business.
Bonus Points (Nice-to-Haves)
- Familiarity with Visio/Lucidchart to visualize data flows.
- Ability to build simple dashboards in Tableau to track data health scores.
- Basic familiarity with Python or R for 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.
For over 95 years, we have cared for our employees and customers, which is why we rank as the 19th largest privately-owned builder in the country and have a history of long-tenured employees.
We are proud to be named a U.S.
Best Managed Company in 2022, 2023, 2024, and 2025, a program sponsored by Deloitte Private and The Wall Street Journal, and to be officially certified as a Great Place to Work for the last three years.
Enrich your career at a company that values integrity, excellence, opportunity, stability, and success.
?? Headquartered in Fort Mitchell, Kentucky, Drees operates in twelve metropolitan areas: Greater Cincinnati (including Northern Kentucky), Cleveland, and Columbus, Ohio; Austin, Dallas, Houston, and San Antonio, Texas; Indianapolis, Indiana; Jacksonville, Florida; Nashville, Tennessee; Raleigh, North Carolina; and Washington, D.C.
Responsibilities Drees Homes is seeking a detail-oriented and analytical Business Analyst
- Data & Analytics to become a valued member of our team.
This role is ideal for someone passionate about transforming data into actionable insights that drive strategic decisions.
The ideal candidate will have strong technical skills in SQL, Power BI, and ETL processes, along with the ability to communicate findings clearly and collaborate across departments.
You will play a key role in shaping data-driven strategies by developing reports, dashboards, and documentation that support business goals.
?? Key Responsibilities: Data Analysis: Analyze complex datasets to uncover trends, patterns, and actionable insights.
SQL Development: Write and optimize SQL queries to extract, transform, and manipulate data from various databases.
Power BI Reporting: Design, develop, and maintain interactive dashboards and visual reports using Power BI.
Report Requirements Gathering: Collaborate with stakeholders to gather and document detailed reporting requirements.
ETL Processes: Design, implement, and manage ETL workflows to ensure data accuracy, consistency, and availability.
API Connections: Integrate and manage data from external systems using API connections to enhance data accessibility and automation.
Documentation: Create and maintain comprehensive documentation for data processes, methodologies, and analytical findings.
Cross-functional Collaboration: Work closely with business units to understand data needs and provide analytical support.
Ad-hoc and Scheduled Reporting: Generate regular and on-demand reports to support business decision-making.
Required Skills: Bachelor???s degree in Data Science, Computer Science, Statistics, or a related field.
Proven experience as a Data Analyst or in a similar analytical role.
Proficiency in SQL and Power BI.
Strong understanding of ETL processes and data warehousing concepts.
Knowledgeable in database systems including Oracle, AWS, and Azure.
Excellent analytical, problem-solving, and documentation skills.
Strong communication skills and the ability to work collaboratively in a team environment.
MUST be eligible to work in the US without sponsorship.
?? Premier Benefits to Support YOU -?? We offer a comprehensive benefits package, including: Medical, dental and vision Life, AD&D, and critical illness insurance Wellness rewards 401(k) savings plan Profit Sharing Paid time off increasing with tenure Tuition reimbursement Long and short disability and Parental leave Employee discount program on the purchase of a Drees Home Employee Assistance Program and much more! ?? Join a special team that works together to make Drees a successful company and a rewarding place to work! ?? ?? ?? Qualifications Equal Opportunity Employer / Drug-Free Work Place ?? To learn more about Drees Homes, please visit our website
- PI283053773
OZ – Databricks Architect/ Senior Data Engineer
Note: Only applications from U.S. citizens or lawful permanent residents (Green Card Holders) will be considered.
We believe work should be innately rewarding and a team-building venture. Working with our teammates and clients should be an enjoyable journey where we can learn, grow as professionals, and achieve amazing results. Our core values revolve around this philosophy. We are relentlessly committed to helping our clients achieve their business goals, leapfrog the competition, and become leaders in their industry. What drives us forward is the culture of creativity combined with a disciplined approach, passion for learning & innovation, and a ‘can-do’ attitude!
What We're Looking For:
We are seeking a highly experienced Databricks professional with deep expertise in data engineering, distributed computing, and cloud-based data platforms. The ideal candidate is both an architect and a hands-on engineer who can design scalable data solutions while actively contributing to development, optimization, and deployment.
This role requires strong technical leadership, a deep understanding of modern data architectures, and the ability to implement best practices in DataOps, performance optimization, and data governance.
Experience with modern AI/GenAI-enabled data platforms and real-time data processing environments is highly desirable.
Position Overview:
The Databricks Senior Data Engineer will play a critical role in designing, implementing, and optimizing enterprise-scale data platforms using the Databricks Lakehouse architecture. This role combines architecture leadership with hands-on engineering, focusing on building scalable, secure, and high-performance data pipelines and platforms. The ideal candidate will establish coding standards, define data architecture frameworks such as the Medallion Architecture, and guide the end-to-end development lifecycle of modern data solutions.
This individual will collaborate with cross-functional stakeholders, including data engineers, BI developers, analysts, and business leaders, to deliver robust data platforms that enable advanced analytics, reporting, and AI-driven decision-making.
Key Responsibilities:
- Architecture & Design: Architect and design scalable, reliable data platforms and complex ETL/ELT and streaming workflows for the Databricks Lakehouse Platform (Delta Lake, Spark).
- Hands-On Development: Write, test, and optimize code in Python, PySpark, and SQL for data ingestion, transformation, and processing.
- DataOps & Automation: Implement CI/CD, monitoring, and automation (e.g., with Azure DevOps, DBX) for data pipelines.
- Stakeholder Collaboration: Work with BI developers, analysts, and business users to define requirements and deliver data-driven solutions.
- Performance Optimization: Tune delta tables, Spark jobs, and SQL queries for maximum efficiency and scalability.
- GenAI Applications Development: It is a big plus to have experience in GenAI application development
Requirements:
- 8+ years of experience in data engineering, with strong hands-on expertise in Databricks and Apache Spark.
- Proven experience designing and implementing scalable ETL/ELT pipelines in cloud environments.
- Strong programming skills in Python and SQL; experience with PySpark required.
- Hands-on experience with Databricks Lakehouse, Delta Lake, and distributed data processing.
- Experience working with cloud platforms such as Microsoft Azure, AWS, or GCP (Azure preferred).
- Experience with CI/CD pipelines, Git, and DevOps practices for data engineering.
- Strong understanding of data architecture, data modeling, and performance optimization.
- Experience working with cross-functional teams to deliver enterprise data solutions.
- Tackles complex data challenges, ensuring data quality and reliable delivery.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- Experience designing enterprise-scale data platforms and modern data architectures.
- Experience with data integration tools such as Azure Data Factory or similar platforms.
- Familiarity with cloud data warehouses such as Databricks, Snowflake, or Azure Fabric.
- Experience supporting analytics, reporting, or AI/ML workloads is highly desirable.
- Databricks, Azure, or cloud certifications are preferred.
- Strong problem-solving, communication, and technical leadership skills.
Technical Proficiency in:
- Databricks, Apache Spark, PySpark, Delta Lake
- Python, SQL, Scala (preferred)
- Cloud platforms: Azure (preferred), AWS, or GCP
- Azure Data Factory, Kafka, and modern data integration tools
- Data warehousing: Databricks, Snowflake, or Azure Fabric
- DevOps tools: Git, Azure DevOps, CI/CD pipelines
- Data architecture, ETL/ELT design, and performance optimization
What You’re Looking For:
Join a fast-growing organization that thrives on innovation and collaboration. You’ll work alongside talented, motivated colleagues in a global environment, helping clients solve their most critical business challenges. At OZ, your contributions matter – you’ll have the chance to be a key player in our growth and success. If you’re driven, bold, and eager to push boundaries, we invite you to join a company where you can truly make a difference.
About Us:
OZ is a 28-year-old global technology consulting, services, and solutions leader specializing in creating business-focused solutions for our clients by leveraging disruptive digital technologies and innovation.
OZ is committed to creating a continuum between work and life by allowing people to work remotely. We offer competitive compensation and a comprehensive benefits package. You’ll enjoy our work style within an incredible culture. We’ll give you the tools you need to succeed so you can grow and develop with us and become part of a team that lives by its core values.
