Mid Level Product Data Specialist Jobs
Mid level product data specialist jobs go to professionals ready to own data pipelines and product taxonomies end to end, mentor junior teammates, and drive data-driven decisions with limited oversight. Openings are concentrated across Technology & Software, Consulting & Professional Services, and Investment & Asset Management, with a mix of on-site, remote, and hybrid settings, and employers like Amazon, Capital One, and Deloitte hiring at this level now.
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For over twenty-seven years RCR Technology Corporation has delivered the highest quality services to our clients with an expansive portfolio of industry-relevant services, and deep technical capabilities around data management and application development.
We are seeking a Data Analyst to support data-driven initiatives across state healthcare programs, including Medicaid and Human Services. This role partners with business and technical teams to analyze data, ensure data quality, and deliver actionable insights that support critical program outcomes.
Key Responsibilities
- Design, develop, test, maintain, and enhance analytic reports and dashboards using Cognos and Tableau.
- Build ad hoc reports and perform data analysis based on evolving client needs and business questions.
- Develop complex reports, including sub-reports, visual reports, and well-formatted deliverables that meet user requirements and present data in a clear, compelling manner.
- Create, enhance, and maintain business analytics models, including relational and DMR models, packages, and reporting structures used for report development.
- Work with business users and technical teams to mock up reports and dashboards, refine requirements, and identify the most effective way to present data to customers.
- Collaborate with business analysts, data engineers, managers, and other team members to design and deliver customer-specific reporting solutions.
- Recommend additional insights, report enhancements, and data improvements based on client needs and analysis findings.
- Support the operational stability of the reporting environment by monitoring, auditing, validating, and troubleshooting reporting objects to ensure accuracy, integrity, and timely delivery.
- Validate report results against data warehouse sources throughout the development process to ensure data quality and consistency.
- Support testing activities, including UAT, validation cycles, and production readiness reviews.
- Communicate findings, report outputs, and analytical insights clearly to both technical and non-technical stakeholders.
- Work within a project team environment, taking direction from project managers and technical leaders while managing assigned work to completion.
Required Qualifications
-
Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field, or equivalent experience.
-
4+ years of production-level experience working with data and business intelligence tools, including IBM Cognos Analytics and Tableau. Experience working with Cognos Cubes, including cube-based reporting and analysis.
-
2+ years of data warehouse analysis experience, including the ability to read data flow diagrams and conceptual and physical data models.
-
4+ years of experience writing SQL for reporting, analysis, and report customization.
-
4+ years of experience with Medicaid, healthcare, or government programs.
-
4+ years of experience working in Agile environments or client-facing roles.
-
Strong attention to detail with the ability to work with complex data sets and ensure data accuracy.
-
Excellent written and verbal communication skills.
Preferred Qualifications
-
Proficiency in Python, including Pandas or similar libraries, and Excel.
-
Knowledge of data cleaning, formatting, and transformation techniques.
-
Understanding of basic statistics and analytical problem-solving methods.
For over twenty-seven years RCR Technology Corporation has delivered the highest quality services to our clients with an expansive portfolio of industry-relevant services, and deep technical capabilities around data management and application development.
We are seeking a Data Analyst to support data-driven initiatives across state healthcare programs, including Medicaid and Human Services. This role partners with business and technical teams to analyze data, ensure data quality, and deliver actionable insights that support critical program outcomes.
Key Responsibilities
- Design, develop, test, maintain, and enhance analytic reports and dashboards using Cognos and Tableau.
- Build ad hoc reports and perform data analysis based on evolving client needs and business questions.
- Develop complex reports, including sub-reports, visual reports, and well-formatted deliverables that meet user requirements and present data in a clear, compelling manner.
- Create, enhance, and maintain business analytics models, including relational and DMR models, packages, and reporting structures used for report development.
- Work with business users and technical teams to mock up reports and dashboards, refine requirements, and identify the most effective way to present data to customers.
- Collaborate with business analysts, data engineers, managers, and other team members to design and deliver customer-specific reporting solutions.
- Recommend additional insights, report enhancements, and data improvements based on client needs and analysis findings.
- Support the operational stability of the reporting environment by monitoring, auditing, validating, and troubleshooting reporting objects to ensure accuracy, integrity, and timely delivery.
- Validate report results against data warehouse sources throughout the development process to ensure data quality and consistency.
- Support testing activities, including UAT, validation cycles, and production readiness reviews.
- Communicate findings, report outputs, and analytical insights clearly to both technical and non-technical stakeholders.
- Work within a project team environment, taking direction from project managers and technical leaders while managing assigned work to completion.
Required Qualifications
-
Bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field, or equivalent experience.
-
4+ years of production-level experience working with data and business intelligence tools, including IBM Cognos Analytics and Tableau. Experience working with Cognos Cubes, including cube-based reporting and analysis.
-
2+ years of data warehouse analysis experience, including the ability to read data flow diagrams and conceptual and physical data models.
-
4+ years of experience writing SQL for reporting, analysis, and report customization.
-
4+ years of experience with Medicaid, healthcare, or government programs.
-
4+ years of experience working in Agile environments or client-facing roles.
-
Strong attention to detail with the ability to work with complex data sets and ensure data accuracy.
-
Excellent written and verbal communication skills.
Preferred Qualifications
-
Proficiency in Python, including Pandas or similar libraries, and Excel.
-
Knowledge of data cleaning, formatting, and transformation techniques.
-
Understanding of basic statistics and analytical problem-solving methods.
See All 1,015+ Mid Level Product Data Specialist Jobs
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Find JobsMid Level Product Data Specialist Job Market
Who's Hiring
- Amazon86
- Capital One25
- Deloitte23
- JPMorganChase21
- Turner & Townsend Pty Limited18
Top Industries Hiring
- Technology & Software328
- Consulting & Professional Services136
- Investment & Asset Management69
- Banking & Financial Services47
- Retail43
Mid Level Product Data Specialist Jobs: Frequently Asked Questions
How do I get a mid level product data specialist job?
Position your existing experience around ownership and impact rather than task completion. Highlight projects where you managed a data set, taxonomy, or product attribute workflow from start to finish, and quantify results where possible. Tailor your resume to show familiarity with SQL, product information management tools, and cross-functional collaboration. Applying to roles that explicitly list three or more years of relevant experience is a reliable signal you are in the right target band.
Which companies hire mid level product data specialists?
Companies hiring mid level product data specialists right now include Amazon, Capital One, and Deloitte, based on current listings on Migrate Mate as of November 2026. Retailers, e-commerce platforms, and technology companies with large product catalogs tend to hire most actively at this level, as they need specialists who can manage data quality and governance without close supervision.
Are there remote mid level product data specialist jobs?
Yes, remote and hybrid options are common at this experience level. About 37% of mid level product data specialist openings are remote or hybrid as of November 2026, reflecting the digital nature of the work. Catalog management, data enrichment, and product taxonomy tasks translate well to distributed teams, making this one of the more flexible roles within product and data operations.
How do I move up to a mid level product data specialist role?
Moving from entry level into a mid level product data specialist role comes down to deepening your technical skills, taking on broader ownership, and demonstrating measurable impact. Focus on mastering SQL and at least one product information management or data governance platform, volunteer to lead small projects or audits, and document the business outcomes your work produced. Employers look for candidates who have moved beyond executing tasks and started shaping how data is structured or maintained.
Which industries hire the most mid level product data specialists?
Mid Level product data specialist roles concentrate in Technology & Software, Consulting & Professional Services, and Investment & Asset Management, based on current listings on Migrate Mate as of November 2026. These sectors rely on accurate, well-structured product data to support operations, e-commerce performance, and customer experience, creating consistent demand for specialists who can own that work at scale.