Mid Level Data Management Associate Jobs
Mid level data management associate jobs go to professionals ready to own data pipelines end to end, mentor junior teammates, and make governance decisions with limited oversight. Roles run 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.
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Find JobsMid Level Data Management Associate 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 Data Management Associate Jobs: Frequently Asked Questions
How do I get a mid level data management associate job?
Position yourself around ownership, not just execution. Highlight projects where you led data quality initiatives, designed workflows, or resolved governance issues without close supervision. Tailor your resume to show measurable impact, such as reducing data errors or improving pipeline reliability. Demonstrating that you can work independently and hand off clean, well-documented work is what separates mid level candidates from junior ones.
Which companies hire mid level data management associates?
Companies hiring mid level data management associates right now include Amazon, Capital One, and Deloitte, based on current listings on Migrate Mate as of November 2026. At this level, hiring tends to come from organizations scaling their data operations, including large enterprises building governance frameworks and mid-size companies formalizing their data infrastructure for the first time.
Are there remote mid level data management associate jobs?
Yes, remote and hybrid options are common at this level. About 37% of mid level data management associate openings are remote or hybrid as of November 2026, reflecting how much of the work centers on tools, platforms, and documentation rather than physical presence. On-site roles do exist, particularly in regulated industries where data handling requires tighter access controls.
How do I move up to a mid level data management associate role?
The path from entry level to mid level is built through progressively larger ownership. Start by mastering the core tools in your stack, then volunteer for projects that require end-to-end responsibility rather than task completion. Focus on building a record of measurable improvements to data quality, lineage, or access processes. Peer mentoring and cross-functional collaboration signal readiness for the increased scope mid level roles require.
Which industries hire the most mid level data management associates?
Mid Level data management associate 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 drive hiring at this level because they handle large, complex datasets that require dedicated professionals to maintain accuracy, enforce governance standards, and support reporting across multiple business units.