Mid Level Data Support Specialist Jobs
Mid level data support specialist jobs go to professionals ready to own data workflows end to end, troubleshoot complex issues independently, and guide junior teammates through escalations. Openings are spread across on-site, remote, and hybrid settings in Technology & Software, Consulting & Professional Services, and Investment & Asset Management, with 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 Data Support Specialist Jobs
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Find JobsMid Level Data Support 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 Data Support Specialist Jobs: Frequently Asked Questions
How do I get a mid level data support specialist job?
Position yourself by highlighting hands-on ownership of data systems, processes, or support queues you've run with minimal oversight. Emphasize concrete outcomes: data accuracy improvements, reduced ticket resolution times, or process changes you led. Tailor your resume to show that you can handle complex issues independently, not just execute assigned tasks, and demonstrate familiarity with the tools and reporting frameworks the employer uses.
Which companies hire mid level data support specialists?
Companies hiring mid level data support specialists right now include Amazon, Capital One, and Deloitte, based on current listings on Migrate Mate as of November 2026. At this experience level, hiring tends to come from organizations with established data operations that need specialists who can maintain quality and reliability without heavy supervision.
Are there remote mid level data support specialist jobs?
Yes, remote and hybrid options are widely available at this experience level. About 37% of mid level data support specialist openings are remote or hybrid as of November 2026, reflecting employer confidence that professionals with a few years of experience can deliver strong results outside the office. Filtering by work setting on Migrate Mate lets you find openings that match your preference.
How do I move up to a mid level data support specialist role?
Moving into a mid level data support specialist role comes from deliberately building deeper skills over your first few years. Focus on owning complete support processes rather than handling isolated tickets, gaining proficiency in SQL, data validation, or the platforms your industry relies on, and demonstrating measurable impact like reduced error rates or improved data quality. Taking initiative on cross-functional projects or process improvements signals readiness for mid level responsibility.
Which industries hire the most mid level data support specialists?
Mid Level data support 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 tend to drive hiring because they manage high volumes of data that require dedicated specialists who can sustain accuracy, resolve issues quickly, and support the teams that depend on clean, reliable information.