Mid Level Client Data Analyst Jobs
Mid level client data analyst jobs go to analysts ready to own client-facing reporting projects end to end, translate complex datasets into decisions, and guide junior teammates without close supervision. Openings cover remote, hybrid, and on-site settings across Technology & Software, Consulting & Professional Services, and Investment & Asset Management, with employers like JPMorganChase, Deloitte, and Kestra Financial hiring at this level now.
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Showing 5 of 517+ Mid Level Client Data Analyst jobs
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
Primary Responsibilities of the EDW Business Intelligence/Data Analytics Developer:
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Developing complex business intelligence solutions and supporting data strategy leveraging acquired subject matter expertise to identify/inform opportunities/risks
-
Developing complex dashboards, scorecards, reports, and data analysis
-
Creating and maintaining a web-based portal using React
-
Improve the delivery and management of health and human services programs by utilizing advanced analytics, including but not limited to advanced algorithms, data visualizations, and maps
-
Developing and maintaining complex SQL queries and scripts to create data marts in Teradata and running ad hoc complex SQL/reports using claims, beneficiary, and provider data
-
Participating in project discussions to document and recommend alternative technical solutions or requirements
-
Participating in unit, integration, and system testing
-
Maintaining effective communication and relationships with all individuals involved with the project
-
Gathering business requirements and preparing analyses based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency in supporting projects and change requests
-
Performing peer reviews and providing technical support/guidance to the project team
-
Supporting the project manager and leadership in project planning and executing activities, including presentations, risks/issues, and status reporting
-
Demonstrating deliverables to the team or the customers for approvals and gaining buy-in to implement solutions or adapt to new products/services/programs
-
Working with the DBAs, data modelers, and application/system admins to support maintaining the Teradata and application server hardware and software (including patches, fixes, and upgrades) and leading industry-level standards or best practices.
BASIC QUALIFICATIONS
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More than five years of experience developing, implementing, and maintaining complex Tableau and MS Power BI dashboards, visualizations, and analytics
-
Proven strong development of high-performing SQL with more than five years of experience developing complex SQL scripts (Teradata/DB2/Oracle Load Utilities) or stored procedures
-
At least four years of experience of complex development using React (React.js or ReactJS)
-
Excellent verbal/written communication skills, end client-facing skills, team collaboration, and mentoring skills
-
Bachelors or Advanced Degree in a related field such as Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business Technology
-
Strong organization skills and ability to set priorities and schedule work deadlines
-
Adapting to and collaborating with the team and organizational culture
PREFERRED QUALIFICATIONS
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More than two years of experience analyzing and delivering complex analytics using Medicaid claims, and enrollment data
-
At least two years of data warehouse project experience
-
More than two years of Tableau Server Administrative experience
-
Experience in SAP Business Objects
-
Experience developing using Base SAS, SAS Analytics, SAS Enterprise Guide
-
Experience with State Medicaid / Medicare / Healthcare industry
INTRODUCTION
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.
ROLE AND RESPONSIBILITIES
Primary Responsibilities of the EDW Business Intelligence/Data Analytics Developer:
-
Developing complex business intelligence solutions and supporting data strategy leveraging acquired subject matter expertise to identify/inform opportunities/risks
-
Developing complex dashboards, scorecards, reports, and data analysis
-
Creating and maintaining a web-based portal using React
-
Improve the delivery and management of health and human services programs by utilizing advanced analytics, including but not limited to advanced algorithms, data visualizations, and maps
-
Developing and maintaining complex SQL queries and scripts to create data marts in Teradata and running ad hoc complex SQL/reports using claims, beneficiary, and provider data
-
Participating in project discussions to document and recommend alternative technical solutions or requirements
-
Participating in unit, integration, and system testing
-
Maintaining effective communication and relationships with all individuals involved with the project
-
Gathering business requirements and preparing analyses based on information from internal and external sources to evaluate and demonstrate program effectiveness and efficiency in supporting projects and change requests
-
Performing peer reviews and providing technical support/guidance to the project team
-
Supporting the project manager and leadership in project planning and executing activities, including presentations, risks/issues, and status reporting
-
Demonstrating deliverables to the team or the customers for approvals and gaining buy-in to implement solutions or adapt to new products/services/programs
-
Working with the DBAs, data modelers, and application/system admins to support maintaining the Teradata and application server hardware and software (including patches, fixes, and upgrades) and leading industry-level standards or best practices.
BASIC QUALIFICATIONS
-
More than five years of experience developing, implementing, and maintaining complex Tableau and MS Power BI dashboards, visualizations, and analytics
-
Proven strong development of high-performing SQL with more than five years of experience developing complex SQL scripts (Teradata/DB2/Oracle Load Utilities) or stored procedures
-
At least four years of experience of complex development using React (React.js or ReactJS)
-
Excellent verbal/written communication skills, end client-facing skills, team collaboration, and mentoring skills
-
Bachelors or Advanced Degree in a related field such as Information Technology/Computer Science, Mathematics/Statistics, Analytics, Business Technology
-
Strong organization skills and ability to set priorities and schedule work deadlines
-
Adapting to and collaborating with the team and organizational culture
PREFERRED QUALIFICATIONS
-
More than two years of experience analyzing and delivering complex analytics using Medicaid claims, and enrollment data
-
At least two years of data warehouse project experience
-
More than two years of Tableau Server Administrative experience
-
Experience in SAP Business Objects
-
Experience developing using Base SAS, SAS Analytics, SAS Enterprise Guide
-
Experience with State Medicaid / Medicare / Healthcare industry
See All 517+ Mid Level Client Data Analyst Jobs
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Find JobsMid Level Client Data Analyst Job Market
Who's Hiring
- JPMorganChase26
- Deloitte24
- Kestra Financial17
- TikTok16
- Capital One11
Top Industries Hiring
- Technology & Software143
- Consulting & Professional Services55
- Investment & Asset Management51
- Banking & Financial Services45
- Accounting & Auditing34
Mid Level Client Data Analyst Jobs: Frequently Asked Questions
How do I get a mid level client data analyst job?
Position your existing experience around ownership and outcomes, not just task completion. Highlight projects where you managed a client relationship, delivered a recurring analysis independently, or identified an insight that drove a business decision. Applications that show you can work with minimal oversight and communicate findings directly to stakeholders stand out at this level. A strong portfolio of client-facing deliverables carries more weight than credentials alone.
Which companies hire mid level client data analysts?
Companies hiring mid level client data analysts right now include JPMorganChase, Deloitte, and Kestra Financial, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from mid-size to enterprise organizations that run dedicated client success or analytics functions and need analysts who can own a book of clients independently.
Are there remote mid level client data analyst jobs?
Yes, though availability varies by employer and industry. About 35% of mid level client data analyst openings are remote or hybrid as of November 2026, reflecting strong demand for analysts who can collaborate and present findings to clients without being on-site. Roles requiring regular client visits or executive presentations are more likely to have an in-person or hybrid requirement.
How do I move up to a mid level client data analyst role?
The path from entry level to mid level comes from deepening both technical skills and client ownership over time. Early-career analysts grow into mid level by moving from supporting others' analyses to driving their own, taking on recurring client accounts, and demonstrating measurable impact in their reporting. Building fluency with SQL, visualization tools, and client communication, then actively seeking projects with higher stakes and less oversight, accelerates that progression.
Which industries hire the most mid level client data analysts?
Mid Level client data analyst 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 manage large client portfolios with complex data needs, creating consistent demand for analysts who can translate performance data into actionable guidance for client teams.