AssistRx
Information Technology and Services
DataAnalystBIArchitecture,ClientFacingExperienceMust
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Analyst BI Architecture, Client Facing Experience Must at AssistRx. Skills: BI Architecture, Client Facing, Requirements gathering, Data analysis. Partner with business stakeholders. Gather reporting requirements”
Industry & Context.
Problem-solving; Analytical; Investigate data discrepancies; Investigate reporting defects; Resolve issues
What They're Looking For.
Must Have
Bachelor's degree or equivalent experience, 3+ years of experience, Understanding of BI delivery processes, Experience working with BI tools, Experience with data warehouses, Ability to read and write SQL, Understanding of ETL/ELT concepts, Experience creating user stories, Communication skills, Analytical skills, Problem-solving skills, Organizational skills, Attention to detail, Accuracy
Nice to Have
Agile delivery tools experience preferred, Healthcare domain experience preferred, Pharmacy domain experience preferred, Patient services domain experience preferred, Specialty pharmacy domain experience preferred, Hub services domain experience preferred, Payer/insurance domain experience preferred, Life sciences domain experience preferred, Pharmaceutical domain experience preferred, Regulated operational reporting experience preferred
What You'll Do.
Partner with business stakeholders
Gather reporting requirements
Clarify reporting requirements
Document reporting requirements
Translate business needs
Understand where data resides
Analyze ETL/ELT processes
Analyze transformations
Document source-to-target mappings
Document business rules
Document metric definitions
Document filter logic
Document report logic
Document reporting assumptions
Create acceptance criteria
Create supporting documentation
Support backlog refinement
Support sprint planning
Support release coordination
Validate reporting outputs
Investigate data discrepancies
Investigate reporting defects
Support standardization of BI requirements
Support standardization of documentation practices
Support standardization of reusable reporting patterns
Support standardization of intake processes
Assist with user acceptance testing
Assist with production validation
Communicate technical concepts
Communicate business context
Identify opportunities to improve reporting processes
Identify opportunities to improve data usability
Identify opportunities to improve development handoffs
Identify opportunities to improve operational efficiency
How You'll Work.
Team & Collaboration
Partner with BI Developers; Partner with BI Architects; Partner with Data Architects; Partner with Data Engineers; Work with business stakeholders; Work with technical teams; Coordinate across BI teams; Coordinate across data architecture teams; Coordinate across data engineering teams; Coordinate across business teams; Cross-functional collaboration
Communication Scope
Client facing; Business communication; Technical communication
Process & Methodology
Agile delivery, Sprint planning, Backlog refinement, Release coordination
Full Job Description
**SUMMARY: The Data Analyst is responsible for supporting business intelligence and analytics delivery by partnering with BI Developers, BI Architects, Data Architects, Data Engineers, and business stakeholders to translate business needs into clear, development-ready requirements.** This role supports the delivery of reporting and analytics solutions by understanding where data resides, how it moves through ETL/ELT processes, how it is modeled for reporting, and how business requirements should be documented for technical delivery. The Data Analyst serves as a liaison between business users and technical teams, helping define report requirements, clarify data logic, document source-to-target mappings, create development-ready tickets, support testing, and ensure BI solutions align with enterprise data standards and architecture patterns. DUTIES AND RESPONSIBILITIES: · Partner with business stakeholders to gather, clarify, and document reporting and analytics requirements. · Work closely with BI Developers, BI Architects, Data Architects, and Data Engineers to translate business needs into technical specifications. · Understand where data resides across source systems, data warehouses, semantic layers, and BI tools. · Analyze ETL/ELT processes, data flows, transformations, and dependencies to support BI solution design. · Document source-to-target mappings, business rules, metric definitions, filter logic, report logic, and reporting assumptions. · Create clear, development-ready user stories, tickets, acceptance criteria, and supporting documentation for technical teams. · Support backlog refinement, sprint planning, testing, and release coordination for BI and analytics work. · Validate reporting outputs against source data, business rules, requirements, and expected results. · Investigate data discrepancies, reporting defects, and gaps between business expectations and technical implementation. · Coordinate across BI, data architecture, data engineering, and busi
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