AssistRx
Information Technology and Services
DataAnalystBusinessIntelligence
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“Data Analyst Business Intelligence at AssistRx. Skills: Business Intelligence, Data Analysis, Requirements Documentation, SQL. Partner with business stakeholders. Gather, clarify, document requirements”
What You'll Achieve.
Ensure BI solutions align with enterprise data standards and architecture patterns.; Drive delivery.; Support standardization of BI requirements, documentation practices, reusable reporting patterns, and intake processes.; Ensure BI solutions align with enterprise data standards and architecture patterns.
Industry & Context.
analytical, problem-solving, and organizational skills with attention to detail and accuracy.; Investigate data discrepancies; Investigate reporting defects; Investigate gaps between business expectations and technical implementation.; Problem Solving; Gathers and analyzes information; Develops alternative Uses reason and data to evaluate options.
Continually required to sit., Continually required to utilize hand and finger dexterity., Occasionally required to stand., Occasionally required to walk., Continually required to talk or hear., Specific vision abilities required by this job include close vision, depth perception, and ability to adjust focus., Work is performed in a professional office, remote, or hybrid work environment with standard office lighting and noise levels., Employee may be required to use a computer, telephone, video conferencing tools, and standard office equipment for extended periods of time., Tight deadlines may need to be met while coordinating across multiple stakeholders and priorities., Occasional evening and weekend work may be required to support releases, urgent reporting needs, or production validation., Employee may need to travel within the U. S. on an occasional basis., Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
What They're Looking For.
Must Have
bachelor's degree in information systems, Business Analytics, Computer Science, Data Analytics, Business Administration, or related equivalent experience may be considered., 3+ years of experience as a Data Analyst, BI Analyst, Business Analyst, Technical Business Analyst, Systems Analyst, or similar role supporting data, reporting, or analytics initiatives., understanding of BI delivery processes, reporting requirements, data models, and analytics solution design., Experience working with BI tools such as Power BI, ThoughtSpot, Tableau, Looker, or similar platforms., Experience working with data warehouses, relational databases, or cloud data platforms such as Snowflake, SQL Server, Azure, or similar technologies., Ability to read and write SQL for data investigation, validation, requirements analysis, and troubleshooting., Understanding of ETL/ELT concepts, data pipelines, source-to-target mapping, transformation logic, and data dependencies., Experience creating user stories, acceptance criteria, process flows, data mappings, technical specifications, and supporting documentation., communication skills with the ability to work effectively between business stakeholders and technical teams., analytical, problem-solving, and organizational skills with attention to detail and accuracy.
Nice to Have
Experience with Agile delivery tools such as Jira, Azure DevOps, or similar platforms preferred., Preferred domain experience includes healthcare, pharmacy, patient services, specialty pharmacy, hub services, payer/insurance, life sciences, pharmaceutical, or other regulated operational reporting environments.
What You'll Do.
Partner with business stakeholders
document requirements
Translate business needs
Understand data resides
Analyze ETL/ELT processes
Document source-to-target mappings
Support backlog refinement
Validate reporting outputs
Investigate data discrepancies
Coordinate across teams
Support standardization of BI requirements
Assist with user acceptance testing
Communicate technical concepts
Identify opportunities to improve processes
How You'll Work.
Team & Collaboration
Partner with BI Developers, BI Architects, Data Architects, Data Engineers; Work closely with BI Developers, BI Architects, Data Architects, Data Engineers; Coordinate across BI, data architecture, data engineering, and business teams; Communicate technical concepts clearly to non-technical stakeholders; Communicate business context clearly to technical teams; Teamwork; Cross-functional collaboration
Communication Scope
communication skills with the ability to work effectively between business stakeholders and technical teams.; Communicate technical concepts clearly to non-technical stakeholders; Communicate business context clearly to technical teams.; Communication; Written Communication
Process & Methodology
Support backlog refinement, Sprint planning, Release coordination, Project Coordination
Full Job Description
UMMARY: 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. **Requirements** 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 engineeri
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