Data Analytics Business Analyst (Full-Time Remote)

The Data Analytics Business Analyst gathers and documents business and technical needs for data and analytics projects, converts them into analytical specifications and test plans, assists in building and validating dashboards, reports, and predictive models, and safeguards data quality and HIPAA compliance across all analytical solutions.

This position is full-time remote. Selected candidate must reside in North Carolina and be willing to travel to the home office (Morrisville, NC) for onsite team meetings as needed.

Responsibilities & Duties Elicit and Document Analytics Requirements Lead discovery meetings to capture business objectives, key performance indicators (KPIs), and reporting needsCapture data source requirements, frequency, granularity, and any service level expectations (e.g., refresh windows)Produce requirements artifacts such as Business Requirements Documents (BRDs), data modeling diagrams, and acceptance criteria that define the desired analytics outcomesAnalyze and Profile Data Perform data profiling on source systems (e.g., relational databases, data lakes, SaaS APIs) to understand completeness, consistency, and distribution of fieldsConduct gap analysis to identify missing attributes or mismatches against reporting specificationsDocument data quality issues, propose validation rules, and define reconciliation procedures that support accurate analytics Translate Requirements into Analytical Specifications Develop detailed functional and technical specifications for data models, dimensional schemas (star/snowflake), and analytical pipelines (ETL/ELT, data wrangling scripts, BI tool configurations)Collaborate with data engineers, data scientists, and BI developers to align design patterns, naming conventions, and reusable componentsEnsure specifications address scalability, security (including HIPAA related data handling), and maintainability of analytical solutions Plan and Execute Testing of Analytical Solutions Create test plans, test cases, and validation data sets for unit, integration, and user acceptance testing of dashboards, reports, and predictive modelsSupport business stakeholders with UAT; log defects, prioritize fixes, and oversee retesting cyclesVerify performance (e.g., query response time, model runtime) against agreed upon thresholds Support Implementation and Ongoing Operations Assist with go live activities such as preparation of runbooks, standard operating procedures (SOPs), and cut over checklists for analytics releasesMonitor initial production runs, perform data reconciliations, and address any discrepancies that ariseParticipate in incident response, root cause analysis, and documentation of lessons learned for continuous improvement Maintain Documentation and Knowledge Base Keep current inventories of data sources, data dictionaries, lineage diagrams, and model documentation up to dateAuthor and refresh end user guides, technical “how to” documents, and metadata catalogs in line with departmental standards Communication and Collaboration Translate complex analytical concepts into clear language for both technical and non technical audiencesPartner with internal business units, external data providers, and vendor teams to ensure alignment on data definitions, delivery schedules, and reporting expectationsContribute to data governance initiatives, supporting standards for data stewardship, privacy, and compliance Continuous Improvement Identify opportunities to streamline analytics workflows through reusable templates, automation (e.g., CI/CD pipelines for data models), and self service toolingDefine and track analytics related KPIs such as report delivery timeliness, data quality error rates, and model accuracyRecommend best practice enhancements to increase efficiency, data reliability, and user satisfaction Minimum Requirements Education and Experience Vocational or Technical Training in in Computer Science, Information Systems, Business Administration, or a related field; and six (6) years of experience in data analytics or data science; Or Associate’s degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (5) years of experience in data analytics or data science; Or Bachelor’s degree from an accredited university in Computer Science, Information Systems, Business Administration, or a related field; and five (3) years of experience in data analytics or data science.

Knowledge, Skills, & Abilities SQL (preferably T-SQL)Communication skillsData Visualization ToolsSoftware Development Life Cycle (SDLC)Data GovernanceDocumentation Tools and Platforms Employment for this position is contingent upon a satisfactory background check and credit check, which will be performed after acceptance of an offer of employment and prior to the employee's start date.

Salary Range $81,873-104,388/Annually Exact compensation will be determined based on the candidate's education, experience, external market data and consideration of internal equity.

An excellent fringe benefit package accompanies the salary, which includes: Medical, Dental, Vision, Life, Long and Short-Term DisabilityGenerous retirement savings planFlexible work schedules including hybrid/remote optionsPaid time off including vacation, sick leave, holiday, management leaveDress flexibility