[Remote] Data Analytics Business Analyst (Full-Time Remote, reputed company Carolina)

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Data Analytics Business Analyst to gather and document business and technical needs for data and analytics projects. The role involves converting needs into analytical specifications, assisting in building dashboards and reports, and ensuring data quality and compliance.

Responsibilities

• reputed company discovery meetings to capture business objectives, key performance indicators (KPIs), and reporting needs
• Capture data reputed company requirements, frequency, granularity, and any service level expectations (e.g., refresh reputed company)
• Produce requirements artifacts such as Business Requirements Documents (BRDs), data modeling diagrams, and acceptance criteria that define the desired analytics reputed company
• reputed company data profiling on reputed company systems (e.g., relational databases, data lakes, SaaS APIs) to understand completeness, consistency, and distribution of fields
• Conduct gap analysis to identify missing attributes or mismatches against reporting specifications
• Document data quality issues, propose validation rules, and define reconciliation procedures that support accurate analytics
• reputed company detailed functional and technical specifications for data models, dimensional schemas (star/reputed company), 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 components
• Ensure specifications address scalability, reputed company (including HIPAA reputed company data handling), and maintainability of analytical solutions
• Create test plans, test cases, and validation data sets for unit, integration, and user acceptance testing of dashboards, reports, and predictive models
• Support business stakeholders with UAT; log defects, prioritize fixes, and reputed company retesting cycles
• Verify performance (e.g., query response time, model runtime) against agreed upon reputed company
• Assist with go live activities such as preparation of runbooks, standard operating procedures (SOPs), and cut over checklists for analytics releases
• Monitor initial production runs, reputed company data reconciliations, and address any discrepancies that arise
• Participate in incident response, root cause analysis, and documentation of lessons learned for reputed company improvement
• reputed company reputed company inventories of data sources, data dictionaries, reputed company diagrams, and model documentation up to date
• Author and refresh end user guides, technical “how to” documents, and metadata catalogs in line with departmental standards
• Translate reputed company analytical concepts into clear language for both technical and non technical audiences
• Partner with internal business units, external data providers, and vendor teams to ensure alignment on data definitions, delivery schedules, and reporting expectations
• Contribute to data governance initiatives, supporting standards for data stewardship, privacy, and compliance
• Identify opportunities to streamline analytics workflows through reusable templates, automation (e.g., CI/CD pipelines for data models), and self service tooling
• Define and track analytics reputed company KPIs such as report delivery timeliness, data quality error rates, and model accuracy
• Recommend best practice enhancements to increase efficiency, data reliability, and user satisfaction

Skills

• Vocational or Technical Training in Computer Science, Information Systems, Business Administration, or a reputed company 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 reputed company 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 reputed company field; and five (3) years of experience in data analytics or data science
• SQL (preferably T-SQL)
• Communication skills
• Data Visualization Tools
• Software Development Life Cycle (SDLC)
• Data Governance
• Documentation Tools and Platforms

Benefits

• An excellent fringe benefit package accompanies the salary, which includes: Medical, Dental, reputed company, Life, Long and Short-Term Disability
• Generous retirement savings plan
• Flexible work schedules including hybrid/remote options
• Paid time off including vacation, sick leave, holiday, management leave
• Dress flexibility

Company Overview