Data Analytics Business Analyst

Accountabilities Lead discovery sessions with business stakeholders to gather reporting requirements, define key performance indicators (KPIs), and document business and technical needs for analytics initiatives.

Analyze and profile data from multiple sources, identify data quality issues, perform gap analyses, and recommend validation and reconciliation processes to improve data accuracy.

Translate business requirements into detailed functional and technical specifications, including data models, ETL/ELT processes, analytical pipelines, and business intelligence solutions.

Develop and execute testing strategies for dashboards, reports, and predictive models by creating test plans, coordinating user acceptance testing, tracking defects, and validating performance.

Support analytics solution deployments by preparing operational documentation, monitoring production releases, resolving data discrepancies, and contributing to incident management activities.

Maintain comprehensive documentation, including business requirements, data dictionaries, lineage diagrams, metadata catalogs, user guides, and technical documentation.

Collaborate with cross-functional teams, external partners, and data governance stakeholders to ensure consistent data definitions, regulatory compliance, and effective communication across projects.

Identify opportunities to improve analytics processes through automation, reusable frameworks, self-service capabilities, and continuous monitoring of analytics performance metrics.

Requirements

Vocational or technical training, Associate's degree, or Bachelor's degree in Computer Science, Information Systems, Business Administration, or a related field, combined with the required level of professional experience in data analytics or data science.

Minimum of 3–6 years of experience in data analytics, business analysis, or data science, depending on educational background.

Strong proficiency in SQL, preferably T-SQL, for data analysis, querying, and validation.

Experience working with data visualization and business intelligence tools to develop dashboards and reports.

Solid understanding of Software Development Life Cycle (SDLC), analytics project delivery, testing methodologies, and requirements documentation.

Knowledge of data governance principles, metadata management, data quality practices, and regulatory compliance, including HIPAA-related data handling.

Excellent analytical, problem-solving, communication, and stakeholder management skills, with the ability to explain technical concepts to both technical and non-technical audiences.

Experience collaborating with data engineers, BI developers, and cross-functional teams within complex analytical environments.

Must reside in North Carolina and be available to travel periodically to the Morrisville, NC office for team meetings.

Benefits

Competitive annual salary ranging from $81,873 to $104,388 , based on experience, education, and internal equity.

Comprehensive medical, dental, vision, life, and short- and long-term disability insurance.

Generous retirement savings plan.

Flexible work arrangements, including remote work with occasional onsite collaboration.

Paid time off including vacation, sick leave, holidays, and management leave.

Flexible dress policy.

Opportunity to work in a collaborative, data-driven organization with opportunities for professional growth and continuous learning.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether? 

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