Business Data Analyst

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. Gather, identify, document, and maintain business and functional requirements for organizational data management needs .

Posted 10/28/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analysis, business intelligence, and requirements gathering, with a strong focus on data integrity and stakeholder communication. Proficient in SQL, data modeling, and BI tools such as Power BI for effective reporting and visualization.

Highest-signal resume keywords

Data AnalysisSQL ProficiencyBusiness Intelligence ToolsData ModelingAgile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Analysis TechniquesData MappingData Warehousing ConceptsSQL ScriptsData Flow DiagramsTesting and ValidationUser Story DevelopmentMetrics and KPIsReporting DevelopmentData Integrity Assurance

Soft Skills

Strong Organizational SkillsAnalytical SkillsProblem-Solving SkillsExcellent Communication SkillsStrategic Thinking

Tools & Technologies

Power BISSRSData Visualization ToolsData LakesData Warehouses

Certifications & Qualifications

SQL CertificationMicrosoft Data Analyst Associate Certification

Industry Keywords

Business IntelligenceRelational Database DesignDimensional Database DesignStakeholder CommunicationCross-Functional Collaboration

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Gather, identify, document, and maintain business and functional requirements for organizational data management needs
Act as a liaison between business units and business intelligence developers
Understand, analyze, and document requirements for reports, visualizations, data warehouses, and multi-dimensional cubes
Test and validate solutions to ensure quality and customer expectations are met
Develop and maintain knowledge of business data needs
Elicit and document stakeholder requirements for reports, dashboards, metrics, and KPIs
Collaborate with cross-functional teams on requirements and technical solutions
Perform data analysis, data mapping, process flow analysis and design, data and report testing, and issue identification
Test enhancements and fixes
Assure data integrity between data warehouses, data lakes, and other systems
Validate transaction accuracy between integrated systems
Create source-to-data-warehouse mapping specifications, data models, and data flow diagrams
Build user stories with acceptance criteria for backlog refinement and prioritization
Participate in Agile and SCRUM methodologies
Review user stories in backlog refinement meetings
Participate in reporting development and implementation
Maintain effective working relationships across departments
Maintain team documentation, standards, and guidelines
Provide clear and concise business update reports to management
Evaluate emerging technologies and propose effective data solutions for BI solutions
Perform additional duties as assigned

Requirements

What you’ll need

Bachelor’s degree in business, operations, computer science, data analytics, or a related field from a four-year college or university, or equivalent combination of education and experience
Minimum of 3–5+ years of related experience or equivalent combination of education and experience
Beginner to mid-level SQL certification and Microsoft Data Analyst Associate certification in Power BI or a related certification beneficial but not required
Understanding and experience with data analysis techniques, standards, and best practices
Strong organizational, analytical, and problem-solving skills
Excellent verbal and written communication skills
Ability to communicate clearly with stakeholders at all levels
Strategic thinking and planning
Understanding of information systems, data modeling, business intelligence, relational and dimensional database design
Knowledge of data exploration, research, data warehousing concepts, testing, and business architecture principles
Experience using BI tools for data visualization and reporting
Experience working with cubes, measures, and dimensions
Understanding of SQL scripts and reporting and visualization techniques such as SSRS and Power BI

Benefits

Comp & perks

Medical, dental, and vision coverage
HSA, FSA, and Lifestyle Spending Accounts
401(k) with company match
Remote work options
14 paid holidays
Care and Parental Leave
Flexible Leave policy
Mentorship programs
Management training
Professional development opportunities
Dedicated coaching team
Employee-led committees
Award-winning workplace culture