Business Intelligence Analyst
United StatesContract
Salary not disclosed
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Job Details
- Required Skills
- SQLBusiness IntelligenceMicrosoft Power BITableauData visualizationData modelingData analytics
Requirements
- Professional experience in business intelligence, data analytics, reporting, dashboard development, analytics engineering, data warehousing, or related roles
- Background in one or more areas such as SQL, data querying, Tableau, Power BI, Looker, data modeling, warehousing, KPI reporting, or business analytics
- Familiarity with workflows involving metric definitions, dashboard design, data pulls, reporting pipelines, stakeholder requests, and analytics documentation
- Comfort reading and preparing BI artifacts such as SQL queries, dashboard specs, KPI reports, data dictionaries, reporting tables, and analysis summaries
- Strong written communication skills
- Ability to work independently in a remote, project-based environment
- A degree or professional background in business analytics, data analytics, statistics, information systems, computer science, economics, finance, mathematics, or a related analytical field is helpful
- Equivalent practical experience in BI, data analysis, dashboarding, SQL reporting, analytics engineering, or data warehousing is also highly relevant
- Experience with SQL, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, dbt, Excel, Python, R, or modern BI and warehouse tools
- Familiarity with data modeling, semantic layers, dashboard QA, metric governance, stakeholder reporting, analytics documentation, or executive reporting
Responsibilities
- Review business intelligence scenarios involving SQL queries, data extraction, reporting logic, business metrics, and analytical workflows
- Evaluate data outputs against source requirements, business questions, query logic, and documented review criteria
- Support structured review of SQL outputs, metric definitions, data pulls, reporting tables, and analytics summaries
- Identify missing assumptions, query issues, metric inconsistencies, and expected BI review outcomes
- Review materials involving dashboards, charts, KPI reports, Tableau or Power BI outputs, and business performance summaries
- Evaluate visualizations for clarity, accuracy, usability, metric alignment, and stakeholder relevance
- Support structured review of dashboard specs, reporting layouts, chart interpretations, executive summaries, and analytics documentation
- Prepare clear written feedback based on source materials and verifiable criteria
- Review scenarios involving data modeling, warehouse tables, semantic layers, data pipelines, and reporting infrastructure
- Provide structured feedback on data accuracy, modeling logic, workflow realism, and analytics communication quality
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