Analyst, Business Intelligence - Hybrid
Role details
Job location
Tech stack
Job description
- Partner with business stakeholders to identify reporting and analytics needs aligned with strategic objectives
- Conduct discovery sessions, workshops, and interviews to gather and document requirements
- Translate business questions into technical specifications, KPIs, and data definitions
- Act as the primary BI point of contact for assigned business domains
Data Analysis & Insights Generation
- Analyze large, complex datasets to identify trends, patterns, and opportunities
- Perform exploratory data analysis and root cause investigations
- Deliver actionable insights and recommendations to improve business performance
- Apply statistical methods and analytical techniques where appropriate
Dashboarding & Data Visualization
- Design, develop, and maintain interactive dashboards and reports using BI tools (e.g., Looker, Excel, Tableau)
- Ensure visualizations are intuitive, scalable, and aligned with best practices in data storytelling
- Support self-service BI by enabling users with governed datasets and reusable dashboards
Data Management & Querying
- Extract, transform, and analyze data from data warehouses and multiple sources using SQL and other querying tools
- Validate data accuracy, consistency, and completeness across systems
- Collaborate with data engineering teams on data pipelines, data models, and ETL processes
Data Governance & Quality
- Support data governance initiatives including data definitions, lineage, and cataloging
- Ensure compliance with data standards, security policies, and regulatory requirements
- Identify and resolve data quality issues and implement controls to prevent recurrence
Product & Process Improvement
- Evaluate internal and external data products to identify opportunities for innovation and efficiency
- Participate in product development lifecycle (Agile ceremonies, backlog grooming, sprint planning)
- Recommend enhancements to BI tools, data architecture, and reporting frameworks
Communication & Executive Reporting
- Present findings and recommendations to leadership in a clear and compelling manner
- Translate complex technical concepts into business-friendly language
- Prepare executive-level summaries, scorecards, and performance reports
Requirements
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Bachelor's degree or equivalent related work or military experience
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1 or more years of experience in business intelligence and data analytics, * Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business, Engineering, Mathematics, or related field
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5+ years of experience in Business Intelligence, Data Analytics, or a related role
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Strong understanding of data warehousing concepts (e.g., star schema, dimensional modeling)
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Experience across the full BI lifecycle (requirements, design, development, testing, deployment, maintenance)
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Proficiency in BI tools (Looker, Tableau, or similar)
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Strong SQL skills; familiarity with Python or R is a plus
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Experience with data warehouses (e.g., Google BigQuery, Snowflake, Redshift, Oracle, Azure Synapse)
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Understanding of ETL/ELT processes and data pipeline concepts
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Familiarity with version control (e.g., Git) and Agile methodologies
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Familiarity with LLMs (Gemini, Claude)
Benefits & conditions
- Competitive compensation package
- Full health insurance benefits are available on day one
- Life and disability insurance
- Earn up to 15 days of PTO over your first year
- 9 paid company holidays
- 401(k) option with company match
- Education assistance
- Opportunity to participate in a company incentive plan
What you'll do on a typical day