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Strategic Business Intelligence Analyst

20.00 - 25.00 USD / Hour · Job Posted February 20, 2026
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Job Description

BiOptimizers is seeking a Business Intelligence Analyst to serve as the strategic analytics partner for cross-functional business teams. This role bridges the gap between data and decision-making, working directly with marketing, operations, and executive stakeholders to translate business challenges into actionable insights.

Job Responsibility

  • Partner directly with marketing, operations, and executive teams to drive data-driven decisions
  • Proactively identify analytics opportunities before stakeholders ask
  • Deep-dive into each department's goals, KPIs, and pain points to anticipate needs
  • Translate ambiguous business problems into specific, measurable analytics projects
  • Challenge stakeholders constructively when metrics don't align with business objectives
  • Build trusted relationships across the organization
  • Present data-driven recommendations that influence strategic decisions
  • Work with data engineers to define data requirements and ensure data availability
  • Collaborate with data scientists to leverage advanced analytics and modeling outputs
  • Synthesize technical work into clear business narratives and actionable dashboards
  • Lead strategic vision for new analytics capabilities and innovative data cuts
  • Push creative boundaries on how data is segmented, analyzed, and presented
  • Identify gaps in current analytics and propose novel approaches to answer business questions
  • Leverage AI to deliver insights 5-10x faster than traditional methods
  • Go from stakeholder conversation to production dashboard in hours/days, not weeks
  • Use AI as primary workflow for SQL queries, data analysis, and visualization development
  • Demonstrate modern, AI-first analytics approach that maximizes speed and quality
  • Conduct discovery sessions with non-technical business users
  • Ask diagnostic questions that uncover the real problem behind surface-level requests
  • Document business logic, metric definitions, and success criteria
  • Manage expectations and communicate timeline/feasibility tradeoffs
  • Educate stakeholders on data limitations and analytical best practices
  • Present findings to executives and department heads with clarity and confidence
  • Design self-service dashboards that empower business users to make decisions
  • Create role-specific views (executive summary vs operational deep-dive)
  • Build visualizations that answer 'so what?' not just 'what happened?'
  • Focus on actionable metrics that drive revenue, reduce costs, or improve efficiency
  • Experience with modern BI platforms (Superset, Tableau, Power BI, Looker, Metabase). We are using Superset
  • Implement data storytelling techniques that communicate insights effectively
  • Validate data accuracy and identify anomalies before stakeholders see them
  • Understand SQL queries sufficiently to troubleshoot and validate logic
  • Work with AI tools to query data, build aggregations, and join datasets
  • Apply business context to spot data issues that might mislead decision-makers

Requirements

  • AI-First Analytics Expertise - Proficient with Claude Code or Cursor (non-negotiable)
  • 3-5 years Business Intelligence or Analytics experience with proven stakeholder management
  • Business Partnership Mindset - Demonstrated ability to partner with executives and department heads, understand their domain deeply, and anticipate analytics needs
  • Requirements Analysis Expertise - Track record of translating vague business questions into specific, measurable analytics deliverables
  • Dashboard Development - Production dashboards built in Superset, Tableau, Power BI, Looker, or similar BI platforms
  • Stakeholder Communication Excellence - Can explain complex data findings to non-technical audiences and influence business decisions
  • SQL Proficiency - Read, validate, and understand queries with AI assistance
  • basic joins, aggregations, and filtering
  • Ownership & Autonomy - Self-directed professional who estimates timelines, delivers on commitments, and owns outcomes
  • US Time Zone Required
  • Excellent written and verbal communication in English

Nice to have

  • Ecommerce & DTC Analytics Expertise - Deep understanding of CAC, LTV, ROAS, conversion funnels, AOV, retention cohorts, repeat purchase rate
  • Multi-Channel Commerce Experience - Shopify, Amazon Seller Central, TikTok Shop, retail distribution analytics
  • Marketing Analytics Background - Meta Ads, Google Ads, email marketing (Klaviyo), affiliate performance, attribution modeling
  • Customer Journey & Attribution Knowledge - Understands multi-touch attribution, customer lifecycle, and channel contribution analysis
  • Supplement, CPG, or DTC Brand Experience - Familiar with subscription models, bundling strategies, and retention challenges in ecommerce

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