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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