Bioptimizers·about 19 hours ago
About BiOptimizers
BiOptimizers exist to help people go from baseline health to peak biological performance. We develop science-backed supplements and wellness tools that deliver measurable results. As a remote-first company, our globally distributed team focuses on clarity, autonomy, and operational excellence. Every role is designed to support the health and performance of both our customers and our organization.
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.
Business Partnership & Strategic Analytics (Primary Focus)
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
Cross-Functional Collaboration & Analytics Vision
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
AI-Powered Analytics & Rapid Delivery (Required)
Expert-level proficiency with AI coding tools (Claude Code, Cursor) - non-negotiable
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
Discovery & Stakeholder Management
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
Dashboard & Analytics Development
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
Data Validation & Business Logic
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
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
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
This is a fully remote position. BiOptimizers has a globally distributed team and supports flexible work arrangements across time zones.
With team members across many countries and time zone differences of up to 16 hours, we’ve established a standard collaboration window from 9:00 AM – 5:00 PM EST.
This is not a required work schedule, but a shared time frame for meetings and team syncs. At BiOptimizers, we support flexibility — team members are encouraged to work the hours that best suit them, as long as they:
Attend required meetings
Communicate effectively across time zones
Deliver work by agreed-upon deadlines
BiOptimizers is committed to diversity and inclusion and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other basis protected by applicable law.