Valerie Group helps direct-to-consumer e-commerce brands build and scale growth operations. The company combines a proprietary AI intelligence platform with experienced human operators across paid media, creative, conversion rate optimization, email, SEO, technology, and strategy. Its work is grounded in structured experimentation, including A/B testing and pilot programs, and it connects performance-focused execution with potential performance-based capital designed to defer dilution until results are demonstrated. Valerie Group works with digital-native consumer brands through integrations with platforms such as Shopify, Meta, Google, TikTok, and Amazon, with a focus on measurable growth and repeatable operating systems.
Senior Data Analytics Expert
Build growth forecasts and brand profit-and-loss systems for Valerie Group. Turn quantitative models and AI workflows into practical tools for commercial decisions.
Description
- Develop and maintain a rigorous 12-month growth forecasting methodology
- Build brand-level profit-and-loss statements from forecasts, mapping revenue, cost of goods sold, contribution margin, and operating costs
- Compare model forecasts with actual results, measure errors, track variances, and explain differences
- Turn financial and statistical models into production-ready product logic
- Define AI agent calculations, data sources, benchmarks, and claims the agents must not make
- Set up human review checkpoints before deliverables are released
- Work with engineering to define data schemas, validation rules, and pipelines
- Create analyses focused on specific commercial decisions
- Measure uncertainty and assign confidence levels to outputs
- Create and maintain versioned benchmarks by category, stage, and market
- Explain complex models and uncertainty to founders and operators
- Help teams interpret model outputs accurately
- Document data and finance standards so teams can work independently across functions
Requirements
- 6–8 years of experience in growth, marketing, commercial, or product analytics in direct-to-consumer, e-commerce, marketplaces, or specialized platforms
- End-to-end ownership of a forecasting, unit economics, or media mix model used by commercial teams for high-stakes budget or strategy decisions
- Strong command of customer acquisition cost, average order value, cost of goods sold, contribution margin, lifetime value, payback period, breakeven, retention cohorts, and working capital reconciliation
- Ability to produce robust analyses from approximate ranges, self-reported figures, or incomplete founder inputs, while clearly quantifying confidence
- Strong grounding in uncertainty estimation, sample limitations, and analytical integrity
- Daily hands-on proficiency with SQL and Python
- Experience partnering directly with engineering to turn quantitative models or metric definitions into production software
- Strong communication skills and the ability to defend assumptions and explain model uncertainty under challenge
- Media mix modeling, incrementality testing, or causal measurement experience is a plus
- Experience deploying machine learning in production is a plus
- Experience evaluating generative AI or multi-agent system outputs is a plus
- Familiarity with Snowflake, BigQuery, dbt, Triple Whale, Northbeam, or Rockerbox is a plus
- Experience with multi-brand businesses through agency, consulting, or platform work is a plus
- Experience co-developing models and products from scratch in an early-stage product environment is a plus
Benefits
- Meaningful work with visible impact
- Significant ownership from the first day
- Work alongside experienced founders, operators, and specialists
- A team that values curiosity, initiative, and continual improvement
- Competitive compensation and the tools needed to do your best work
- Room to grow as Valerie grows
- An inclusive workplace where people with different backgrounds, experiences, and perspectives can thrive