---
title: 'Global Data Analytics Expert at Valerie Group'
canonical: 'https://feeny.ai/job/global-data-analytics-expert-valerie-group-bengaluru-4hgs6b2ed0sd'
type: 'job'
last_seen: '2026-10-15'
---

# Global Data Analytics Expert at Valerie Group

- **Company:** Valerie Group
- **Location:** Bengaluru, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/valerie-group/e1b09338-68dd-45ba-bd49-0745b992581f

## Job description

## About the Role

We are looking for a rigorous, systems-minded quantitative leader to own our core commercial intelligence engine end-to-end. This is not a traditional dashboard-building or BI reporting seat. You will define, build, and encode the mathematical logic, unit-economic models, and predictive forecasting systems that power our product and drive real commercial decisions for our brands. You will sit at the intersection of finance, data science, and product engineering, turning complex commercial data, messy founder inputs, and predictive models into defensible, automated product logic and AI agent workflows.

## Key Accountabilities

1. Proprietary Systems: Growth Forecasts & P&Ls

- Growth Forecasting: Build and own the methodology that takes a brand’s current performance and projects a defensible 12-month forecast, complete with a rigorous assumption set.
- Financial Architecture: Construct brand-level P&Ls directly from the forecast, mapping revenue, COGS, contribution margin, and operating costs.
- Variance & Calibration: Continuously run models against real outcomes, measure errors, track actuals against projections, and explain every variance.

1. Productization & Agentic Workflow Design

- Product Logic: Translate sophisticated financial and statistical models into production-ready product logic so the system calculates and delivers outputs natively.
- AI Agent Specification: Define what data agents compute, what internal data/benchmarks they draw on, and what assertions they are strictly barred from making.
- Human-in-the-Loop Orchestration: Replace manual validation with automated product rules while establishing clear review gates for human sign-off before deliverables ship.
- Data Schemas & Engineering Collaboration: Specify data structures, validation rules, and pipelines across structured commercial inputs, partnering directly with engineering to bring models to life in production.

1. Decision Framing & Commercial Rigor

- Decision-First Modeling: Design every analysis backwards from the specific commercial decision it is meant to change.
- Uncertainty & Stated Confidence: Size uncertainty statistically, state clearly what sparse or self-reported data cannot support, and attach a stated confidence level to every output.
- Benchmark Library Management: Define and version the benchmark repository (category, stage, market) to evaluate brands accurately even when data is sparse.

1. Enablement & Commercial Communication

- Cross-Functional Communication: Present complex numbers, models, and uncertainties to founders and operators with clarity and authority.
- Quantitative Literacy: Raise the analytical bar across the business by teaching teams how to read and interpret model outputs correctly.
- Documentation & Standards: Write airtight documentation and standards for data/finance deliverables so cross-functional delivery teams can execute autonomously.

What This Seat Is Not

- Not a BI/Reporting Seat: Dashboards are merely one downstream output of this work; your primary focus is proprietary modeling and product architecture.
- Not Research Without Action: We judge models by the decisions they actually changed, not academic complexity.
- Not a Data Engineering Seat: You will specify pipelines, schemas, and logic for engineering to build—you won't be maintaining core infrastructure tables yourself.

Ideal Background & Qualifications Must-Haves

- Experience: 6–8 years in growth, marketing, commercial, or product analytics within DTC, e-commerce, marketplaces, or specialized platforms.
- Proven Track Record: End-to-end ownership of a forecasting, unit-economics, or media-mix model that commercial teams relied on for high-stakes budget or strategic decisions. You can name the decisions your model changed and what followed.
- DTC Unit Economics Mastery: Deep fluency in CAC, AOV, COGS, contribution margin, LTV, payback period, breakeven, retention cohorts, and working capital reconciliation.
- Modelling with Incomplete Data: Demonstrated ability to build robust outputs from banded, self-reported, or partial founder inputs while explicitly quantifying confidence levels.
- Statistical Rigor: Strong foundation in sizing uncertainty, managing sample limitations, and maintaining analytical integrity.
- Technical Depth: Hands-on daily fluency in SQL and Python.
- Product & Engineering Collaboration: Experience working directly with engineering teams to turn quantitative models or metric definitions into production software.
- Communication: Exceptional presence and ability to defend underlying assumptions and model uncertainty under direct challenge.

Nice-to-Haves

- Media mix modeling (MMM), incrementality testing, or causal measurement methodologies.
- Applied machine learning experience (forecasting, propensity, or segmentation models in production).
- Experience evaluating generative AI or multi-agent system outputs.
- Familiarity with modern data stack layers (Snowflake, BigQuery, dbt) and attribution platforms (Triple Whale, Northbeam, Rockerbox).
- Exposure to multi-brand ecosystems via agency, consulting, or platform environments.
- Experience in early-stage product environments where models and products were co-developed from scratch.

The best time to join Valerie was yesterday. The next best time is now 🤓 👋Our Hiring Process We want interviews to be valuable for both sides. Throughout the process, you'll meet the people you'll work with, learn more about the role, and get a chance to understand how we think and operate. Our process typically includes:

- Introductory conversation with our Talent team <> 30 mins
- Hiring Manager interview <> 30-45 mins
- Role-specific assessment or practical exercise (where applicable)
- Cross-functional or stakeholder interviews <> 30-45 mins
- Final conversation with leadership <> 30-45 mins

We'll always let you know what to expect before each stage. 💪🏾What You Can Expect

- Meaningful work with visible impact
- High ownership from day one
- Collaboration with experienced founders, operators, and specialists
- A team that values curiosity, initiative, and continuous improvement
- Competitive compensation and the tools you need to do your best work
- Opportunities to grow as Valerie grows

Valerie is committed to building an inclusive workplace where people from different backgrounds, experiences, and perspectives can thrive. We hire based on skills, potential, and the ability to contribute to our team.

## About Valerie Group

## Company Overview
- **One-liner**: Valerie Group is an AI-driven growth and investment platform that partners with high-potential direct-to-consumer (DTC) e-commerce brands, providing technology, marketing services, and performance-based capital.
- **Entity Type**: Private (bootstrapped with performance-based funding; invitation-only)
- **Headquarters**: Singapore (68 Circular Road, #02-01, Singapore 049422)
- **Founded**: 2025
- **Founders**: Not publicly disclosed; leadership includes Stephen Doorey (Director)

## Core Business
- **Primary industry**: E-commerce growth infrastructure / AI-powered marketing services
- **Target customers**: DTC e-commerce brands (B2B, primarily small to mid-size with high potential)
- **Mission or purpose**: “To close the gap between what your brand is capable of and what it has been able to prove” — an equalizer for founders who deserve a level playing field.

## Products & Services
- **[Intelligence Platform](https://valeriegroup.com/)**: Proprietary AI that continuously processes market noise, audience behavior, and unit economics to surface high-ROI opportunities. Sold as a core component of the partnership.
- **[Service Engine](https://valeriegroup.com/)**: A unified team of elite specialists covering paid media, creative, CRO, email/SMS (Klaviyo), SEO, tech, and strategy. Operates on aggressive testing and outcomes-over-activity.
- **[Path to Funding](https://valeriegroup.com/)**: Performance-based capital deployment – equity is only taken after proof of value. Designed to avoid early dilution and align incentives with founder success.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total funding not disclosed; revenue not publicly available
- **Notable Investors/Partners**: None publicly listed; operates with its own capital and a partner fund
- **Growth Signals**: Headcount grew 425% year-over-year (to ~13 employees as of mid-2026); actively hiring 13+ roles across engineering, marketing, design, and operations; expanding remote presence across Singapore, Philippines, India, Australia, UK, UAE

## Competitive Advantages
- **Proprietary AI platform** built by e-commerce veterans – continuously scans 100,000+ brands to identify undervalued opportunities
- **Founder-friendly model** – no upfront equity or dilution; capital only deployed after validated performance
- **Invitation-only** – ruthless selection ensures high-conviction partnerships and elite operator culture
- **Unified execution** – replaces fragmented agency stacks with a single, aligned Service Engine

## Strategic Focus
- Scaling the number of high-potential DTC brand partnerships through continued AI model refinement
- Building out the autonomous Intelligence Platform to reduce manual effort while maintaining human strategic oversight
- Expanding global remote team (currently hiring for cloud infrastructure, creative, data, and project management roles)

## Why Work Here
- **Remote-first, high-autonomy culture** – “we don’t do corporate hierarchy” – emphasis on merit, performance, and skills over politics
- **Opportunity to earn ownership** in what you build, not just a salary
- **Work alongside world-class technologists, data scientists, and digital marketers** at the bleeding edge of e-commerce growth
- **Hybrid offices** in Bangalore, UK, and UAE; fully remote roles also available
- **Culture built for entrepreneurs** – “ruthless standard for craft and commitment” – ideal for those who want direct impact at a fast-growing startup

## Sources
1. [valeriegroup.com](https://valeriegroup.com/)
2. [jobs.ashbyhq.com (careers)](https://jobs.ashbyhq.com/valerie-group)
3. [builtin.com](https://builtin.com/company/valerie-group)
4. [sg.linkedin.com](https://sg.linkedin.com/company/valerie-group)
5. [remotefront.com](https://www.remotefront.com/companies/Valerie%20Group)

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- [Data Scientist](https://feeny.ai/job/data-scientist-valerie-group-bengaluru-6eqsf2wnjmjz) — Bengaluru, India
- [Founding Cloud Infrastructure Engineer (AI Platform)](https://feeny.ai/job/founding-cloud-infrastructure-engineer-ai-platform-valerie-group-india-p6a432v10bct) — India
- [Digital Project Manager](https://feeny.ai/job/digital-project-manager-valerie-group-india-zfvr9pw8r22c) — India
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