# Analytics Manager

**Company:** [Forge](https://hotfix.jobs/companies/forge)
**Location:** New York, NY, San Francisco, CA
**Role:** Data Science
**Salary:** $120k – $150k/yr
**Experience:** 5+ years
**Skills:** SQL, Python, Machine Learning, Statistical Modeling, A/B Testing, predictive modeling, Snowflake, Looker, Generative AI, LLMs, Data Analytics, kpi frameworks
**Posted:** 2026-08-13

> Analytics Manager serving as a hands-on individual contributor, partnering cross-functionally to solve business problems, design experiments, build predictive models, and deliver trusted reporting. Requires 5–7 years of relevant experience, advanced SQL, Python, machine learning, and strong stakeholder communication.

## Job Description

## Responsibilities

### Analytics, Strategy & Business Impact
- Own analytics strategy and decision support across business domains.
- Translate ambiguous business questions into analytical frameworks, recommendations, and action plans.
- Conduct deep-dive analyses of customer behavior, marketplace dynamics, product performance, growth opportunities, and business performance.
- Partner with business leaders to identify opportunities, define success metrics, measure impact, and guide tradeoffs.
- Design and evaluate experiments for product, marketing, and operational decisions.

### Machine Learning & AI
- Develop predictive and statistical models that improve business outcomes.
- Identify opportunities to apply machine learning and AI to customer experiences, internal workflows, prioritization, and decision support.
- Partner with Product, Engineering, and business teams to evaluate, prototype, and operationalize AI-driven solutions.
- Apply machine learning, statistical modeling, automation, and generative AI to practical business use cases.
- Help shape responsible use of analytics and AI through practical use cases, measurable value, and trusted outputs.

### Reporting, Data Quality & Enablement
- Build and maintain dashboards, recurring reporting, and self-service assets.
- Define and maintain trusted business metrics, KPI frameworks, and measurement standards.
- Validate data quality, investigate anomalies, reconcile discrepancies, and surface risks in analytical outputs.
- Partner with data and engineering teams to improve data reliability, usability, and scalability.
- Automate repetitive analytical workflows and improve team processes, templates, QA checks, and stakeholder workflows.

### Stakeholder Partnership & Leadership
- Act as a trusted analytics partner and primary point of contact for assigned stakeholder groups.
- Lead intake and prioritization for analytical work by clarifying goals, scoping projects, setting expectations, and communicating progress.
- Tell clear, compelling stories with data and influence decisions through evidence-based recommendations.
- Mentor analysts and stakeholders informally through code reviews, analytical approaches, measurement design, and best practices.
- Operate independently in ambiguous, fast-moving environments with ownership and accountability for outcomes.

## Requirements
- 5–7 years of experience in analytics, data science, quantitative strategy, or a related field.
- Bachelor’s degree.
- Advanced SQL skills and ability to move independently from raw data to actionable recommendations.
- Strong Python experience for statistical analysis, machine learning, and automation.
- Experience designing and analyzing experiments, including A/B testing or causal measurement.
- Experience building predictive models or applying machine learning to real-world business problems.
- Experience with Snowflake and Looker.
- Strong communication skills and ability to translate complex analytical concepts into clear business recommendations.
- Ability to influence decisions through data and build strong cross-functional partnerships.
- Comfort operating in ambiguity with significant ownership, autonomy, and accountability.

## Nice-to-Haves
- Experience deploying, operationalizing, or monitoring machine learning models in a business environment.
- Experience with customer lifecycle, marketplace, fintech, investment, product, or growth analytics.
- Experience using generative AI or LLM-based tools for analytical workflows or practical business solutions.
- Familiarity with product analytics, marketing measurement, experimentation platforms, or event instrumentation.

## Compensation
- San Francisco annual salary range: **$120,000–$150,000**, plus annual bonus.
- Final offers may vary based on geography, experience, expertise, bonus, and other factors.

## Similar roles

- [Bioinformatics Scientist](https://hotfix.jobs/jobs/bafb82d3-7263-4bb7-952b-8b7d5576747c) - Axle - Bethesda, MD - $120k – $130k/yr
- [Applied AI Data Scientist](https://hotfix.jobs/jobs/6f42cb79-3635-4777-a3ca-f38177a9e55c) - AE Studio - Remote - $120k – $220k/yr
- [Research Data Scientist](https://hotfix.jobs/jobs/5184c9d2-cd19-4787-904a-25f6ea71b732) - Swayable - New York, NY - $125k – $165k/yr
- [Data Scientist, Decisions - Central Market Management](https://hotfix.jobs/jobs/3764bcb0-3b7d-42a6-b07a-d21f4f052388) - Lyft - San Francisco, CA - $128k – $160k/yr
- [Quantitative Researcher](https://hotfix.jobs/jobs/ba04f749-b885-4bd7-8d5a-46054ee5f7b8) - Trexquant - New York, NY - $130k – $200k/yr

**Apply:** https://hotfix.jobs/jobs/87ef4e71-c809-4609-af48-6901e9d5e912
**Canonical:** https://hotfix.jobs/jobs/87ef4e71-c809-4609-af48-6901e9d5e912