# Data Analyst, User Analytics & Insights

**Company:** [Fetch](https://hotfix.jobs/companies/fetch)
**Location:** Remote
**Role:** Data Analytics
**Salary:** $92k – $109k/yr
**Experience:** 2+ years
**Skills:** SQL, Hex, Tableau, Looker, Grafana, mode, A/B Testing, power analysis, Python, dbt, Git, GitHub, Google Sheets, cohort analysis, user segmentation
**Posted:** 2026-08-10

> The Data Analyst will analyze user behavior, business performance, experiments, funnels, and retention while building dashboards and self-service reporting. The role requires 2+ years of analytics experience, strong SQL, visualization expertise, and practical knowledge of A/B testing and user segmentation.

## Job Description

## Responsibilities

### Data Analysis & Business Partnership
- Partner with Product, Marketing, Growth, Engineering, and Business stakeholders to analyze user behavior, performance, engagement, conversion, and retention.
- Translate business questions into analytical plans using SQL, visualization tools, and statistical thinking.
- Conduct routine and ad hoc analyses to identify trends, diagnose metric movements, and surface opportunities.
- Communicate findings, implications, and recommended next steps to technical and non-technical stakeholders.
- Connect data insights to user experience, business outcomes, and team priorities.
- Document assumptions, definitions, methodologies, and findings.

### Dashboarding & Reporting
- Build, maintain, and improve dashboards tracking business, product, marketing, app, and user behavior metrics.
- Create scalable self-service reporting and reduce one-off data requests.
- Ensure dashboards are accurate, documented, and easy for cross-functional partners to use.
- Monitor core KPIs and investigate trends, performance changes, and data quality issues.
- Partner with Analytics Engineering and Data Engineering to improve data definitions, reporting logic, and source-of-truth assets.

### Experimentation & Measurement
- Support experiment setup and design, including hypotheses, metric selection, audience definition, and test-readiness checks.
- Conduct MDE calculations, power analysis, and sample-size estimates.
- Analyze A/B test results, including topline impact, segment-level performance, statistical significance, and follow-up questions.
- Partner with Product, Marketing, and Data Science teams to ensure consistent experiment measurement and interpretation.
- Communicate experiment results to support launch, iteration, or discontinuation decisions.

### User Segmentation
- Create and maintain user segments for analysis, experimentation, lifecycle programs, product experiences, and reporting.
- Analyze cohorts based on behavioral, lifecycle, engagement, acquisition, and product-usage signals.
- Analyze opportunities to improve engagement, conversion, retention, and monetization across user groups.
- Support audience sizing, segment-performance tracking, and initiative readouts.
- For marketing-focused work, support campaign and lifecycle audience creation.
- For apps-focused work, support segmentation related to app usage, feature adoption, engagement, and product funnels.

## Requirements
- 2+ years of experience in analytics, data analysis, product analytics, marketing analytics, business analytics, or a related field.
- Strong proficiency in SQL for data manipulation, analysis, validation, and reporting.
- Experience building dashboards and visualizations with tools such as Hex, Tableau, Looker, Grafana, Mode, or similar platforms.
- Working knowledge of A/B testing, including hypothesis creation, metric selection, sample sizing, segmentation, and result interpretation.
- Experience creating user segments, cohorts, or audience groups for analysis, experimentation, reporting, or targeting.
- Ability to analyze funnels, retention, engagement, conversion, campaign performance, app behavior, and other user or business metrics.
- Strong attention to detail and ability to identify data quality issues.
- Strong communication skills with technical and non-technical audiences.
- Ability to independently manage routine analytical requests and clearly escalate ambiguity, blockers, or trade-offs.
- Comfort working in a fast-paced environment with evolving priorities and imperfect data.

## Nice-to-Haves
- Experience with dbt or analytics engineering workflows.
- Experience using Git or GitHub for version control, collaboration, or code review.
- Experience with Python for data analysis, automation, visualization, or statistical analysis.
- Familiarity with martech, lifecycle marketing, campaign platforms, CDPs, attribution, or audience activation tools.
- Familiarity with app analytics, event-based tracking, product instrumentation, feature adoption analysis, or app engagement metrics.
- Experience partnering with Product, Marketing, Growth, or Engineering teams.
- Comfort using Google Sheets for collaboration and lightweight analysis.

## Compensation & Benefits
- Base salary range: **$92,331-$108,625**.
- Competitive compensation package including base salary, equity, and benefits.

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**Apply:** https://hotfix.jobs/jobs/8078055c-4619-46c4-9672-a16280d58907
**Canonical:** https://hotfix.jobs/jobs/8078055c-4619-46c4-9672-a16280d58907