Senior Data Analyst

Eightpoint; Fort Myers (FL); Remote; USD 110,000 - 150,000; Full time

Job summary

Eightpoint is seeking a senior Product Analytics professional to partner with product, marketing, and engineering. You will own analytics frameworks, drive data-informed roadmap decisions, and ensure features are measurable from day one.

The role emphasizes experimentation, AI-driven reporting, and mentoring peers. You will work remotely with US Eastern overlap and communicate insights to non-technical stakeholders.

Qualifications

• 5+ years of experience in product analytics, data analytics or a related role with consumer mobile apps or web products.
• Advanced SQL skills including window functions, CTEs, and complex joins on large datasets.
• Hands‑on experimentation experience, including A/B test design, power analysis and statistical testing.
• Strong product analytics fundamentals: funnel and cohort analysis, event data and instrumentation.
• Daily use of AI tools in analytics workflows (e.g., Claude family).
• Working knowledge of Python for analysis and scripting.

Responsibilities

• Act as the primary analytics partner for product owners, shaping roadmap priorities with data.
• Build analytical frameworks to inform decisions on new features from pre-launch sizing to post-launch impact.
• Turn ambiguous product questions into concrete analyses and clear recommendations.
• Partner with PMs on event tracking plans and instrumentation QA for measurable features.
• Own A/B tests and experiments end to end: hypothesis, power analysis, readout and ship decisions.
• Raise the bar on how we design, run and learn from experiments across products.
• Use AI tools to automate recurring reporting and speed up insight generation.
• Build self-serve reporting so product owners can answer questions without data team wait times.
• Find anomalies and data integrity gaps, and fix or elevate them before decisions.

Skills

Advanced SQL

Experimentation

Product analytics

Python for analysis

AI tools in analytics

Communication

Tools

Claude

Claude Cowork

Claude Code

dbt

AWS

Google Cloud

Amazon Quick

Job description

This is a hands-on role for someone who moves from question to answer quickly. Our team works AI-first: we use AI tools daily to write queries, automate reporting and get insights into stakeholders’ hands faster. You will work closely with product, marketing and engineering, and you will be expected to bring a point of view, not just a dashboard.

What You’ll Do

Product Analytics

• Act as the primary analytics partner for product owners, shaping roadmap priorities with data
• Build analytical frameworks that help product teams make data-informed decisions on new and existing features, from pre-launch sizing to post-launch impact
• Turn ambiguous product questions into concrete analyses and clear recommendations
• Partner with product managers on event tracking plans and instrumentation QA so new features are measurable from day one
• Own A/B tests and feature experiments end to end: hypothesis, power analysis, readout and ship decision
• Raise the bar on how we design, run and learn from experiments across products

AI-Native Analytics & Reporting

• Use AI tools to automate recurring reporting and speed up insight generation
• Build self-serve reporting so product owners can answer their own questions without waiting on the data team
• Find anomalies and data integrity gaps, and fix or elevate them before they reach a decision

Communication

• Present findings to non-technical audiences in clear, concise narratives
• Proactively surface trends and opportunities instead of waiting to be asked
• Mentor other analysts and share best practices across the team

Who You Are

• 5+ years of experience in product analytics, data analytics or a related role with consumer mobile apps or web products
• Advanced SQL: window functions, CTEs, complex joins and query optimization on large datasets
• Hands‑on experimentation experience, including A/B test design, power analysis and statistical testing
• Strong product analytics fundamentals: funnel and cohort analysis, event data and instrumentation
• Daily use of AI tools in your analytics workflow, such as Claude, Claude Cowork or Claude Code
• Working knowledge of Python for analysis
• Comfortable with ambiguity and shifting priorities; you take ownership from question through recommendation
• Strong written and verbal communication skills
• Fluent English and at least 4 hours of overlap with US Eastern business hours (remote roles)

Nice to Have

• Experience with ad‑monetized or subscription consumer apps
• Familiarity with dbt or modern data modeling practices
• Experience with cloud data warehouses on AWS or Google Cloud
• Experience with Amazon Quick or other AI‑powered BI tools
• Experience building AI‑powered or agent-driven reporting workflows