Senior Data Analyst

Eightpoint; Brasília; Remote; BRL 180,000 - 360,000; Full time

Job summary

Eightpoint is seeking a hands-on Analytics Lead for an AI-native environment. You will partner with product, marketing and engineering to shape roadmaps with data, build frameworks for feature decisions, and turn questions into concrete analyses.

You will own experimentation, event instrumentation, and end-to-end reporting, leveraging SQL, Python and AI tools to accelerate insights for product teams and stakeholders.

Qualifications

• 5+ years in product analytics, data analytics or related role with consumer apps/web products.
• Advanced SQL skills including window functions, CTEs, joins, optimization.
• Hands-on experimentation experience: A/B design, power analysis, stats testing.

Responsibilities

• Act as analytics partner for product owners, shaping roadmap with data.
• Build analytical frameworks to inform feature decisions from sizing to impact.
• Turn ambiguous questions into concrete analyses and clear recommendations.
• Own event tracking plans and instrumentation QA for measurability from day one.
• Own end-to-end A/B tests and experiments, from hypothesis to readout and ship decision.
• Rise to improve reporting through AI-powered automation and self-serve analytics.

Skills

5+ years experience

Advanced SQL

Experimentation

Product analytics

Python

English fluency

Ambiguity tolerance

Communication

Tools

dbt

AWS

Google Cloud

Claude

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

• 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

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