Senior Data Analyst

Eightpoint; Brasil; Remote; BRL 120,000 - 180,000; Part time

Job summary

Eightpoint is seeking a Senior Data Analyst to join our Data Analytics team and own product analysis for mobile apps and Wave Browser. This hands-on role emphasizes translating questions into actionable insights, with AI-driven tooling and close collaboration with product, marketing, and engineering to inform decisions.

You will lead analytics frameworks, run end-to-end experiments, and build self-serve dashboards to empower product owners while maintaining data integrity and clear narratives

Qualifications

• 5+ years in product analytics or data analytics roles with consumer apps or web products.
• Advanced SQL: window functions, CTEs, complex joins and query optimization.
• Hands-on experimentation: A/B test design, power analysis and statistical testing.
• Strong product analytics fundamentals: funnel/cohort analysis, event data and instrumentation.
• Daily use of AI tools in analytics workflows.

Responsibilities

• Own product analytics across mobile apps and web products, guiding roadmap with data.
• Lead end-to-end experimentation including hypothesis formation and readouts.
• Build self-serve, AI-assisted reporting to enable product owners to answer questions.
• Detect anomalies and data integrity gaps and drive fixes with the team.
• Present findings to non-technical audiences and mentor analysts.

Skills

SQL proficiency

Experimentation

Python for analysis

AI-powered analytics

Data storytelling

Cloud data warehouses

Communication

Product analytics

Tools

dbt

AWS

GCP

Job description

Senior Data AnalystRemote (Contract)

Eightpoint is a global multi-platform application development company. We focus on building highly effective digital offerings that can maximize value for our advertisers, publishers, partners, and users. Eightpoint operates in multiple different product lines on a global landscape. We have products that include mobile applications, browser extensions, desktop apps, digital media, and digital advertising; we also partner with top-tier companies and are currently Yahoo's #2 partner for driving traffic. These diverse mobile and web solutions allow advertisers to optimize for a highly targeted audience reach. Combining best-in-class industry expertise and consumer interests with proprietary big-data insights, we develop fine-tuned apps that offer optimal user engagement at scale.

We are looking for a Senior Data Analyst to join our Data Analytics team and own product analysis for our mobile apps and Wave Browser. You will be the go-to analyst for product owners, helping them understand how users discover, adopt and stick with our products, and turning that understanding into clear decisions. 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

• Own product analytics across our mobile apps and web/browser products: activation, feature adoption, onboarding drop-off, engagement and retention
• 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

Experimentation

• 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 upscale 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 HaveExperience with ad-monetized or subscription consumer apps
• Familiarity with dbt or modern data modeling practices
• Experience with Android apps, browsers or browser extensions
• 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