Data Analyst, Product

Favia; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Favia is seeking a Data Analyst, Product to join our remote team. You will own end-to-end data management for the Pro product, turning complex data into clear insights that drive feature development and improve user experience.

As a senior data professional, you will define north star metrics, lead A/B testing, build scalable dbt models and dashboards, and collaborate with leadership to guide product strategy. Fluency in English and experience with finance/data-intensive domains preferred.

Qualifications

• 7+ years experience in data analytics or analytics engineering.
• Experience with trading products in equities, crypto, or related domains.
• Production data pipelines with dbt and Airflow.
• Strong SQL and Python for pipeline development and analysis.
• Experience designing and running A/B tests.
• Led cross-functional data initiatives with measurable outcomes.
• Strong communicator for technical and non-technical audiences.
• Degree in analytical field (engineering/economics/hard sciences).
• Based in US, Canada, UK or EU and fluent in English.

Responsibilities

• Own end-to-end data management from pipelines to dashboards.
• Design and evolve dashboards, north star metrics and analytics frameworks.
• Build data infrastructure at scale with production pipelines.
• Lead experimentation across the Product domain with A/B testing and causal inference.
• Influence data team direction and quality standards.
• Embed AI tooling into workflows with tangible business impact.
• Deliver insights through data storytelling to leadership.

Skills

SQL

Python

A/B testing

Data pipelines

Dashboarding

Data storytelling

Cross-functional collaboration

Education

Degree in software engineering, economics, or hard science

Tools

dbt

Airflow

Job description

The Team

We’re looking for a Data Analyst, Product to join our team remotely. The #1 goal of this role is to turn complex data into clear, actionable insights that improve user experience, support the development of new features, deepen engagement, and help leadership make high-impact product decisions.

You’ll own end-to-end data management from production-grade pipelines and dbt models to dashboards and metric frameworks for the Pro product team. You'll define north star metrics from the ground up, drive experimentation infrastructure through A/B testing and causal inference, and translate results into clear product recommendations. We're actively building a culture where AI tooling is part of how we work, from LLM-augmented pipelines to GenAI-assisted workflows, and we're looking for people who are excited to grow alongside that.

Beyond technical expertise, success in this role depends on being a true business partner who combines data-driven insights with deep knowledge of client retention funnels and user behaviour. You bring experience from environments where data quality has real consequences and where you've had to build the infrastructure, not just use it.

The opportunity

• Operate as a full-stack data analyst within the Pro team, owning your domain completely while collaborating closely with colleagues across the pod.

• Own the design and evolution of dashboards, north star metrics and analytical frameworks that drive decisions at the highest level of the business.

• Build and maintain data infrastructure at scale, from scalable dbt models and production pipelines to full-funnel reporting that powers cross-functional teams.

• Lead experimentation across the Product domain by designing and owning A/B testing frameworks, applying causal inference techniques and turning results into clear, confident recommendations that influence product strategy.

• Influence technical direction across the data team, contributing to how we build, what we prioritise and how we raise the bar on data quality and engineering standards.

• Embed AI tooling into your workflow in ways that have tangible business impact, including LLM-augmented pipelines and GenAI-assisted analytics workflows.

• Deliver insights through clear, data-driven storytelling to technical and non-technical audiences, including senior leadership.

What You Bring

• 7+ years of experience in data analytics or analytics engineering, ideally within fintech, payments, financial market or crypto where data quality and scale are non-negotiable.

• You have hands-on experience with advanced trading products and solutions in equities, crypto, or other assets. You either have a professional background working within financial markets or on a trading desk, or you are a professional trader.

• Hands-on experience building and owning production data pipelines, with strong familiarity with dbt and Airflow or equivalent orchestration tools.

• Full mastery of SQL including complex joins, CTEs and analytical functions, alongside strong Python proficiency for pipeline development and analysis.

• Hands-on experience designing and running A/B tests and experimentation frameworks, with the ability to apply causal inference techniques and translate results into clear growth recommendations.

• Demonstrated experience leading cross-functional data initiatives from design to delivery, with measurable business outcomes you can point to.

• Strong communicator who can simplify complex data ideas for both technical and non-technical audiences.

• A degree in a field emphasising analytical rigour such as software engineering, economics or a hard science.

• Based in Canada, the US, the UK or the EU and fluent in English.

Nice to haves

• Experience with LLM-augmented analytics pipelines or AI-assisted workflows in a production environment

Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis.

Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution.

We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.

Our commitment

We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Results are considered alongside experience and interviews, and are not the sole basis for any employment decision.

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind, whether based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.