Data Analyst

Payward, Inc.
United States
11 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$96,000.0 - $192,000.0
Working hours
Regular working hours
Languages
English

Tech stack

A/B Testing Artificial Intelligence Airflow Data Analysis Data Presentation Python (Programming Language) Operational Databases Software Engineering SQL Databases Large Language Models Analytic Functions Data Analytics
+2 more
Data Management Data Pipelines

Job description

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.

Requirements

  • 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

About the company

Payward - the parent company behind Kraken, NinjaTrader, Breakout, xStocks, Payward Services and CF Benchmarks - has spent the last 15 years building one of the most modern and globally accessible financial infrastructure platforms in the industry, built to advance an open, global financial system., Founded in 2011, Kraken is one of the world’s longest-standing crypto platforms, trusted by over 10 million individuals and institutions across the globe. It offers spot trading, margin, futures, staking, and OTC services, with products built for both individual investors and institutional clients.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.workingnomads.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

54 sec

Generating multiple hook options for outreach A/B testing

Leandro Gomes da Silva Leandro Gomes da Silva · WWC 2025

2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · WWC Europe 2026

1:48 min

Automating exploratory data analysis within training pipelines

Dora Petrella · WWC 2023

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:36 min

Performing exploratory data analysis to uncover underlying patterns

Julian Joseph · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all