Data Analyst, Product

Electric Capital; United States; Remote; USD 96,000 - 192,000; Full time

Benefits offered by this job

Equity

Bonus program

Wellness allowance

Job summary

P2P is looking for an experienced data analyst to oversee the design of dashboards and product metrics. This role involves automating product data solutions and working with large datasets to enhance reporting and analytics. Candidates with 7+ years of experience in data analysis, strong SQL and Python skills, and a degree in a relevant field are encouraged to apply. The position is remote and is open to applicants based in the US or other listed countries.

Qualifications

• 7+ years of data analysis experience with deep knowledge of product KPIs.
• Expertise in SQL and strong Python proficiency.
• Hands-on experience designing and running A/B tests.

Responsibilities

• Own the design of dashboards and product metrics.
• Automate reporting workflows to boost efficiency.
• Turn findings into scalable data models.

Skills

Data analysis

Product KPIs

SQL

Python

Data visualization

A/B testing

Communication

Education

Degree in analytics, software engineering, or economics

Tools

dbt

Airflow

Job description

Location

United States

Employment Type

Full time

Location Type

Remote

Department

Engineering, Data Analytics

Compensation

• $96K – $192K • Offers Equity • Offers Bonus

This range is not inclusive of other additional compensation elements, such as our Bonus program, Equity program, Wellness allowance, and other benefits (US Only).

Responsibilities

• Own the design of dashboards, product metrics, and performance reports, turning data into actionable insights for stakeholders, cross‑functional partners, and product teams.
• Automate product data solutions, reporting workflows, and pipelines to boost efficiency and minimize manual intervention.
• Dive into large, complex datasets to turn findings into scalable data models that facilitate full‑funnel reporting, analytics, and ML models.
• Translate product and business requests into accurate reports and automated data pipelines using Python, SQL, dbt, and Airflow.
• Lead cross‑functional projects with analysts, engineers, and product teams to build and maintain high‑quality data pipelines and sources.
• Drive experimentation infrastructure by leading the design and launch of A/B testing frameworks, testing hypotheses, and translating results into clear product recommendations.
• Support ad‑hoc data requests for feature performance, user onboarding, product reviews, and day‑to‑day business needs.
• Deliver insights that shape product direction through clear, data‑driven storytelling.

Qualifications

• 7+ years of data analysis experience with deep knowledge of product KPIs, full‑funnel performance, and the ability to connect marketing and product insights to drive business growth. Fintech or crypto background is a plus.
• Product instinct: ability to turn data into decisions and connect the dots between user behaviour and business impact.
• SQL mastery, including complex joins, CTEs, and analytical functions. Strong hands‑on Python proficiency is equally important.
• Familiarity with dbt is a welcomed advantage, though not a strict requirement.
• Experience setting up and managing data pipelines with a strong understanding of workflow orchestration.
• Hands‑on experience designing and running A/B tests and experimentation frameworks with the ability to translate results into clear growth recommendations.
• Capable of creating intuitive dashboards and visualizations to communicate complex insights clearly.
• Strong communicator who can simplify complex data ideas for both technical and non‑technical audiences.
• Aligned with Kraken’s core values.
• A degree in a field emphasizing analytical rigor such as analytics, software engineering, or economics.
• Based in the US, Canada, UK, Germany, Spain, Cyprus or Portugal with flexibility on working hours to support a globally distributed team.

Nice to Haves

• Deep interest in improving user experiences through better product analytics and experimentation.
• Passion for continuous learning and a beginner’s mindset.
• Solid understanding of the cryptocurrency space and how financial markets function.

Kraken is an equal opportunity employer. We consider qualified applicants with criminal histories for employment in a manner consistent with the San Francisco Fair Chance Ordinance.