Analytics Engineer - Finance

Kraken WorkFromHome

Stellenbeschreibung:

Analytics Engineer – Finance at Kraken

Building the Future of Crypto

Our Krakenites are a world‑class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology.

What makes us different?

Kraken is a mission‑focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the Kraken Culture page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app.

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages.

Join Our Data Platform Team

We are seeking a talented Analytics Engineer to play a crucial role in our innovative Data Platform team. As an Analytics Engineer, you’ll transform terabytes of data into actionable insights, enabling us to stay ahead in the ever‑evolving cryptocurrency landscape. You’ll work on Finance data, building data products for various Finance and analytics teams, leveraging your Finance background and analytics engineering skills.

The Opportunity

Build dynamic data visualizations to aid management decision support.
Perform data analysis and investigation related to finance use cases and liaise with cross‑functional groups to resolve issues.
Build scalable and reliable data pipelines that collect, transform, load, and curate data from internal systems and databases.
Augment platform data with pipelines from select external and internal systems.
Support design and deployment of a finance data lake that will be a central source of truth for finance functions reporting and analysis needs.
Develop automation to drive data solutions as near real‑time as possible.
Evaluate new technologies and build prototypes for continuous improvements in finance data analytics operations.
Additional duties and responsibilities as assigned.

Skills You Should HODL

4+ years of work experience in relevant fields (Data Engineer, Analytics Engineer, DWH Developer, Data Analyst, etc).
Proficiency in a major programming language (e.g., Scala, Python, Golang).
Experience with data warehouse technologies and relevant data modeling best practices (Presto, Athena, Glue, etc).
Experience building data pipelines/ETL and familiarity with design principles; Apache Airflow is a big plus.
Mastering ELT concepts with DBT or similar analytics engineering frameworks.
Experience with finance operations, management reporting and regulatory reporting.
Proficient with data wrangling tools and scripting languages (e.g., Python, SQL).
Excellent SQL and data manipulation skills using common frameworks like Spark/PySpark.
Proficient working with APIs and data querying languages for data modeling and analysis.
Working knowledge of project and workstream management tools such as Wrike, Confluence, Jira.
Experience with business requirements gathering for data sourcing.

Nice to haves

Experience in fintech, banking, or Web3 industry.
Experience with cryptocurrencies and knowledge of blockchain technology.
Proficiency with data visualization tools (Tableau, Power BI, etc).
Experience working with Kubernetes or Docker.

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.

As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind.