Senior Finance Data Analyst

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.

Learn how to create a Kraken account here.

As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space.

Kraken is committed to industry-leading security, crypto education, and world-class client support through our products like Kraken Pro, Kraken NFT, and Kraken Futures.

Become a Krakenite and build the future of crypto!

Proof of Work

The Team

Our finance team consists of a group of specialists who are entrusted with the critical responsibility of safeguarding and enhancing the firm's value.

We excel at managing liquidity, capital, and risk while providing robust financial controls and reporting functions to support executive decision-making.

Our collective efforts directly contribute to Kraken's ongoing success.

The finance transformation team plays a pivotal role in aligning with the finance organization's mission and objectives. We are dedicated to developing innovative and agile financial processes, promoting greater flexibility, resilience, and operational effectiveness.

Our focus is on crafting transformation strategies that encompass end-to-end processes, resulting in the implementation of next-generation systems and analytical solutions to optimize finance operations.

Collaboration lies at the core of our team's approach. We work closely with various departments within Kraken, including corporate development, business operations, product, engineering, HR, business systems, and all internal finance functions (accounting, tax, treasury, and FP&A).

By fostering a holistic vision and collaborative program development, we strive to execute impactful transformational initiatives and seamlessly integrate new products and processes.

The Opportunity

The Finance Transformation team is looking for a skilled data analytics senior who will closely work with the Finance Data Analytics Manager to enhance the consumption of data and analytics to support the objectives of the finance function.

This is an exciting opportunity to be at the forefront of a rapidly expanding industry and contribute to the building of the new financial system.

• Build dynamic data visualizations aid management decision support
• Perform data analysis and investigation related to finance use cases and liaise with cross-functional groups to resolve issues
• Ensure high data quality, integrity and auditability in the data analysis and reporting operations
• Build scalable and reliable data pipeline that collects, transforms, loads and curates data from internal systems and databases
• Augment platform data with data pipelines from select external and internal systems
• Support design and deployment of finance data lake that will be central source of truth for finance functions reporting and analysis needs
• Develop automation as feasible to drive data solutions to be as near real-time as possible
• Evaluate new technologies and build prototypes for continuous improvements in finance data analytics operations

Skills You Should HODL

• Minimum of Bachelor's degree in Computer Science or MIS with 5+ years relevant experience or Masters degree in Computer Science or MIS with 2+ years of relevant experience
• Experience with data warehouse technologies and relevant data modeling best practices
• Experience with finance operations, management reporting and regulatory reporting
• Proficient with data wrangling tools and scripting languages (e.g. python, SQL etc.)
• Proficient with data visualization tools (e.g. Tableau, Power BI etc.)
• Proficient working with API's and data querying languages for data modeling and analysis
• Working knowledge of project and workstream management tools such as Wrike, Confluence, Jira
• Experience with writing business requirements and technical documentation

Nice to Haves

• Experience in fintech or banking industry is preferred
• Experience with crypto currencies and knowledge of blockchain technology is preferred

LI-Remote #USCANEU #LI-NT1

This job is accepting ongoing applications and there is no application deadline.

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.

Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives.

We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job.

We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto!

As an equal opportunity employer, we don't tolerate discrimination or harassment of any kind. Whether that's 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.

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