Data Analytics Lead - San Francisco

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.

As a fully remote company, we have Krakenites in 60+ 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!

Job Location: 100 Pine Street, Suite 1250 PMB B297, San Francisco, CA 94111

This is a fully remote role. We are looking for a data analytics lead who will play a key role in driving decision making in building cutting-edge products at kraken. You will transform large datasets from complex systems, generate actionable insights and share the results with stakeholders at all levels of the company. You will partner and lead projects with product management, engineering, client engagement, finance and other enterprise level teams. You are a self-starter, results driven and passionate to drive success of products at kraken using the power of data analytics.

Responsibilities: Build out analytics and management reporting dashboards by collaborating closely with directors and cross-functional teams to infuse analytics insights into major business priorities and enable data-driven decisions partner closely with data engineering and enterprise systems team to define, plan, implement and support the data infrastructure lead the definition of data requirements and controls to enable the integrity of the companies analytics and management reporting drive projects and initiatives for assessment of current kraken’s data and process infrastructure to support team objectives. Lead a team of data analysts to support the data analysis and reporting requirements within the company build and maintain knowledge repository and technical documentation libraries for data lake and reporting. Run standup, workgroup meetings, identifying action items and addressing blockers to keep projects on track. We’re powered by people from around the world with their own unique backgrounds and experiences. We value all Krakenites and their talents, contributions, and perspectives.

Minimum education required: Master’s degree or equivalent in computer science, MIS or related.

Minimum experience required: 4 years of experience in the job offered or in a related occupation.

Skills required: Must have experience with: DATA WAREHOUSE TECHNOLOGIES OR RELEVANT DATA MODELING BEST PRACTICES; DATA VISUALIZATION TOOLS (E.G. TABLEAU OR POWER BI); DATA WRANGLING TOOLS OR SCRIPTING LANGUAGES (E.G. PYTHON OR SQL); PROJECT AND WORKSTREAM MANAGEMENT TOOLS (E.G. WRIKE, CONFLUENCE OR JIRA). Employer will accept any amount of professional experience with the required skills.

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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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