As one of the largest and most trusted digital asset platforms globally, we are empowering people to experience the life-changing potential of crypto. Trusted by over 8 million consumer and pro traders, institutions, and authorities worldwide – our unique combination of products, services, and global expertise is helping tip the scales towards mass crypto adoption. But we’re only just getting started. We want to be pioneers in crypto and add value to the everyday lives of billions. Now is not the time to sit on the sidelines. Join us to bring crypto to the world.
To ensure Kraken is the right fit for you, please ensure you read Kraken Culture Explained to find out more about us!
Position:Finance Data Analytics Manager
Employer Corporate Address: 237 Kearny St. Ste. 102, San Francisco, CA 94108
Worksite: Saratoga, CA (Telecommuting is permitted from any location in the US).
Duties: The Finance team is a group of specialists charged with managing the firm’s liquidity, capital and risk and providing the overall financial controls and reporting functions for executive decision making, compliance and audit readiness. Our work contributes directly to the company’s success. The platform accounting and analytics department (PAA) within Finance supports the vision and mission of finance through use of data and analytics. The PAA department within Finance is looking for an excellent data analytics manager who will work closely with the director of PAA and other directors within the Finance function to build and manage a cohesive strategy to enhance the consumption of data and analytics to support the objectives of finance function and inturn contribute to the mission of the company. This is an exciting opportunity to be at the forefront of a rapidly expanding industry and contribute to the building of the new global financial system.
Build out Finance analytics and management reporting dashboards by collaborating closely with Finance 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 finance data infrastructure Lead the definition of data requirements and controls to enable the integrity of the finance analytics and management reporting Drive projects and initiatives for assessment of current the company’s data and process infrastructure to support finance objectives. Lead a team of finance data analysts to support the finance data analysis and reporting requirements. Build and maintain knowledge repository and technical documentation libraries for finance data lake and reporting. Run standup, workgroup meetings, identifying action items and addressing blockers to keep projects on track.
Minimum education required: Master’s degree or equivalent in Computer Science or Management Information Systems or related.
Minimum experience required: 4 years in the job offered or a related occupation.
Minimum skills required:
Experience in data warehouse technologies or relevant data modeling best practices.
Experience in finance operations, management reporting or regulatory reporting.
Experience using data wrangling tools or scripting languages Python, or SQL.
Experience using data visualization tools Tableau, Power BI.
Experience using project or workstream management tools Wrike, Confluence, Jira, or Tenacious.
The employer will accept any amount of experience in the skills listed above.
Please send resume to [email protected] and include reference number 101482 in the subject-line.
We’re powered by people from around the world with their own unique and diverse experiences. We value all Krakenites and their talents, contributions, and perspectives, regardless of their background. 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.