Block is Square, Cash App, Spiral, TIDAL, TBD, and our foundational teams such as Counsel, Finance, and People that provide guidance at the corporate level. These are our building blocks, united by our shared purpose of economic empowerment. Together we’re creating tools to help expand access to the economy.

Square helps sellers more easily run and grow their businesses with its integrated ecosystem of commerce solutions, business software, and banking services.

Cash App is focused on redefining the world’s relationship with money by making it more relatable, instantly available, and universally accessible.

Spiral (formerly Square Crypto) builds and funds free, open-source projects that advance the use of Bitcoin as a tool for economic empowerment.

TIDAL is a global platform for musicians and their fans that uses unique content, experiences, and services to bring fans closer to the artists they love and give artists the tools to succeed as entrepreneurs.

TBD is building an open developer platform to make it easier to access Bitcoin and other blockchain technologies without having to go through an institution.

Together, we’re working to help our diverse audiences — sellers, individuals, artists, fans, developers, and all the people in between — overcome barriers to access the economy.

As the Finance Data Analyst in the data enablement, you will help establish data-driven decisions, with understanding of the people, process & technology across departments.

Insights from data power most decisions at Block. This Finance Data Analyst role will work with partners across finance, product, data engineering, and infrastructure to analyze data from all parts of our business to power financials made at Block. Our trajectory is defined by the systems, tools, and analytics powered by our team.

You will ensure that the business teams make sound financial decisions by providing them reliable and on time data. Whether modeling business scenarios or tracking performance metrics, you will promote strategic company decisions. You will work on multiple projects at a time, focusing on the details while finding creative ways to solve challenges.

You will:

• Identify and design internal process improvements in the finance & strategy organization: designing and developing reports and dashboards, automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability
• Develop insights around important finance and operating metrics that help our business and product teams make strategic decisions
• Build predictability and statistical confidence into the growth of our business (both revenue and costs) and continue building a data-driven culture within the finance & strategy organization
• Power quick decisions by using our vast datasets (Big Query, Snowflake)
• Work with engineering partners to design data pipelines that help organize data towards a single source of truth.
• Partner with Product, Marketing, Engineering, and Operations teams to help resolve broader problems, create growth plans, establish financial and operating targets and determine resource requirements.

You Have:

• 4+ years of experience working in product analytics or product data science
• 2+ years of work experience in finance and business analysis with statistical experience in a quantitative field such as mathematics, statistics, engineering, or natural sciences (or equivalent experience)
• Expert level SQL skills
• Proficient in Gsheet / Excel (can perform complex functions) and experience with visualization tools, i.e Looker/Tableau or equivalent
• Experience communicating data-driven insights to leaders
• Experience in financial analysis and business modeling in the high-tech industry
• Familiarity with either Python or R programming languages is a plus
• Experience with statistical analysis is a plus

Tools we use:

• Reporting Tools - Tableau and Looker
• Database - Snowflake, GCP, AWS
• Integration Tools - Fivetran, Workato, Mulesoft
• Schedulers - Airflow