Data Analyst Data Enablement

Company Description

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.

Job Description

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.

QualificationsYou 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

Additional Information

Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.

Zone A: USD $125,600 - USD $153,600

Zone B: USD $119,300 - USD $145,900

Zone C: USD $113,000 - USD $138,200

Zone D: USD $106,800 - USD $130,600

To find a location’s zone designation, please refer to this resource. If a location of interest is not listed, please speak with a recruiter for additional information.

Benefits include the following:

• Healthcare coverage
• Retirement Plans including company match
• Employee Stock Purchase Program
• Wellness programs, including access to mental health, 1:1 financial planners, and a monthly wellness allowance
• Paid parental and caregiving leave
• Paid time off
• Learning and Development resources
• Paid Life insurance, AD&D. and disability benefits
• Perks such as WFH reimbursements and free access to caregiving, legal, and discounted resources

This role is also eligible to participate in Block's equity plan subject to the terms of the applicable plans and policies, and may be eligible for a sign-on bonus. Sales roles may be eligible to participate in a commission plan subject to the terms of the applicable plans and policies. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.

We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is a proud equal opportunity employer. We work hard to evaluate all employees and job applicants consistently, without regard to race, color, religion, gender, national origin, age, disability, pregnancy, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.

We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible. Want to learn more about what we’re doing to build a workplace that is fair and square? Check out our I+D page.

Additionally, we consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.