Braintree builds products that make payments easier—so easy that they fade into the background, making entirely new kinds of interactions possible. The Braintree full-stack payment platform lets companies build their own experiences and then scale their businesses around the globe. We're known for our technology but we're also known for our support, with internal risk and underwriting, account management and technical support teams who ensure a frictionless payments experience.

Acquired last year by PayPal, Braintree is now in an even greater position to change the way people pay. We recently launched v.zero, a new SDK that enables processing of all payment instruments and platforms in a single code path. Headquartered in Chicago, Braintree has offices in San Francisco, New York, Sydney, Singapore, and London with employees stationed around the world.

We are seeking a technical data analyst to support our Finance team. The team is comprised of both accountants and analysts and works across multiple offices, business units, and companies. You will be the boots-on-the-ground, go-to data person working with us here in Chicago to help produce analytics, insights, automations, and general solutions for all facets of the team.

You should be a reliable, creative, detail-oriented, independent thinker with a good sense of humor who’s ready to learn, teach, and ship great work. This is a full stack data and analytics role.  You’ll be helping us to build both ad hoc and scalable data products to meet the needs of this distributed and diverse team.  If you’re the type of person that is looking to have your fingerprints on a lot of base-level stuff, this is your chance. No “just do it this way because someone 10 years ago said so”-type nonsense.

You should be comfortable working with raw, data to develop a full understanding of our business.  Be prepared to learn quickly and independently, listen well, and ask a lot of questions. You should also have previous business/finance analytical research and reporting experience. Familiarity with basics of revenue reporting, financial reconciliation, and other related concepts are keys to success in this role.

While our Finance team is distributed across the country, you’ll work in Chicago as part of a larger, federated data team. We’re here to support and teach you as you develop into a one-person consultancy of data awesomeness.


Responsibilities:

• Getting the Finance team timely, high-quality data for all cyclical and one-off requests

• Query multiple data sources to generate standardized reports; ensure timely delivery of the reports with consistent quality.

• Execution of analytical and operational projects that require strategic perspective, sound business judgment, deep analytical capabilities, and collaborative working style.

• Continuing improvement of reporting infrastructure/processes (more timely data availability, automation, documentation).

• Constructing data visualizations for presentations and critical information sharing.

• Creating and maintaining key documentation to support all standardized data resources.

• Previous experience that speaks to your consultative approach and ability to adapt to change and work across teams.

• General business metrics (familiarity with common model structures, analytic techniques, etc.).

• Familiarity with Salesforce/CRM and reporting systems strongly preferred.

• Advanced Excel / spreadsheet user (or strong skills with similar types of tools)

• A qualified candidate has a strong grasp of SQL as it pertains to analytics -- complex joins, temp tables, views, window functions, etc. -- but does not need to be a DBA or engineer. You should be very comfortable manipulating data in SQL, and you will be evaluated on SQL proficiency during the interview process.

• Python / R / Linux experience preferred but not required.

• Testing/QA skills to ensure thoroughly accurate work.

• 3+ years experience in a previous data-centric position (we’re not title-/credential-obsessed...if you think this describes you let us know why!).

• Must be a critical thinker who holds efficiency in the highest regard.

• Must be a self-starter but able to collaborate across teams company-wide