Data Analyst, Financial Analytics

United States; United Kingdom

Chipper Cash

Join over 5 million people securely sending and receiving money with Chipper Cash. Great app to send and receive money across a number of countries, highly recommended as a money transfer alternative.

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Chipper Cash is looking for a Data Analyst, Financial Analytics to join us as we continue our amazing growth trajectory.

Chipper is more than just a mobile wallet, it’s how people send money home to their grandparents for medicine, how parents send money to their children for school books, it’s how the African continent gets connected to the economy worldwide. Our products and business are growing rapidly and we need innovative thinkers and gritty explorers to help us pave the way in exciting areas like cryptocurrency, cross-border transactions, and expanding opportunities for generational wealth through access to the stock market.

Your Mission

Work on the most impactful projects, including the Chipper Cash Data Platform and partner with the business to help us solve complex problems and provide new insights using data.

What You'll Be Doing

In this role you’ll support analytical reporting and data initiatives that power finance and accounting. As part of the analytics team, you will work with key stakeholders to create insights, identify opportunities, and help drive important business decisions.

About Our Tech Stack

Data & Analytics Tech Stack

  • Application monitoring with Datadog, Logz.io, and Datafold
  • ETL tooling using DBT and Fivetran
  • Company-wide business intelligence using Looker, Mode, Metabase, and Retool
  • Telemetry and experimentation using Amplitude
  • Snowflake for data warehousing and querying
  • Python for in-depth data analysis, transformation, and reporting

General Engineering Tech Stack

  • Node.js + Typescript service-based architecture
  • React Native Android/iOS application
  • PostgreSQL application databases
  • RabbitMQ for inter-server communication
  • Server hosting on Heroku and Google Cloud Platform
  • Fully automated CI/CD using Heroku CI and Github

What You Should Have

  • 2+ years' work experience as a data analyst, subject matter expertise in finance and/or accounting is a big plus 
  • Proficient with SQL and querying data warehouses like Snowflake
  • Experience working in BI tools such as Looker, Tableau or Qlikview and experienced in creating meaningful visualizations for business users
  • Great communication and people skills. You’re able to translate business problems into analytical solutions and communicate information, ideas and concepts clearly and with empathy for our users and colleagues
  • A proactive, curious, and self-driven mindset. You follow through on items without being micromanaged when given appropriate direction. If something doesn’t look right, you dig deeper and ask why?
  • You’re an organized person that can plan, organize and manage timelines effectively

What We Would Love to See

  • Experience transforming raw data with ETL tools such as dbt or Fivetran
  • Experience writing in Python

Next Steps

If you feel you are a fit, please apply because we would love to hear from you. It means a lot to us that you have taken the time to read through our job description so thank you so much for your time. We wish you all the best in your job search.

We hire candidates of any race, color, ancestry, religion, sex, national origin, sexual orientation, gender identity, age, marital or family status, disability, Veteran status, and any other status. Chipper Cash is proud to be an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chance Ordinance. 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Amplitude Business Intelligence CI/CD Data analysis Data Warehousing Engineering ETL Finance FiveTran GCP GitHub Google Cloud Looker Metabase Node.js PostgreSQL Python QlikView React Snowflake SQL Tableau TypeScript

Regions: Europe North America
Job stats:  6  0  0
Category: Analyst Jobs

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