Data Analyst (impact team)
Since the Paris Agreement, global banks have poured a staggering $6.9t into the fossil fuel industry. At Bank.Green, our mission is to lower this vast carbon footprint via technology and consumer action. We empower bank customers with the tools and insights they need to influence their banks towards sustainable lending, or switch to greener alternatives. To date, our bank-checking tool has been used over 500,000 times by bank customers worldwide, while we have shifted a at least $50,000,000 towards banks who are financing a greener future.
Through transparency, engagement, and innovation, we aim to redefine the role of banks in the fight against climate change.
Role Overview
Bank.Green is seeking a data analyst to help predict banks’ financed emissions and otherwise help analyze Bank.Green’s impact. This work involves analyzing correlations in bank data (in JSON and tabular format), Google analytics data, and gathering data from the web to supplement the information we already have available. The team’s current project is to predict CO2 emissions based on a wide array of data points.
Ideal candidates will be in Western European or Central/Western African timezones.
You do not need to have previous experience as a data scientist to join this team but you do need to have a firm grasp of MS Excel, statistical correlation, and causality. You also must be friendly and consistent in your work.
Commitment
This role is unpaid and volunteer-based. We are seeking a commitment of 10-20 hours per week. We are looking for somebody to come on long-term, for at least a 6 month commitment.
Responsibilities
Gather data on banks, either from internal teams and databases at Bank.Green or from online resources
Use statistical techniques to infer missing data, predict CO2 emissions
Present results in presentations or written documents
Attend data meetings and discussions (Fridays at 5pm CET/CEST)
Qualifications
Proficiency in Excel
Familiarity with statistics
Familiarity with Python Pandas (recommended)
Experience with Power BI (welcome)
Interest in working asynchronously with colleagues in different time zones - through Slack, MS Teams, or similar
Good communication and teamwork abilities
Passion for sustainability and environmental advocacy