Part 1: Introduction

Welcome! This guide is intended to help illuminate the job search in climate tech for data analysts, data scientists, and data engineers. While there are many resources that describe the qualifications and work responsibilities for each of these roles for tech more broadly, we think that it's useful to paint a picture of how each of these roles manifest in climate tech, and share specific learnings for this domain.

This guide is intended to be a crowd-sourced living doc, from the collective experience of people who work in data in climate or are going through this job transition, which community members should definitely contribute to. In particular, if you're currently working in climate, we'd love to hear about your work in "Spotlights/profiles" under one of the job profiles in Part 2. Part 3 ("Steps To Getting a Data Job in Climate") is very much still under construction and can benefit from your experiences and advice as job seekers and job holders!

We've loosely based this doc off General Assembly's The Absolute Beginner's Guide to Getting a Job in Tech. Similar to the GA handbook, we'd love to expand this into a guide for all kinds of jobs in climate, but we're starting out with data since this is the field the initial authors are most familiar with. If you'd like to take up the torch and build out this doc for additional types of jobs, you are more than welcome to.

Part 2: Landscape of Data Jobs in Climate

This section helps current folks working in data understand the landscape of jobs in climate. What specific problems/domain spaces hire for each role? What's the demand for each role? Can we learn from quick spotlights/profiles from folks currently working in the field?

Data Analyst

What it is

Data analysts take an organization's data and generate insights, trends, forecasts, and other key analyses to help make data-driven decisions. This work tends to focus on internal reporting and visualization of insights so stakeholders can make informed calls (whether in Excel, BI tools like Tableau, or SQL/Python), in contrast to data work that is "in production" (i.e. is directly incorporated into the product and will be seen by users).

Career prospects & domains

Some trends we've observed are:

Some things you might do as a Data Analyst in Climate: