Data Engineer/BI & Analytics
Remote, comfortable working in US timezones
Terra.do’s mission is to get 100 million people working on climate by 2030. We are a climate action platform where you join climate communities to find your people, advance your climate learning, build a climate career, start a climate company, and more. We’re rapidly growing, and have raised a substantial seed round from climate investors worldwide.
We’re looking for someone that can own the entire data function at Terra.do, stretching from data engineering through to business insights, analytics and data-driven business decision making. You could be a hard-core data engineer with a desire and some demonstrable experience in stretching into BI and analytics; or, you could be an analytics expert with enough coding experience to own data pipelining, ETL jobs, etc. If this sounds like you, read on!
About the role
In this role, you will:
Build data pipelines and ETL jobs to integrate systems, move data into our warehouse, and flow data into our various operational systems and dashboards
Our stack: JS, Java, Scala, Flutter, Dynamo, AWS everything, Firebase
Own data quality by manually and/or automatically running data reconciliation and troubleshooting data flow issues
Work closely with the engineering team to help them ship product that’s pre-wired to deliver clean data so the business can rapidly make data-driven decisions
Spearhead data-driven decision making across product, growth, and community experience:
Build and manage an impactful analysis pipeline with input from peers in various functions
Own the analysis, coding, and execution
Communicate data-driven insights in a simple fashion to the company
The role reports to the Chief Business Officer, an analytics veteran and former executive leader at several startups like Dashlane, Yext, etc. You’ll of course be working closely with everyone from the CEO to the CTO to product, etc.
What you’d bring
Demonstrable experience building and managing data pipelines and warehouses, with fluency in the full tech stack to effectively partner with engineering
Demonstrable experience generating unbiased, pressure-tested, and actionable insights from massive data sets using whatever tool/language as needed (Excel, SQL, R, Python, whatever is needed)
Attention to detail and desire to understand the underlying reality of the business operations, product mechanics, etc.
Clean and concise verbal/written communication and inclination to work with all teams in the company, to drive action and value from insights
In addition to the above, a few things that will be crucial for you to enjoy working at Terra.do:
An overwhelming passion for addressing and solving the various crises brought on by climate change
Working in a capital R remote environment: We're Hawaii to Hong Kong. There is no home base. Calling a meeting is highly non-trivial. This usually means fantastic documentation, written communication with your teammates, and follow-through. It also means *some* morning/night meetings... a pure 10am-7pm startup schedule is not going to work unf. That said, we recognize that this is a marathon and we keep odd hours to a core minimum.
Be deeply respectful of your co-workers, all of whom come from very different backgrounds, and be highly proactive about resolving issues in an above-board manner. There is no [beer after work/in-person board game night/name your replacement] to smooth things over!
Look forward to hearing from you.