Analytics Working Student - Berlin (m/f/x)

We are Una, a mission-driven company tackling the ever-increasing burden of metabolic disease.

We are combining the latest medical research, data science, biosensor technology, and human-centered design to enable sustainable behaviour change and improve health outcomes.

We have created the first medical-grade digital therapy that sustainably solves metabolic dysfunction.

We are backed by excellent investors such as Atlantic Food Labs, PeakBridge, Plug and Play, and DART Labs, and angels such as the founders of mySugr/9amHealth and Ada Health.

We are a fast-growing team. You will be joining us at a hugely exciting time as we have just launched our fully-reimbursed solution to 9 million people living with type 2 diabetes in Germany. There will be opportunities to shape the direction of the company from the start.

Note: The role requires you to be based in Berlin but is remote-first.

Working closely with our data science lead, you will help us answer analytical questions from other parts of the company like product or sales. You create reports, charts, and dashboards, but also the data models to back them up. Working remotely, you are ready to hit the ground running as we drive towards product-market fit by layering in functionality that improves the health of people living with diabetes. You are comfortable getting your hands on code, expanding your skill set, and explaining technical terms well. You enjoy brainstorming and are up for getting involved across the product development cycle. Most importantly, you are motivated by the potential to improve the health of some of the millions of people that live with metabolic illnesses such as diabetes.

Must have skills

• Experience with SQL (you know how to use CTEs, different kinds of joins)
• Good understanding of probability and statistics (you can use Bayes Theorem to solve a business question, define what population should be used to run a test)
• Experience with Git (you know how to create branches, pull requests)
• Some experience with Python or another programming language
• Ability to work in a team which focuses on knowledge sharing, learning and mentoring
• Good communication skills in English
• Are comfortable working in a fast-paced environment where priorities can (and do) shift from time to time

Desirable

• Some exposure to bash scripting
• Knowledge of HTTP requests and REST APIs
• Experience with Metabase or similar dashboarding tool (e.g. Tableau, Periscope)
• Experience with relational databases (e.g. SQLite, DuckDB, PostgreSQL)
• Familiarity with agile software development
• Interest in growing your skill set

Research shows that there is a Confidence Gap between different groups (e.g., gender, age, ethnicity) leading some to apply when they meet 60% of the criteria, and others only when they check every box. So if you think you have what it takes, but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit.

Our tech stack

We're currently running on:

• Data engineering pipelines: dlt, dbt
• Data warehousing: PostgreSQL
• Dashboarding: Metabase
• Languages: Python
• Meta: GitHub

💪 The opportunity to tackle one of the world's leading health problems

💰 A competitive package with salary and equity potential relevant to experience

🏡 Opportunities for hybrid/remote work

🌴 Unlimited holiday policy with a mandatory minimum

🌿 Budget for co-working space and health and wellness apps

🤸 Healthy work-life balance and flexible working hours

👩‍🏫 Personal growth and training budget

🗺️ An international team

🤝 A network of inspiring peers within our investor networks

Our interview process:

1. Informal introductory call with Data Science Lead Santiago - 30 minutes
2. Take home technical challenge - 4 hours
3. Technical interview - 45 minutes
4. Culture / values fit interview - 30 minutes