Junior Data Analyst

We are Gemma Analytics: a Berlin-based company specializing in generating insights in high-performance data infrastructure. Gemma was founded in early 2020 by two data enthusiasts. Ever since we have helped over 70 companies to become more data-driven and successful. We have a fun, honest, and inclusive work environment. We are always looking for data-minded people we can learn from.

Tasks

About the Job

As one of our junior data analysts, you play a critical role in helping our clients to generate business value out of their data. By collaborating with clients, you find practical solutions to problems.

This role is exciting as you will gain end-to-end experience: from raw data in the Data Warehouse to communicating with and helping stakeholders connect the dots. You will gain valuable experience in more technical topics and in more business-facing topics such as data consulting by working with talented senior colleagues.

You have the opportunity to work on interesting problems while helping startups, scaleups, and SMEs.

Working with multiple clients, we are in touch with many technologies, which is truly exciting. We use state-of-the-art technologies while being fully pragmatic (we do not crack a walnut with a sledgehammer). We follow an ELT philosophy and divide the tasks between Data Engineering and Analytics Engineering accordingly.

Technologies you’ll use

Working with multiple clients, we are in touch with many technologies, which is truly exciting. We use state-of-the-art technologies while being fully pragmatic (we do not crack a walnut with a sledgehammer). We follow an ELT philosophy and divide the tasks between Data Engineering and Analytics Engineering accordingly.

The following technologies constitute our preferred data tech stack:

Data Loading

• For our clients, we either use a scheduler (e.g. Apache Airflow or Prefect) and run Python DAGs with it - we also like to work with dlt as a framework
• For standard connectors, we work with Fivetran or Airbyte Cloud preferably

Data Warehousing

• For smaller data loads, we mostly use PostgreSQL databases
• For larger datasets, we mostly work with Snowflake or BigQuery

Data Transformation

• We love to use dbt (data build tool) since 2018 - we can also work without it, yet we are fans
• It is important to us that we work version-controlled, peer-reviewed, with data testing, and other engineering best practices

Data Visualization

• For smaller businesses with < 100 FTE, we mostly recommend Metabase or Superset as a powerful open-source reporting tool
• For specified needs and a centralized BI, we recommend PowerBI or Tableau
• For a decentralized, self-service BI with more than 50 users, we recommend Looker, Holistics, or ThoughtSpot
• We are always on the lookout for new tools, at the moment we are excited about Lightdash, Omni, dlt, and other tools

Requirements

We believe in a good mixture of experience and upside in our team. We are looking for both types of people equally. For this junior role, we are looking for people with curiosity, openness to learn, and a structured approach to complex problems. Both your clients and colleagues enjoy working with you because you have a positive attitude, and can communicate empathically.

Besides that we are looking for the following:

• First experience in generating insights from data (either Python or SQL)
• Excellent problem-solving skills and the ability for critical thinking and reflection
• Strong interpersonal and presentation skills, with the ability to explain complex concepts to technical and non-technical stakeholders
• A business mindset understanding stakeholder needs and being able to translate them into actions
• Business Fluency (C2 or native) in German and English

Benefits

We are located in Berlin, close to Nordbahnhof. We are currently 15 colleagues and will grow to 23 colleagues in the next 12 to 18 months. Other perks include:

• We are a hybrid company that meets in the office twice a week - one common office day and one flexible day
• We allow for intra-EU workcations for up to 3 months a year (extra-EU workcations also if this is allowed)
• We have an honest, inclusive work environment and want to nurture this environment
• We don’t compromise on equipment - a powerful Laptop, extra screens, and all the tools you need to be effective
• We will surround you with great people who love to solve (mostly data) riddles
• We believe in efficient working hours rather than long working hours - we focus on the output rather than the input
• We learn and share during meetups, lunch & learn sessions and are open to further initiatives
• We pay a market-friendly salary and we additionally distribute at least 20% of profits to our employees
• We are fast-growing and have technology at our core, yet we do not rely on a VC and operate profitably
• We have a great yearly offsite event that brings us all together for a full week, enjoying good food, and having a good time (2021: Austria, 2022: Czech Republic, 2023: Germany)

How you’ll get here

1. CV Screening
2. Phone/Coffee/Tea Conversation
3. Take home task
4. Interviews with 3 future colleagues
5. Reference calls
6. Offer + Hired

Looking forward to your application :)

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Zuletzt aktualisiert am 19.04.2024