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 a Data Analyst, your mission is to empower businesses with data-driven insights and strategies that propel their growth and success. You do not accept a solution, but ask for the “Why?”. You will play a pivotal role in transforming data into actionable insights, enabling our clients to make informed and trusted judgments and gain an advantage in their respective industries.
In addition to that, you will responsibly stay abreast of the latest industry trends and technologies, and continuously nurture your skills.
By embracing this mission, you will help businesses unlock the potential of their data, driving tangible results, sharing your knowledge with colleagues, and enthusiastically nurturing decision-making in a rapidly evolving digital landscape.
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. For this role, related experience is required in addition to a proof of trajectory.
Besides that we are looking for the following:
- 1 or more year of experience as an analyst in a fast-paced environment driving projects and business insights
- 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
- Proven ability to manage multiple projects, meet deadlines, and adapt to changing priorities
- Ability to leverage both SQL and visualization tools to generate insights for our clients
- Business Fluency (C2 or native) in German and English
- Preferred: You managed to bring a data science model to production
- Preferred: You have strong expertise in one or more core functional data areas (e.g. product/marketing/operational/etc.)
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
- CV Screening
- Phone/Coffee/Tea Initial Conversation
- Hiring Test
- Interviews with 3 future colleagues
- Reference calls
- Offer + Hired
•
Zuletzt aktualisiert am 19.04.2024