Jobs in Germany

  • Berlin

  • 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 60 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

    As a Senior 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 contribute to the growth of our organization by mentoring and guiding associate data professionals and sharing your knowledge and expertise to foster their professional development. Furthermore, you will responsibly stay abreast of the latest industry trends and technologies, continuously nurturing your skills and providing thought leadership and support within our company.

    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.

    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:

    • 2 or more years 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 or 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 17 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 Initial Conversation
    3. Hiring Test
    4. Interviews with 3 future colleagues
    5. Reference calls
    6. Offer + Hired

    Application form

    Apply for the job by filling the job application form with your details

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