The role

We are seeking a data enthusiast with strong acumen for fostering self service analytics in our organisation. The role, based in Zenjob Headquarters in Berlin gives a strong opportunity to exhibit skills to automate and streamline business intelligence processes. Are you a strong enthusiast of the vision of an optimised, catalogued data infrastructure, with a focus on enablement of autonomous research and a data mesh organisation ? Then the role is for you !

Zenjob is on the mission to become the digital staffing platform delivering companies best staffing experience with the highest flexibility and reliability, and workers the best choice and fair pay for side jobs. Our service is available in over 39 cities in Germany. Our growth financing round of $50 million (€45 million) from February 2022 is helping us to scale our platform and add new data-based automation features for our rapidly growing customer base.

What You’ll Be Doing

• Empower business users with self-service analytics through intuitive data products and knowledge democratization
• Training users on selection and usage of data visualization tools based on use cases.
• Full scale implementation of data literacy programs focusing on enablement of self service within wider groups
• Work closely with our data engineering team to support high quality data models
• Assist in collecting and analyzing data from various sources, including customer databases, market research, and operational performance using Cataloging tools 
• Be Responsible for designing, building, and maintaining the analytics infrastructure that allows for the efficient extraction and analysis of data to drive business decisions
• Creating optimized data models in collaboration with the data engineering team.
• Analyze  tools for enhanced self service with features such as text to SQL modeling

What You’ll bring

• 5+ years of relevant experiences as a data analyst or analytics engineer.
• Good conceptual understanding of the data lifecycle management processes such as data ingestion, data extraction, data transformation, data modeling etc.
• Being familiar with the Data Mesh principles and their practical implications will be a big plus
• High proficiency in querying and modeling data using SQL. Good to have experience with tools like DBT
• Hands-on experience in cloud-based data tech stack
• Extensive experience using different data visualization and reporting tools like Tableau/Indicative.
• Translate business questions into analytical requirements by understanding business goals, relevant processes and available data.
• Great communication skills in stakeholder management from diverse backgrounds
• Experience weaving data analysis into clear, concise narratives for diverse audiences
• Experience with product analytics tools (eg. Indicative, Amplitude) and customer data platforms (CDP) like Segment, mParticle or Heap

What we offer:

• A supportive, open, and fun team that will have your back from day 1. 
• Twenty-eight days of vacation (increases based on tenure to up to 30 days), 1-day special leave paid for charity work, five days of paid educational leave, and the option of unpaid leave. 
• Hybrid work setup combining office & remote work (3 days from office, 2 days home), flexible working hours, bring your dog policy. 
• Ongoing focus on your personal development (annual development budget of EUR 750, mentoring opportunities, continuous career conversations)
• Mental Health support via Likeminded
• Monthly 30 EUR subsidy on Urban Sports Club, 25% discount on FitX gym membership
• Monthly 40 EUR credit for NAVIT- a sustainable mobility solution spanning public transport bike-sharing. 
• Tax-free meal allowance (saving EUR ~50 net per month!)
• Quarterly team get togethers, budget for employees birthdays, winter & summer parties plus regular cultural talks & events

If this sounds exciting to you, then we'd love to find out more about you! Apply and send in your application.

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We are proud to be an equal opportunities employer. We are committed to assessing every qualified person according to their skills, regardless of age, gender identity, ethnicity, sexual orientation, disability status or religion. It is not necessary to include your photo and age with your application.