Analytics Engineer (f/m/d)
Justdice · Hamburg ·
- Work mode
- Hybrid
- Category
- Data analytics
- Experience
- 3+ years
- Visa sponsorship
- Yes
- Company size
- 51-200
Justdice · Hamburg ·
Build and maintain data pipelines and models for a mobile gaming loyalty platform using SQL, Python, dbt, and AWS to power analytics and KPIs for product and marketing teams.
At justDice, we create mobile gaming experiences that reward players for their time and engagement. We move quickly, take ownership, and value people who bring ideas, curiosity, and a willingness to challenge how we do things. You’ll work with experienced teammates, solve meaningful problems, and have the freedom to make an impact from day one.
justDice is a leading developer of mobile gaming loyalty programs. We create engaging products that entice users to play captivating games and earn real rewards. JusDice is part of the Applike Group ecosystem, backed by strong financial support from Bertelsmann, and boasts a highly motivated workforce.
The Analytics Engineer occupies an essential role within our data-driven organization, collaborating with product, tech, and marketing teams while reporting to the Business Intelligence Lead. The primary purpose of this role is to support stakeholders in making informed decisions by proactively identifying challenges and opportunities through data analysis, leading to tangible and positive impacts on the business.
What you'll do?
Data Engineering
Design, construct, and enhance data pipelines utilizing SQL, Python, dbt, git, and AWS services.
Create and maintain data architecture and data models for various business domains.
Implement data quality and validation processes to guarantee data accuracy and consistency.
Automate and streamline data integration, ETL, and ELT processes to improve efficiency.
Analytics
Establish and implement data requirements and analytics solutions with our tech and product teams.
Plan, execute, and evaluate experiments with our marketing and product teams.
Establish the KPIs and metrics that will be used by the business.
Develop appropriate monitoring tools for these indicators.
Convey the message using visualization tools (Tableau)
Who you are?
Bachelor's degree in STEM fields or previous experience in related jobs or projects.
Minimum 3 years of experience in data science, engineering, analytics, or a related field.
Strong SQL, Python programming skills.
Knowledge of dbt
Proficient in data modeling, data architecture, and data engineering principles.
Knowledge of GitLab or similar git-based version control systems.
Ability to validate hypotheses through data visualization.
Strong analytical skills.
Autonomy and ability to work independently.
Strong problem-solving skills.
Growth mindset and eagerness to learn new technologies and methodologies.
Is able to communicate in a pragmatic and professional manner.
Why you will love working here:
Invest in Your Future: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals.
Easy Arrival to justDice: From signing to settling in Hamburg, we’ve got you covered. Need a visa? No problem. Ready to build your new life and career at justDice in Hamburg? We support every ambition—from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.
Live Your Best Life, at Work and Beyond: We work in a hybrid setup with 3 core office days, plus flexible working hours. Enjoy 30 vacation days, 3 weeks of remote work per year, and free access to an in-house gym with lots of different fitness classes and mental health support through our Employee Assistance Program (EAP).
Thrive Where You Work: Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks.
Join the Community! Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.
At justDice, we value ownership, honesty, collaboration, and having fun while building something ambitious together.
We care about hiring great people, not perfect CVs. If this role sounds exciting, but you don’t meet every requirement, we’d still love to hear from you.
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