Analytics Engineer (f/m/d)

United States Digital Space LLC; Hamburg; Vor Ort; EUR 65.000 - 90.000; Vollzeit

Benefits dieser Stelle

Hybrid work setup

Visa support

Relocation bonus

Vacation days and wellness

In-house gym and EAP

Zusammenfassung

The company is a leading mobile gaming developer with a strong focus on data-driven decisions in Hamburg. We seek an Analytics Engineer to design data pipelines, model data, and implement quality controls while collaborating with product, tech, and marketing teams.

You’ll work on experiments, KPIs, and dashboards to drive business impact from day one. Ideal candidates have 3+ years in data roles, strong SQL/Python, and experience with dbt, GitLab, and AWS.

Qualifikationen

• Bachelor's degree in STEM fields or equivalent experience.
• Minimum 3 years of experience in data science, engineering, analytics, or related field.
• Strong SQL and Python programming skills.
• Knowledge of dbt and data modeling principles.
• Proficient with data architecture and data engineering concepts.
• Experience with GitLab or similar version control systems.
• Ability to validate hypotheses through data visualization.

Aufgaben

• Design, construct, and enhance data pipelines using SQL, Python, dbt, Git, and AWS services.
• Create and maintain data architecture and models for various business domains.
• Implement data quality and validation processes to ensure data accuracy and consistency.
• Automate and streamline ETL/ELT processes to improve efficiency.
• Establish and implement analytics requirements and solutions with product and tech teams.
• Plan, execute, and evaluate experiments with marketing and product teams.
• Define KPIs and metrics and develop monitoring tools for these indicators.
• Convey insights using visualization tools (Tableau).

Kenntnisse

SQL

Python

dbt

Git

AWS

Tableau

Data modeling

Data architecture

Data quality

ETL/ELT

Ausbildung

Bachelor's degree in STEM fields

Tools

GitLab

Jobbeschreibung

At the company, 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.

the company 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:

• InvestinYourFuture: Regular feedback and our development program support your growth, helping you expand your skill set and achieve your career goals.

• EasyArrivaltothe company: 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 the company in Hamburg? We support every ambition-from learning German to a relocation bonus that helps you settle in and make Hamburg feel like home.

• LiveYourBestLife,atWorkandBeyond: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).

• ThriveWhereYouWork: Enjoy the Alster lake view from our central office with top notch equipment, fun open spaces, and a large variety of snacks and drinks.

• JointheCommunity!Participate in regular team and company events, including hackathons and social gatherings. We work together, and we celebrate together, too.

At the company, 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.