Analytics Engineer (f/m/d)
Justdice
Hamburg · Onsite · Full Time
Posted
Job description
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 an…