Quick Summary
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.
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.
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Data Engineering
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Design, construct, and enhance data pipelines utilizing SQL, Python, dbt, git, and AWS services.
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Create and maintain data architecture and data models for various business domains.
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Implement data quality and validation processes to guarantee data accuracy and consistency.
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Automate and streamline data integration, ETL, and ELT processes to improve efficiency.
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Analytics
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Establish and implement data requirements and analytics solutions with our tech and product teams.
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Plan, execute, and evaluate experiments with our marketing and product teams.
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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)
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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.
Location & Eligibility
Listing Details
- Posted
- May 28, 2026
- First seen
- May 28, 2026
- Last seen
- May 28, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 70%
- Scored at
- May 28, 2026
Signal breakdown
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