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Digistore24 USA logo
Digistore24 USA

A full-service vendor & affiliate platform with one of the world’s largest affiliate marketplaces. #MoreSalesLessWork

Senior Data Analytics Engineer

Analytics EngineerAnalytics EngineerContractRemoteSeniorTeam 51-200Since 2012H1B No SponsorCompany SiteLinkedIn

Location

Germany

Posted

114 days ago

Salary

0

Seniority

Senior

Job Description

Senior Data Analytics Engineer

Digistore24 USA

• Implement a comprehensive data strategy aligned with Digistore24’s goals. • Support the management of the entire data domain: architecture, technology decisions, policies, procedures, cost monitoring, alerting, etc. • Ensure the data foundation is performant and scalable to meet business needs. • Expand analytics capabilities and drive the development of predictive models and data visualization tools. • Communicate and align with various teams on business and technical requirements. • Work with clear goals and objectives to ensure alignment with organizational priorities. • Ensure the accuracy, reliability, and integrity of data analysis processes and results. • Implement best practices for data acquisition, integration, transformation, and delivery. • Stay informed about current technologies and trends in data engineering. • Act as a subject-matter expert on data analytics and engineering topics and provide support and guidance when needed.

Job Requirements

  • Fast learner with the ability to connect business and technical perspectives.
  • Use cloud environments (AWS, Azure, preferably GCP) to manage and process data.
  • Work with data storage solutions such as BigQuery, Redshift, and Snowflake to ensure efficient data storage and querying.
  • Work confidently across teams, manage concurrent workstreams, and handle uncertainty.
  • Use ETL tools like dbt, SQLMesh, and GCP DataForm to transform and prepare data for analysis.
  • Ability to create and maintain dashboards, build interactive visualizations, and generate actionable business insights with Power BI, Tableau, Looker, or similar tools.
  • Proficient in both project management and operational work, with the ability to delegate and coach.
  • Self-motivated, able to make independent decisions, and solve problems creatively.
  • Excellent verbal, written, and interpersonal communication skills.
  • Background in computer science, data science, engineering, or a related field.
  • Proven experience in a data analyst or data engineering role.
  • Communication skills: fluent in English, both written and spoken, to communicate with our international team.
  • Experience in ERP migrations, tax data marts, or procurement automation; work cross-functionally to enable self-service analytics for non-technical users.
  • Familiarity with event-tracking and product analytics tools (e.g., Amplitude, Mixpanel, GA4, Segment, Snowplow).
  • Experience building and analyzing funnels, cohorts, and experiments to inform the product roadmap and go-to-market strategy.
  • Ability to balance statistical rigor with speed and clearly communicate trade-offs and uncertainties.
  • This position is not for you if you have less than 3 years of experience in relevant data roles.
  • If you view software development only as the act of writing code.
  • If you cannot write high-quality code without a modern framework or require Windows to develop.
  • If you make code changes without understanding the consequences.
  • If you lack a sense of ownership and need to discuss every detail with your product manager or colleagues.
  • If you do not have the ambition to continuously expand your knowledge.
  • If you do not identify with our values (PLEASE READ THESE).
  • If you are looking for a B2B contract: we CANNOT offer this.
  • If you DO NOT reside in Europe (continent).

Benefits

  • Play a key role in shaping our innovative projects within a collaborative working environment — with flexible hours and location.
  • Work from our partner’s coworking spaces or your home office, provided you can guarantee an uninterrupted internet connection.
  • Regular professional development and training.
  • The stability of an extremely successful German high-tech company funded by its successful product rather than investors.
  • Results-oriented teams and a culture of direct feedback.
  • State-of-the-art equipment: MacBook.
  • International, collaborative team with strong cohesion.
  • Spectacular team events across several European countries.
  • Autonomy from day one.
  • Work with first names within your team, no dress code, and on equal footing.
  • Flexible working hours from Monday to Friday.

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