Senior Data Analyst - Remote

Overview

The Data engineer supports the data team to drive innovation in data analytics and ensuring the reliability and scalability of our data systems.

In Short

• Execute a comprehensive data strategy aligned with Digistore24’s objectives.
• Support to manage the full data domain: architecture, technology choices, policies, procedures, cost monitoring, alerting, etc.
• Ensure the data foundation is performant and scalable to meet business needs.
• Enhance analytics capabilities and drive the development of predictive models and data visualization tools.
• Communicate and align with various teams on business and technical needs.
• Perform on clear goals and objectives, ensuring alignment with organizational priorities.
• Ensure the accuracy, reliability, and integrity of data analytics processes and outputs.
• Implement best practices for data acquisition, integration, transformation, and delivery.
• Stay current with emerging technologies and trends in data engineering.
• Serve as a subject matter expert on data analytics and engineering topics, providing guidance and support as needed.

Requirements

• Fast learner with the ability to connect business and technical perspectives.
• Utilize cloud environments (AWS, Azure, preferably GCP) to manage and process data.
• Work with data warehousing solutions such as BigQuery, Redshift, and Snowflake to ensure efficient data storage and retrieval.
• Ability to build and maintain dashboards, create interactive visualizations, and generate actionable business insights using Power BI, Tableau, Looker or similar tool.
• Comfortable working across different teams, managing multithreading, and handling ambiguity.
• Employ ETL tools like dbt, SQLMesh, and GCP DataForm to transform and prepare data for analysis.
• Proficient in both project management and operational work, with the ability to delegate and coach.
• Self-motivated, capable of making independent decisions, and solving problems innovatively.
• Excellent verbal, written, and interpersonal communication skills.
• Experienced in computer science, data science, engineering, or a related field.
• Proven experience in a data analyst role.

Benefits

• Work in our partner's coworking spaces or in your home office, as long as you can guarantee uninterrupted internet access.
• Regular further education.
• The stability of an extremely successful German high-tech company that is funded by its successful product and not by investors.
• Outcome focused teams and a culture of direct feedback.
• Modern equipment: Thinkpad or MacBook.
• International, collaborative team with strong cohesion.
• Spectacular team events in various European countries.
• Autonomy from day one.
• Work in your team on a first-name basis, without a dress code, and at eye level.
• Flexible working hours from Mondays to Fridays.