Analytics Engineer at SumUp in Remote

Summary: SumUp is a global company dedicated to helping small businesses succeed through easy-to-use financial solutions. They are seeking a hands-on Analytics Engineer to build data infrastructure, streamline reporting, and transform complex datasets into actionable insights for business stakeholders. Responsibilities: - Participate in the day-to-day support rotation, handling ad hoc data requests, troubleshooting reporting issues, and diagnosing data pipeline problems across the business - Build, maintain, and document dbt models in a Snowflake environment - Develop and maintain Tableau dashboards and data sources for stakeholders across the company - Help to modernize our data infrastructure, with the goal of enabling business stakeholders to self-serve with the help of AI-assisted tooling - Manage stakeholder relationships independently — gathering requirements, setting expectations, and communicating clearly with both technical and non-technical audiences Required Qualifications: - Have experience as an Analytics Engineer, Data Analyst, BI Analyst or similar role working with complex datasets - Possess 1-4 years of applicable experience - Bachelor's degree in Computer Science, Data Analytics, Information Systems, related field or equivalent experience - Write advanced SQL in your sleep and know your way around Snowflake and dbt Core - Build and maintain Tableau dashboards that stakeholders actually trust - Manage stakeholders confidently — gathering requirements, setting expectations, and pushing back when a request isn't clearly defined - Figure things out independently using available resources before escalating - Stay calm and effective in fast-moving, imperfect environments - Sweat the small stuff when it comes to data quality - Collaborative, approachable, and easy to work with Preferred Qualifications: - Worked with self-serve or semantic data layers - Fluent in AI-assisted data tools like GitHub Copilot or Cursor - Contributed to an AI agent knowledge base or done prompt engineering work - Understand the limitations of LLMs when applied to data problems - Thrived in a lean or startup-style team before - Worked with Salesforce Required Skills: SQL, Snowflake, dbt Core, Tableau, Data Infrastructure, Data Modeling, Data Quality Management, AI-assisted Data Tools, Prompt Engineering, Semantic Data Layers, Stakeholder Management Benefits: Eligible for Virtual Stock Options, A full suite of benefits including medical, dental and vision, 22 days vacation days & 8 sick days plus 11 paid holidays, 401(K) employer match and paid parental leave, One month of sabbatical after every 3 years of employment