Data Analyst SQL Python Tableau

We’re hiring a

Data Analyst

to strengthen Interroll’s global sales data foundation and analytics capabilities. You will work across SAP, SAP Datasphere, Power BI, SAP Analytics Cloud, Python and Databricks to build reliable datasets, define KPI logic, automate data flows and deliver dashboards that support decision-making across Sales, Marketing and Finance.

You will join the

Global Business Performance

team responsible for defining and monitoring sales KPIs, ensuring consistent and timely reporting, delivering advanced analytics and pricing insights, and supporting executive leadership with structured, data-driven intelligence. The function acts as the central analytical link between global leadership and the worldwide sales network.

Data Modelling, KPI & Governance Model and maintain “golden” sales datasets in SAP Datasphere and related platforms. Integrate SAP, CRM, and other external sources into standardized reporting layers. Ensure alignment with data governance rules, KPI definitions, and documentation standards. Translate business requirements into scalable data models and analytical solutions. Build and enhance dashboards in Power BI and SAP Analytics Cloud, ensuring clarity and business relevance. Deliver automated, reliable reporting serving Sales, Marketing, Finance, and Executive Management. Develop and maintain ETL/ELT pipelines within SAP Datasphere, Databricks, and related environments. Implement strong data quality controls and monitoring systems. Support automation initiatives to reduce manual reporting and improve data timeliness.

Conduct analysis on segmentation, pricing, churn indicators, market potential, and commercial efficiency. Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Economics, Business Analytics or a related quantitative field (or equivalent experience). Previous experience in a Data Analyst, BI Analyst, or Analytics Engineer role. Experience with SAP datasets (SD/CO/FI) and SAP Datasphere or comparable DWH platforms is a plus.

High proficiency in Power BI (DAX, modelling, visuals, lifecycle management). SQL expertise and strong understanding of dimensional modelling and “golden record” concepts. Python for data preparation, automation, and exploratory analytics; Understanding of data governance, KPI frameworks, and documentation best practices. Excellent command of the English language required for daily interactions with multiple team members from all over the world.

A global role with visibility across Sales, Finance, Marketing, and Executive Management. A dynamic environment where data, governance, and insights enable strategic and operational execution.