Hybrid BI Lead - Sales & Marketing Analytics

Atlas Copco

Boom

Hybrid

EUR 60,000 - 90,000

Full time

4 days ago

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Job summary

Atlas Copco Specialty Rental is seeking a Business Intelligence Expert for Sales & Marketing to drive BI strategy, define dashboards, and roll out analytics in Salesforce and SAP environments. You will collaborate with cross‑functional teams to translate business needs into actionable insights, ensuring data quality and governance while supporting regional and global reporting initiatives.

The role combines data analytics with stakeholder training and continuous improvement, in a hybrid setup

Qualifications

3–5 years of relevant experience.
Experience with quote‑to‑cash processes and strong analytical and process skills.
Knowledge of Power BI, Power Query, Excel and dashboarding is a plus.
Knowledge of Salesforce and SAP is an advantage.
Experience in an international and multicultural environment.
Fluency in English; additional languages are a plus.
Experience within Atlas Copco (Rental) is an advantage.

Responsibilities

As the owner of the Sales & Marketing business intelligence and reporting landscape, you will define, coordinate and maintain the reporting roadmap.
Specify business requirements and acceptance criteria for new dashboards, analytics and reporting capabilities, and validate those to ensure quality standards and business requirements are met. Develop these reports together with internal and external partners.
Prioritize reporting requests and manage the Sales & Marketing analytics backlog.
Work closely with Sales and Marketing Managers, Business Key Users, Pricing and Sales Excellence Managers, Data Experts, and other business stakeholders to translate business needs into meaningful insights.
Ensure data quality, consistency and trustworthiness across Sales & Marketing reporting solutions.
Drive governance processes to ensure stability, adoption and continuous improvement of dashboards and analytical solutions.
Support and train divisional and regional stakeholders on reporting capabilities and self‑service analytics.
Coordinate improvements in source systems to ensure accurate and complete business information.
Monitor the quality and effectiveness of analytical solutions and identify opportunities for optimization.
Align regional reporting initiatives with the divisional business intelligence to avoid duplication of effort.
Leverage the capabilities of AI to generate insights more accurately and efficiently.