Workforce Insights Analyst — SQL & Power BI

Arvato; Gennep; Remote; EUR 29,000 - 55,000; Full time

Benefits offered by this job

Pension plan

Travel allowance

Gym and bike discount

Career growth

Open working environment

Career opportunities

Job summary

Arvato in Gennep (part of the Bertelsmann group) is seeking a proactive Workforce Data Analyst to strengthen workforce planning through accurate analysis and clear reporting. You will work with SQL, Power BI and advanced Excel to translate HR and workforce data into actionable insights and collaborate across HR, WFM and warehouse teams.

You will manage the WFM-HR system, write SQL queries, build data dumps and dashboards, monitor trends, and propose data-driven improvements.

Qualifications

• Proven experience with SQL databases and writing custom queries.
• Proficiency in Power BI and advanced-level Excel.
• Familiarity with API integrations is an advantage.
• Strong analytical skills and experience with data analysis in an HR context.
• Good command of English; Dutch is an advantage.
• Confidence operating at different levels within a fast-paced organization.

Responsibilities

• Managing the WFM-HR system, including application administration.
• Writing SQL queries to extract data and transform it into actionable insights.
• Building data dumps and Power BI dashboards for HR and workforce analysis.
• Interpreting HR data, performing trend analyses and monitoring outliers.
• Developing and presenting improvement proposals based on analyses.
• Contributing to ongoing development of data-driven workforce planning.

Skills

SQL

Power BI

Advanced Excel

HR analytics

English proficiency

Tools

API integrations

Job description

Arvato in Gennep (part of the Bertelsmann group) is seeking a proactive Workforce Data Analyst to strengthen workforce planning through accurate analysis and clear reporting. You will work with SQL, Power BI and advanced Excel to translate HR and workforce data into actionable insights and collaborate across HR, WFM and warehouse teams.

You will manage the WFM-HR system, write SQL queries, build data dumps and dashboards, monitor trends, and propose data-driven improvements.