Service Data Analyst

About the role

Lely is a worldwide company that designs and manufactures automated systems for modern dairy farming. The Service Data Analyst role sits within the service organization, where the focus is on turning operational data into meaningful insights that improve equipment reliability and customer support. In this position, you will work with service records, equipment telemetry, and performance metrics to help the service team make better, faster decisions. The analyst contributes directly to reducing unplanned downtime and improving the overall experience for Lely customers around the world. You will collaborate with field engineers, product developers, and management to ensure that data drives continuous improvement across every stage of the service lifecycle. Your work will have a direct impact on how Lely serves its customers and maintains the high standards the company is known for in the agricultural technology sector.

Key facts

What you'll do

Examine service records and equipment telemetry to uncover trends in system performance and long-term reliability across the installed base.

Build and maintain interactive dashboards that visualize key service metrics for internal stakeholders and management teams.

Collaborate with field service engineers to understand on-the-ground challenges and identify where data collection can be improved.

Develop statistical models that predict equipment failures and support proactive maintenance planning for customers worldwide.

Prepare regular reports summarizing service activity, response times, resolution rates, and overall service quality outcomes.

Identify opportunities to reduce equipment downtime by analyzing root causes of recurring service issues and failures.

Work with the Lely service management platform to extract, clean, and transform operational data for analysis.

Partner with product teams to feed service insights back into design and future development decisions.

Define and track key performance indicators that measure service quality, efficiency, and overall customer impact.

Document analytical methodologies and share findings through clear presentations and written summaries for diverse audiences.

Support the continuous improvement of service processes using data-backed evidence, metrics, and structured analysis.

Coordinate with regional service teams to ensure consistent data collection standards and reporting practices worldwide.

Requirements

Bachelor's degree in a quantitative field such as statistics, mathematics, computer science, or engineering.

Strong analytical mindset with the ability to interpret complex datasets and draw meaningful, actionable conclusions.

Proficiency in working with large datasets and hands-on experience using analytical tools or platforms regularly.

Excellent written and verbal communication skills for presenting findings clearly to both technical and non-technical audiences.

Ability to work independently on assigned tasks while also collaborating effectively across departments and cross-functional teams.

Familiarity with SQL or similar query languages for data extraction, joining tables, and data manipulation tasks.

At least two years of relevant experience in a data analysis or service analytics role in a professional setting.

Strong attention to detail and a methodical, structured approach to problem-solving and data quality assurance.

Nice to have

Experience with dairy farming or agricultural machinery and equipment, understanding the operational context of service work.

Knowledge of predictive maintenance concepts and condition-based monitoring techniques for industrial and agricultural equipment.

Familiarity with visualization tools such as Power BI or Tableau for creating business-facing reports and dashboards.

Background in working with IoT sensor data or connected equipment systems in a service environment.

Skills & tools

SQL for querying and managing relational databases efficiently and accurately.

Statistical analysis and modeling techniques for identifying patterns and forecasting outcomes from service data.

Data visualization and dashboard creation using modern business intelligence platforms and tools.

Microsoft Excel for data manipulation, pivot tables, and summary analysis of structured datasets.

Python or R for scripting, automation, and conducting advanced analytical computations on large datasets.

Service management platforms and ticketing systems used to track and resolve equipment issues.

Practical notes

The role is based at Lely headquarters in Maassluis, nl, and is not a remote position.

This is a full-time position within the service data team at Lely.

The working environment is office-based with regular opportunities for cross-functional collaboration and team interaction.

Candidates should be prepared to work with cross-functional teams that may span multiple locations and time zones.