Sales Operations Analyst TAA Benelux

at  Wolters Kluwer

We are looking for a driven Sales Operations Analyst to strengthen our Benelux team. The ideal candidate has a passion for data analysis, identifying trends, and collaborating with various teams.
You will play a key role in defining sales strategies and optimizing processes. With the right technological tools, you’ll provide deep, data-driven insights to support the growth and operational efficiency of our department.
This position, with hybrid work options from our offices in Mechelen (BE) or Hoevelaken (NL), reports directly to the Sales Director Benelux.

Key Responsibilities:

• Sales Analytics & Strategy: Analyze sales performance, customer behavior, and market trends using advanced reports. Provide data-driven recommendations that shape strategies aimed at revenue growth and improved sales results.
• Financial Modeling & Forecasting: Collaborate with the leadership team to build complex financial models and forecast various sales and revenue scenarios, supporting well-informed business decisions.
• Process Optimization & Automation: Assess sales processes, focusing on lead-to-revenue workflows. Identify opportunities for improvement or automation and develop well-founded recommendations for management.
• Data Governance & Quality: Ensure data quality by establishing guidelines where necessary. Guarantee that sales and revenue data is accurate, reliable, and up-to-date. Lead initiatives to improve data quality through data cleansing, deduplication, and collaboration with IT and data teams.
• Sales Forecasting & Reporting: Manage the forecasting process and assist the management team in setting realistic goals. Monitor performance against forecasts, identify deviations, and make strategic recommendations to address any gaps. Support the annual budgeting process by providing data-driven insights.

Qualifications & Expertise:

• Master’s degree in Business Administration, Finance, or a related field, or equivalent experience.
• 5 years of experience in sales operations, revenue operations, or a similar analytical role.
• Experience with CRM systems (e.g., Salesforce, HubSpot) and advanced data analysis tools (e.g., Excel, Looker, Tableau, Power BI).
• Strong understanding of financial reporting, forecasting, and budgeting processes.

Ideal Candidate Profile:

• Analytical Mindset: Exceptional analytical skills with the ability to collect, analyze, and interpret large datasets to make well-informed decisions.
• Problem-Solving Ability: Proven ability to identify issues, offer innovative solutions, and work across departments to implement these solutions.
• Technically Proficient: Skilled in working with CRM systems and other sales and revenue tools to automate and streamline business operations.
• Collaboration & Communication: Strong written and verbal communication skills, with the ability to collaborate with various teams and departments. Able to clearly present complex data insights to both technical and non-technical audiences.
• Proactive & Detail-Oriented: Independent and able to manage multiple tasks and projects with a high degree of accuracy and attention to detail.

This role offers the opportunity to make a tangible impact on our sales performance and contribute to company growth through data-driven insights and process improvements. If you thrive in a dynamic environment and enjoy using data to solve complex problems, we’d love to hear from you!
At Wolters Kluwer, we highly value a stimulating work environment where talent can grow. We offer our employees opportunities for continuous development, collaboration with talented colleagues, and a good work-life balance, making us an employer that supports your professional and personal growth.
Do you have questions about the position? Feel free to contact our recruiter, Silvie Roelans, at silvie.roelans@wolterskluwer.com

• Sales Analytics & Strategy: Analyze sales performance, customer behavior, and market trends using advanced reports. Provide data-driven recommendations that shape strategies aimed at revenue growth and improved sales results.
• Financial Modeling & Forecasting: Collaborate with the leadership team to build complex financial models and forecast various sales and revenue scenarios, supporting well-informed business decisions.
• Process Optimization & Automation: Assess sales processes, focusing on lead-to-revenue workflows. Identify opportunities for improvement or automation and develop well-founded recommendations for management.
• Data Governance & Quality: Ensure data quality by establishing guidelines where necessary. Guarantee that sales and revenue data is accurate, reliable, and up-to-date. Lead initiatives to improve data quality through data cleansing, deduplication, and collaboration with IT and data teams.
• Sales Forecasting & Reporting: Manage the forecasting process and assist the management team in setting realistic goals. Monitor performance against forecasts, identify deviations, and make strategic recommendations to address any gaps. Support the annual budgeting process by providing data-driven insights