Manager Sales Operations

Job Description
As the Manager of Sales Data and Business Insights Solutions, you will be responsible for overseeing the development, execution, and optimization of our sales data processes, systems, and reporting. You will leverage your expertise in data analytics, business intelligence, and sales operations to provide actionable insights that drive sales performance and business growth. This role will collaborate closely with cross-functional teams including Sales, BUs, IT, and Finance to ensure that the organization's sales data is accurate, actionable, and aligned with strategic objectives

Key Responsibilities

• Team leadership: You will be responsible for assembling and managing a team of exceptional data professionals. The team's goal is to become a center of knowledge as well as a strategic partner that helps the business to qualify trends and behaviors quickly, providing valuable insights for overall business performance improvement.
• Data Management: Oversee data governance, ensuring data accuracy, integrity, and accessibility across the organization, in close collaboration and coordination with the various global and regional cross-functional teams/ projects and tools.
• Insight Generation and establishment of a data-driven mindset: Lead a team to extract valuable insights from data, providing actionable recommendations to various business units and sales teams. You will also inspire and support teams to develop data models and prediction systems that can generate tangible business impact.
• Implementation and monitoring of tools and metrics to manage sales performance (productivity, conversion rates, order volume) to drive continuous improvement, by country, verticals, Key accounts, technology, etc,
• New tools and processes implementation representing the sales function for all tools migration, integration and upgrading activities; Partner with IT to ensure system performance, data integrity and user adoption. Support change management efforts related to digital tools and analytics adoption across EMEA regions. Train and support users to increase digital literacy and self-service analytics capabilities
• Performance Metrics: Define and monitor key performance indicators (KPIs) to gauge the success of analytics initiatives; Develop and maintain advanced dashboards, KPIs, and reporting frameworks using platforms like Power BI; Deliver actionable insights to functional leaders (Sales, BUs, Finance, etc.) to drive operational excellence and business performance. Lead analytics projects that uncover trends, forecast performance, and support strategic initiatives.
• Reporting: Prepare and deliver clear, data-driven reports and presentations to senior leadership, offering insights and strategic recommendations, timely and proactively.

What we're looking for?

• Bachelor's or master's degree in Data Science, Computer Science, Statistics, Economics, or a related field.
• Good experience in data analytics, with a proven track record of leading high-performing analytics teams.
• Expertise in data analysis tools such as SQL, Python, R, generative AI and advanced Excel
• Experience with data visualization platforms like Power BI, Tableau or equivalent.
• Strong leadership, communication, and collaboration skills.
• Excellent time management and demonstrated ability to deliver results to the appropriate quality and time metrics
• Excellent presentation skills meeting the needs of all levels within the organization
• Experience in a B2B industry is highly desirable.

Desirable Attitude

• Self-motivated, enthusiastic, and outgoing individual, capable of working in a fast paced environment
• Positive and adaptable approach to problem-solving
• Methodical and analytical behavior
• Capability to work under pressure and with deadlines
• Multitasking/proactive

Why Join Us?

• Play a pivotal role in a global digital transformation initiative.
• Influence how business decisions are made across EMEA through smart data and tools.
• Collaborate with forward-thinking teams in a supportive and growth-driven environment.