Vice President of Data Analytics

Role Description The Vice President of Data Analytics at FUGRO - Premium Speisepilze is a full-time, remote position responsible for leading the organization’s data strategy and advanced analytics initiatives. This role oversees the design and implementation of data models, reporting frameworks, and performance dashboards to support strategic and operational decision-making. The Vice President collaborates with cross-functional teams in finance, operations, and commercial functions to identify business opportunities, define key performance indicators, and ensure data quality and governance. Daily responsibilities include guiding the analytics team, prioritizing projects, reviewing analytical outputs, and communicating insights and recommendations to executive leadership. The role also involves staying current with emerging analytics tools and methodologies, optimizing data infrastructure, and driving a culture of data-informed decision-making across the company.

Qualifications

Strong analytical skills and proven experience leading analytics initiatives at a senior or executive level. Advanced expertise in data analytics and analytics methodologies, including building models, dashboards, and decision-support tools. Solid foundation in statistics, including hypothesis testing, regression, and other quantitative methods relevant to business analytics. Experience applying analytics in finance or financial planning contexts, including forecasting, budgeting, and performance analysis. Demonstrated ability to develop and execute data strategies, including data governance, data quality management, and data architecture oversight. Leadership experience managing and mentoring multidisciplinary analytics teams in a remote or distributed environment. Excellent communication skills, with the ability to translate complex analytical findings into clear, actionable insights for non-technical stakeholders. Proficiency with modern analytics and business intelligence tools (e.g., SQL, Python/R, data visualization platforms such as Power BI or Tableau). Bachelor’s degree in a quantitative field such as Statistics, Data Science, Mathematics, Economics, Finance, or related discipline; advanced degree is preferred. Experience in technology-driven, data-rich environments and a track record of driving measurable business impact through analytics.