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Marketing Analytics and Insight Director

hace 2 meses

Madrid, Madrid, España Celonis Se A tiempo completo

About Celonis SE

Celonis SE is a global leader in Process Mining technology and a fast-growing SaaS firm. We believe that data and intelligence should be at the core of business processes, and we're looking for a talented individual to join our team.

The Team

The Marketing Analytics and Insight team is a key part of our marketing operation, working closely with cross-functional teams, including the broader go-to-market organization, marketing, and sales teams. As the engine and oil of our marketing machine, this team drives efficiency, optimization, and smooth operations.

The Position

The Marketing Analytics and Insight Manager is responsible for driving our company's data-driven marketing strategy by analyzing complex data sets, deriving actionable insights, and presenting findings to key stakeholders. This role requires a blend of analytical skills, strategic thinking, and marketing expertise to optimize campaign performance, improve customer acquisition and retention, and influence product development and go-to-market strategies.

The Work You'll Do

  • Data Governance: Ensure data integrity, accuracy, and consistency across all marketing datasets. Collaborate with IT and data teams to manage data sources, establish data standards, and implement best practices for data management.
  • Data Integration: Work closely with data engineers and IT teams to ensure seamless integration of data sources into visualization tools. Develop processes for data extraction, transformation, and loading (ETL) that support visualization needs.
  • Data Analysis and Reporting: Analyze large datasets from various marketing channels (digital, social, email, SEO, etc.) to assess campaign performance, customer behavior, and market trends. Develop comprehensive reports and dashboards that provide actionable insights to the marketing team and senior leadership.
  • Marketing Strategy Optimization: Work closely with the marketing team to identify key metrics, evaluate the effectiveness of marketing campaigns, and recommend adjustments to improve ROI. Provide insights that drive the optimization of customer acquisition, engagement, and retention strategies.
  • Customer Insights: Conduct deep dives into customer data to understand customer journeys, segmentations, and lifetime value (LTV). Utilize this information to inform personalized marketing strategies and product offerings.
  • Predictive Analytics: Develop and apply predictive models to forecast future marketing outcomes, such as customer acquisition costs, conversion rates, and campaign effectiveness. Also, attribution and marketing mix models. Use these models to guide strategic decisions and budget allocations.
  • Cross-Functional Collaboration: Partner with product, sales, finance, and IT teams to ensure that marketing strategies align with broader business goals. Facilitate data sharing and integration across departments to provide a holistic view of performance.