Sr. Data Analytics & CVM

Publication date : Jan 19, 2026, 10:23AM

Purpose of the job

To lead customer-centric analytics and value management initiatives. This role will combine advanced analytics, data storytelling, and CVM strategy to drive business growth, retention, and engagement. The ideal candidate is hands-on with data, highly skilled in SQL, analytics programming, and dashboarding tools (Tableau, Power BI, etc.), and able to partner effectively with cross-functional teams including Data Engineering, Data Modeling, Marketing, and Product.

Analytics & Insights

• Perform advanced analysis of customer, product, and transactional data to uncover trends and growth opportunities.
• Build and maintain dashboards and automated reports using Tableau, Power BI, or equivalent.
• Develop self-service BI tools for stakeholders, empowering business teams to access insights directly.
• Apply statistical and predictive modeling techniques (segmentation, churn models, CLV models).
• Ensure data-driven decision-making through actionable insights and recommendations.

Customer Value Management (CVM)

• Develop and implement strategies to maximize customer lifetime value (CLV) and reduce churn.
• Design and execute personalized campaigns and journeys using segmentation and targeting techniques.
• Monitor campaign effectiveness and optimize through A/B testing and post-campaign analysis.

Data Collaboration & Governance

• Work closely with Data Engineering to ensure robust data pipelines, integration, and scalability.
• Collaborate with Data Modeling teams to design, refine, and operationalize predictive models.
• Partner with data governance teams to ensure accuracy, consistency, and compliance of customer data.
• Contribute to building a data-driven culture across the organization

Stakeholder Engagement

• Act as a key analytics partner for Marketing, Product, Finance, and Senior Leadership.
• Translate technical insights into clear business narratives for both technical and non-technical stakeholders.
• Drive alignment between analytics, business strategy, and execution.

Job specification

Education

• Bachelors in Statistics, Computer Science, Economics, or related field.
• 7+ years experience in analytics, customer insights, or CVM roles.

Skills & Abilities:

• SQL for data extraction, transformation, and optimization.
• Python / R for advanced analytics and modeling.
• Dashboarding and visualization tools: Tableau (mandatory), Power BI, Looker, or equivalent.
• Hands-on experience with CVM / CRM platforms and marketing automation tools.
• Strong knowledge of churn analytics, segmentation, personalization, and retention strategies.
• Familiarity with big data / cloud environments (AWS, Azure, GCP, Databricks, Spark, Hive).
• Excellent problem-solving, data storytelling, and stakeholder management skills.
• Ability to bridge business, analytics, and engineering teams effectively.

At Orange, only your skills matter.

Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.