Senior Manager Data Modeling And Segmentation

Job description / Role

Purpose of the job

Develop and deliver advanced descriptive, predictive, and segmentation models and analytics.
Delivery of timely, high quality, and insightful analysis and data on customer behavior and customer base, customer profiles, existing products and services, statistical models, and other ad-hoc requests that deliver tangible business benefits and aid in top management decision-making process.
Utilize data mining tools for analysis that provide descriptive, association, clustering, and segmentation.

Duties and responsibilities

• Craft the roadmap for data mining and analytics in terms of both technical configurations and business use cases on the commercial side of business, ensuring consistency with business needs.
• Use data mining tools and techniques to develop advanced models and apply statistical theory in order to introduce, design, develop, maintain, and deploy innovative data models to increase base revenues and reduce customer churn.
• Lead the data science discussions with the commercial segments and propose new modern techniques to solve customer issues and enhance marketing performance.
• Manage and apply statistical theories of classification, segmentation, and product association (market basket analysis) in order to aid in tailoring offers and targeted base campaigning.
• Manage the implementation and regular running of the RFM (Recency, Frequency, Monetary) model on the commercial side, to target customers on time with appropriate offers to stimulate usage and increase ARPU.
• Create pre-campaign analysis and propose customer segmentation logic for target segments and produce campaign post-assessment results.
• Support campaign activity with the interpretation of response data from marketing tests.
• Prepare reports on performance of campaigns underlining the effectiveness of the used models.
• Support campaign activity with the design of statistically valid control groups and test cells for marketing tests.
• Manage the business rules relating behavioral patterns (purchases, transactions, life events) and their impact on important outcomes (churn, usage, propensity to buy).
• Create and update on a regular basis a universal control group that is used to measure the effectiveness of both targeted and overall campaign offers over time.
• Manage timely ad-hoc reports and analysis on subscriber base (customer usage, churn, migrations, profiling, etc.) to different sub-departments, monitoring base behavior in response to marketing and technological changes.

Job specification

Education

• Bachelor's degree in business information systems, IT, or engineering.
• Additional data analytics studies are required.
• Additional marketing studies are a plus.
• Master's degree is preferred.

Experience

• Eight years plus of relevant experience with data mining and modeling in the telecom industry.
• Commercial business understanding.
• Excellent knowledge of Microsoft Office packages (Excel, Access, and PowerPoint).
• A successful record in managing databases.
• Experience in SQL and statistics using SPSS Modeler is required.
• Experience using Python and Power BI is a plus.

Skills and abilities

• Aware of different database programs and tools mainly.
• Excellent project management skills.
• Fundamental knowledge of key business indicators (KBIs).
• Strong player using technical tools.
• Excellent coordination and communication skills.
• Able to research, investigate, and analyze business information.
• Ability to manage multiple tasks with constrained deadlines and ensure deliverables meet quality standards.

Only your skills matter

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

About the Company

Orange is one of the world’s leading telecommunications operators with sales of 43.5 billion euros in 2022 and 136,000 employees worldwide at 31 December 2022, including 75,000 employees in France. The Group has a total customer base of 287 million customers worldwide at 31 December 2022, including 242 million mobile customers and 24 million fixed broadband customers. The Group is present in 26 countries. Orange is also a leading provider of global IT and telecommunication services to multinational companies under the brand Orange Business.