Customer Analytics & Insights Manager

Responsibilities

• Use machine learning tools and statistical techniques to produce solutions to complex business problems
• Create forecasting and propensity models to predict future customer behavior
• Build scalable machine learning pipelines using feature engineering and optimization methods
• Collaborate with Data Engineers, Data Scientists, and Architects to drive data science projects
• Develop new cloud-productionized prediction models and manage model outputs
• Manage dashboards to drive customer insight and improve campaign targeting
• Increase transparency regarding customer demographics and behaviors through advanced data mining

Requirements

• 8+ years of technical expertise in data models, data mining, and segmentation techniques
• Strong proficiency in Python and its libraries (e.g., Pandas, Scikit-learn, PySpark, Matplotlib)
• Advanced SQL skills and experience with statistical modeling
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Proficiency in designing algorithms and using linear/non-linear regression and classification techniques
• Strong experience with large-scale data dashboarding tools like Power BI or Tableau
• Experience working within cloud environments and modern data stacks
• Ability to communicate complex technical topics to non-technical stakeholders

Preferred Qualifications

• Proven experience in marketing analytics, experimentation, or customer analytics
• Experience in a Data Scientist or Machine Learning Engineer role

About the Company

Fidelity International is a global investment leader dedicated to helping clients achieve their long-term financial goals. Our Global Central Marketing Operations organization designs and optimizes multi-channel customer journeys, using data-driven insights to ensure communications are timely, relevant, and compliant.