Data Scientist – Marketing, Customer & CX Analytics

Data Scientist – Marketing, Customer & CX Analytics

Job Description:

A leading financial services organization is seeking a Data Scientist to support marketing, customer experience, and growth analytics initiatives. This role blends technical expertise with business acumen to deliver actionable insights, optimize customer journeys, and elevate data capabilities across the enterprise.

Key Responsibilities

• Interpret business requirements and independently conduct analysis, build reports, and develop dashboards to support marketing, customer experience, and strategic initiatives.
• Build, validate, and deploy predictive models, machine learning pipelines, and LLM-based solutions to improve customer satisfaction, retention, engagement, and operational performance.
• Analyze customer journeys, call center performance, and CX drivers to identify friction points and recommend improvements that enhance service quality and efficiency.
• Develop driver analyticsto uncover root causes of customer behavior, call volume trends, satisfaction scores, and operational outcomes.
• Translate complex analytical findings into clear, compelling narratives for non-technical stakeholders and senior leadership.
• Identify and recommend new data capabilities to support strategic goals; collaborate with data enablement teams to implement solutions.
• Engage directly with business partners to understand data needs and respond to ad hoc requests.
• Execute advanced data queries, reconcile datasets, and synthesize results into executive-level insights.
• Champion a data-driven culture by mentoring analysts and enhancing data literacy across internal teams.

Qualifications

• Minimum 3 years of experience in a data analytics role within financial services, with hands‑on expertise in large‑scale data analysis and insight generation.
• Experience inCustomer Analytics, CX Analytics, Call Center Analytics, Driver Analytics, or Growth Analytics within financial services.
• Demonstrated experience building predictive models and machine learning solutions using Python (pandas, numpy, scikit‑learn).
• Proficiency in data modeling, data engineering, and analytics tools including Power BI, SQL, and Python.
• Experience developing reports and dashboards in Power BI or Tableau.
• Strong communication, organizational, and interpersonal skills, with the ability to manage multiple priorities.
• Proven ability to extract key insights and present findings to business audiences.

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