Senior Customer Insights & Analytics - Program Owner

Mapfre

Webster (MA)

Hybrid

USD 115,000 - 140,000

Full time

14 days+

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Benefits offered by this job

Competitive health coverage
Retirement plans
Paid time off
Flexible work options
Employee discounts

Job summary

Mapfre is seeking a Senior Customer Insights & Analytics - Program Owner to build and maintain datasets that support enterprise reporting. This hybrid role involves advanced data analysis, ensuring data integrity, and delivering actionable insights through collaboration with various teams.

The ideal candidate will have a Bachelor’s degree, along with 4-6 years of relevant experience and proficiency in SQL and Python.

A competitive salary range of $115,000 - $140,000 is offered, reflecting the importance of the data-driven strategies.

Qualifications

  • 4-6 years' experience related to business intelligence or analytics.
  • Experience leading complex projects or cross-functional teams is valuable.
  • Knowledge in IT or Advanced Analytics preferred.

Responsibilities

  • Develop datasets for reports and data marts.
  • Analyze datasets and perform data modeling.
  • Provide consultative assistance to teams working with data.
  • Conduct exploratory analysis and data manipulation.
  • Design data processes for integration and validation.
  • Collaborate with different departments to align strategies.

Skills

Data analysis
SQL
Python
Cross-functional collaboration

Education

Bachelor’s Degree or equivalent experience

Job description

Senior Customer Insights & Analytics - Program Owner (Hybrid)

Location: Webster, MA, US

Company: MAPFRE

Summary:

Builds and maintains datasets to support enterprise reporting, data marts, and ad hoc analysis. Performs advanced data analysis and modeling, translating business needs into high-quality requirements for reporting and visualization. Provides consultative support, ensures data integrity, and delivers actionable insights through prescriptive recommendations.

Responsibilities:

  • Develop datasets that serve as sources for various reports and enterprise data marts.
  • Analyze datasets – perform exploratory analysis, data manipulation, or data modeling for deliverables.
  • Leads or facilitates meetings to translate business needs into clearly defined, well-documented, high-quality requirements to support future reporting and visualizations.
  • Provides consultative assistance to cross-functional teams and external departments working with data.
  • Assists in the development of complex ad hoc reporting.
  • Exercises discretion and applies critical thinking relative to analysis, planning, and/or implementation of critical business initiatives.
  • Provides prescriptive recommendations for action as part of reporting based on analysis of requested data.
  • Applies data best practices to ensure the quality and accessibility of assembled datasets.
  • Analyze financial and operational data using tools such as SQL and Python to support strategic decision-making and forecasting.
  • Design and implement data processes to integrate data from multiple sources into centralized repositories, cleaning, transforming and validating datasets that ensure accuracy and consistency for analytical use.
  • Collaborate with sales, marketing, and underwriting teams to align business strategies and performance goals.
  • Develop and present business proposals, dashboards, and performance reports to senior leadership.
  • Monitor agency production and performance, enabling segmentation and channel value proposition alignment.
  • Support the implementation of business development tools and infrastructure to enhance analytics capabilities.
  • Participate in strategic planning sessions, talent forums, and cross-regional assessments to refine Business Development strategy.

Qualifications:

  • Bachelor’s Degree or professional level of knowledge in a specialized field, or equivalent related experience.
  • 4-6 years' experience or equivalent, related knowledge.
  • Incumbents in this role should have at least 2 of the following experiences:
    • Taking on a role in different function, such as IT or Advanced Analytics, to bring increased knowledge and perspective back to Business Intelligence (especially important for the Advisor and Senior Advisor levels).
    • Participating in or leading a cross functional team.
    • Participating in or leading complex projects.
    • Completing an assignment in another team/department.
    • Working on a global project team.
Why Mapfre?

As a global insurance leader with a strong local presence, we offer more than a job — we provide a purpose-driven career where your growth, well-being, and impact truly matter.

Purpose & Culture: Join a company built on trust, collaboration, and inclusion. Our values guide everything we do, creating a workplace where people feel respected and empowered.

Comprehensive Benefits: Enjoy competitive health coverage, retirement plans, paid time off, flexible work options, and lifestyle perks like employee discounts.

Career Growth: Advance your skills through tuition reimbursement, leadership programs, and internal mobility opportunities. Your development is our priority.

Social Responsibility: Contribute to meaningful initiatives through Fundación Mapfre, supporting communities and sustainability worldwide.

Pay Philosophy: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications, and location. Some roles at Mapfre are eligible for commission and/or bonus earnings, in addition to salary, calculated based upon factors set forth in the compensation plan for the role.

If you require an accommodation for a disability so that you may participate in the selection process, you are encouraged to contact the Mapfre Insurance Talent Acquisition team at talentacquisition@mapfreusa.com.

Salary Range

$115,000 - $140,000

We are proud to be an equal opportunity employer.

Nearest Major Market: Worcester

Job Segment: Strategic Planning, Business Intelligence, Data Modeler, Recruiting, Database, Strategy, Technology, Data, Human Resources

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