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Job Description:
Summary
We are looking for a skilled Data Analyst who will be responsible for transforming complex data into meaningful insights that support business decision-making. The ideal candidate will have strong analytical capabilities and deep hands-on experience with Power BI, Splunk, Looker Studio and Google Analytics.
This role requires someone who can work with cross-functional teams, interpret data from multiple sources, build dashboards, identify trends, and support both operational and strategic analytics initiatives.
Tiered Position - Higher level candidates considered based on relevant experience. *We are unable to consider candidates requiring sponsorship to work in the US, now or in the future, for this position.
Responsibilities
* Develop, maintain, and optimize Power BI dashboards, data models, and reports to support business insights.
* Use Splunk to analyze system logs, monitor application performance, build dashboards, and support operational intelligence.
* Leverage Google Analytics (GA4) to track digital engagement, user behavior, conversion performance, and web/mobile analytics.
* Collaborate with cross-functional teams to understand business needs and translate them into analytical outputs.
* Identify data trends, anomalies, and insights that help guide decision-making.
* Ensure data accuracy, governance, and consistency across reporting sources.
* Support ad-hoc analysis requests as needed to answer key business questions.
* Provide troubleshooting support for analytics reporting issues, data discrepancies, and tracking-related challenges.
* Develop and maintain comprehensive documentation outlining processes, data collection methodologies, and cross-functional dependencies.
Qualifications
* Bachelor's degree in data Analytics, Computer Science, Information Systems, Statistics, or a related field.
* Hands-on experience with Power BI, Splunk, Looker Studio and Google Analytics (essential).
* Strong analytical and problem-solving skills with the ability to work with large datasets.
* Ability to translate business needs into analytical solutions.
* Ability to present complex information clearly.
* Experience in digital analytics, operational analytics, and customer behavior analytics.
Preferred Qualifications
* Proficiency in SQL and experience working with relational databases.
* A detail-oriented, curious, and proactive analyst.
* Someone who enjoys solving complex problems and improving data visibility.
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.
Salary Range
$77,700 - $135,300
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.
We are proud to be an equal opportunity employer
| Source: | Company website |
| Posted on: | 25 Apr 2026 (verified 26 Apr 2026) |
| Type of offer: | Graduate job |
| Industry: | Insurance |
| Compensation: | 135300 USD |
| Languages: | English |