Business Intelligence Analyst I (Data Analyst - Digital Engagement Focus) (Hybrid)

MAPFRE

$77K — $135K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

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.

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 and data discrepancies.

Benefits

  • Comprehensive documentation of processes and methodologies.
  • Collaborative environment with cross-functional teams.
  • Opportunities to support both operational and strategic analytics initiatives.
Full 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.


#MAPFRE123

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

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