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Torentify
Torentify

Data Analyst, Sr. - Remote Work

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

Senior

Tech stacks

Data
Data analytics
Support
+41

Visa

U.S. visa required

Permanent role
2 days ago
Apply now

About the Role

GEICO is seeking a Senior Principal Data Analyst to develop and maintain advanced data solutions, reporting frameworks, dashboards, and visualizations that support business insights and strategic decision-making. Working with business stakeholders, data engineers, architects, governance teams, and technology partners, this role translates business requirements into scalable analytical solutions.

The position involves leading complex analytical initiatives, overseeing data preparation and governance, developing reporting and modeling solutions, and identifying opportunities to improve business performance through data-driven decisions. The role supports several business functions, including Underwriting, Claims, Marketing, Advertising, and Product Management.

Key Responsibilities

  • Lead the design, development, and maintenance of data models, analytical solutions, reports, and dashboards.
  • Manage complex data extraction, transformation, and validation processes to ensure data quality and accuracy.
  • Serve as a subject matter expert across multiple business and data domains.
  • Translate business problems into analytical approaches and actionable recommendations.
  • Perform advanced statistical analysis, data mining, forecasting, and research to support business objectives.
  • Develop solutions to address complex business challenges and improve operational performance.
  • Lead data exploration, proof-of-concept initiatives, and research into emerging analytical methodologies.
  • Oversee departmental data sources and ensure consistent application of data standards and governance practices.
  • Validate, reconcile, and monitor data sources for reasonableness, completeness, and accuracy.
  • Maintain documentation, including data definitions, business rules, technical specifications, and analytical methodologies.
  • Identify and implement new data sources and technologies to improve analytics capabilities.
  • Partner with Data Governance and Technology teams on enterprise data initiatives.
  • Oversee management reporting for key business and operational metrics.
  • Design and automate recurring reports, scorecards, and dashboards.
  • Analyze trends related to loss frequency, severity, geographic performance, customer behavior, operational effectiveness, and product performance.
  • Present analytical findings and business recommendations to leadership and stakeholder groups.
  • Lead cross-functional analytical projects from concept through implementation.
  • Manage project plans, priorities, deliverables, and stakeholder communications.
  • Drive analytical initiatives supporting strategic business objectives and product enhancements.
  • Coordinate with technology teams on system enhancements, data requirements, and testing.
  • Support production implementation of analytical models and business solutions.
  • Automate and optimize processes to improve efficiency, scalability, and data quality.
  • Research emerging technologies, analytical techniques, and industry best practices.
  • Identify opportunities to increase business value through advanced analytics and process innovation.
  • Advise business partners on analytical strategies, decision support, and performance improvement.
  • Provide technical guidance to junior analysts and team members.
  • Review analytical work and provide coaching to maintain quality and consistency.
  • Develop and deliver training on analytical methods, tools, data interpretation, and business applications.
  • Promote continuous learning and analytical excellence.

Required Qualifications

  • Bachelor's degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operations Research, or a related quantitative field.
  • Master's degree or PhD in a quantitative discipline.
  • At least 9 years of analytical experience with a bachelor's degree, or at least 7 years with a master's degree.
  • Experience leading complex analytical projects and cross-functional initiatives.
  • Advanced SQL/SAS SQL proficiency.
  • Experience with cloud-based data platforms and databases.
  • Strong proficiency in R.
  • Advanced Microsoft Excel skills, including Pivot Tables, VLOOKUP/XLOOKUP, charts, data visualization, complex formulas, and analysis.
  • Experience creating analytical reports, dashboards, and data models.
  • Ability to apply statistical, mathematical, and data mining techniques to solve business problems.
  • Strong written and verbal communication skills.
  • Ability to work independently and collaboratively, manage competing priorities, and learn complex technical, business, and operational concepts.
  • Ability to perform essential job functions with or without reasonable accommodation, including seeing, hearing, speaking, and using computer systems.

Preferred Qualifications

  • Experience working in insurance, financial services, or other highly data-driven environments.
  • Background supporting Claims, Underwriting, Marketing, Product Management, or Pricing.
  • Python programming experience.
  • Experience with business intelligence and visualization tools such as Power BI, Tableau, or similar platforms.
  • Experience with machine learning and predictive analytics.
  • Familiarity with data governance and data quality frameworks.

Business Knowledge & Core Competencies

  • Understanding of insurance products, rating methodologies, and insurance principles.
  • Knowledge of Claims, Underwriting, Marketing, Agency Operations, or related insurance functions.
  • Experience with project management, process improvement, and operational analytics.
  • Ability to translate data insights into business recommendations.
  • Strategic thinking, analytical problem-solving, and project leadership.
  • Stakeholder management, data storytelling, and communication.
  • Innovation, continuous improvement, collaboration, and influencing skills.
  • Attention to detail, mentoring, and team development.

Salary & Benefits

  • Annual salary range: $100,000–$300,000.
  • Competitive pay and benefits.
  • Personalized development programs, mentorship, and certification assistance.
  • Flexibility to support employee well-being and future needs.

The stated salary range is a general guideline. The final compensation offer will consider the role's scope and responsibilities, the candidate's experience, education, training, work location, and market and business considerations.

Work Arrangement & Locations

  • Remote within the United States.
  • Bethesda, Maryland.
  • Beachwood, Ohio.

Employment Authorization

GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.

About GEICO

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. The company provides coverage to millions of customers and focuses on innovation, customer service, and supporting local communities.

GEICO's Pledge is built around four commitments: Great Company, Great Careers, Great Culture, and Great Rewards.

Equal Employment Opportunity

GEICO provides equal employment opportunities to associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability, or genetic information, in compliance with applicable federal, state, and local laws.

GEICO hires and promotes individuals based on their qualifications for the position. The company reasonably accommodates qualified individuals with disabilities to support equal employment opportunities and the performance of essential job functions, unless doing so would impose an undue hardship.

GEICO is committed to maintaining a productive work environment free from discrimination, harassment, and intimidation, where all associates and applicants are treated with mutual respect.

About Torentify

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