Principal Analyst, Retention Analytics

GEICO•Bethesda, MD

7d•$146,575 - $229,600

About The Position

GEICO’s Marketing department is seeking a senior, hands-on analytics expert to join the Marketing Analytics team as a Principal Analyst, Retention Analytics. Embedded with the Retention Marketing team, this role serves as an analytics thought partner to Retention Marketing leaders and senior stakeholders. The work focuses on understanding why policyholders stay or leave and where marketing investment can measurably improve retention. The Principal Analyst independently leads work from problem definition through delivery, partnering with another analyst to set the retention measurement and insights agenda. The role requires turning complex, ambiguous questions into actionable recommendations and delivering executive-ready insights that shape strategy. It is strategic and hands-on, with substantial time spent designing and interpreting tests and holdouts, building retention scorecards and forecasts, and translating findings into recommendations. The role sets standards for retention measurement and analytics quality, influences senior stakeholders, and balances major strategic initiatives with ad hoc requests. It also partners with Business Intelligence, Data Science, and Data Operations on reporting, churn modeling, metric alignment, and shared data assets.

Requirements

Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Data Analytics, Data Science, Computer Science, or a similar field.
7+ years of experience in marketing analytics, customer analytics, or a closely related role, including leading measurement and insight work for retention, lifecycle, or CRM programs.
Experience working in a renewal- or subscription-based service business where retention is central, such as insurance, financial services, banking, telecom, or SaaS.
Expert SQL skills, including deep query optimization knowledge, plus working proficiency in Python or R for analysis and workflow automation.
Expertise in BI tools; Power BI is strongly preferred, with ability to adapt quickly to new tools and platforms.
Recent hands-on delivery of analysis, including designing and interpreting test-and-control or holdout measurement.
Deep expertise in advanced segmentation, scenario modeling, business case development, and experimental and quasi-experimental measurement design.
Proven track record of presenting to senior leadership and influencing strategic decisions with analytical insight.

Nice To Haves

Experience coaching and developing other analysts.
Experience in Property & Casualty (P&C) insurance.
Advanced degree (MS, MBA, or similar) in a quantitative or analytical field.
Hands-on experience with churn or retention modeling, such as propensity models or survival analysis, and causal inference methods, such as matched comparisons or difference-in-differences.
Experience with cloud-based data platforms; BigQuery and/or Snowflake are preferred.
Experience shaping data governance, metric definitions, or tool selection for an analytics team.
Experience using AI tools to improve workflow productivity and analytical quality, including research, summarization, analysis, documentation, and automation.

Responsibilities

Serve as an analytics thought partner to Retention Marketing leadership and the primary point of contact for senior stakeholders; shape the retention measurement and insights agenda.
Own the strategy for measuring retention marketing across policyholder touchpoints, including email, direct mail, digital and in-app messaging, and renewal communications.
Set standards for measuring incremental impact on retention, cancellations, and policies in force.
Reframe loosely defined requests into decision-ready analytical questions and anticipate decision makers’ information needs.
Lead complex causal analyses of retention, selecting appropriate holdout, test-and-control, or quasi-experimental methods and explaining their limitations.
Define measurement approaches for communications without a direct response action, such as education messaging.
Lead forecasting and business case analysis to size retention opportunities and initiative impacts against business targets, and inform investment and prioritization decisions.
Build and own the retention scorecard mapped to the business scorecard; run holdout and test-and-control reads on lifecycle journeys and deliver results regularly.
Connect retention to customer lifetime value and combined ratio, assess whether CLV reflects renewal beyond the first term, and quantify retention lift from bundling and multi-line relationships.
Automate recurring retention reporting with Business Intelligence so effort can focus on analysis and interpretation.
Develop scalable retention analytics frameworks, including KPI definitions, scorecards, and test-read protocols.
Partner with Business Intelligence on durable automated reporting and influence data governance and quality standards for retention metrics.
Select and combine data to suit analytical decisions, anticipate limitations, guide responsible data use, and explore new data sources for retention applications.
Craft executive-ready narratives, present and defend analytical approaches to senior marketing leadership, and communicate difficult findings with empathy and diplomacy.
Set quality standards and develop QA frameworks and checklists for common analyses; be accountable for decision risk in analytical outputs.
Balance 2–3 major strategic initiatives alongside ad hoc requests; scope work and communicate risks, dependencies, tradeoffs, and factors outside the team’s control.
Influence tool selection and team best practices; evaluate and recommend technologies, including automation and AI tools, to improve efficiency.
Partner with Data Science, Business Intelligence, and Data Operations on churn modeling, metric alignment, and shared data assets.