Principal Analyst, Retention Analytics

GEICO•New York City, NY

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 position serves as an analytics thought partner to Retention Marketing leaders, helping explain why policyholders stay or leave and where marketing investment can measurably improve retention. The Principal Analyst independently leads work from problem definition through delivery and partners with another analyst to set the retention measurement and insights agenda. The role requires turning complex or ambiguous questions into actionable recommendations and producing executive-ready insights that shape strategy. It is strategic and hands-on, with most time spent designing and interpreting holdouts and tests, building retention scorecards and forecasts, and translating results into recommendations. The analyst also advises senior leaders and sets standards for retention measurement, analytical quality, and team practices. The role reports to the Senior Manager, Marketing Analytics. The annual salary range is $146,575 to $229,600. GEICO will not sponsor a new applicant for employment authorization for this position.

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 retention, lifecycle, or CRM measurement and insight work.
Experience working in a renewal- or subscription-based service business where retention is central to the business model, such as insurance, financial services, banking, telecom, or SaaS.
Expert SQL skills, including deep query optimization knowledge.
Working proficiency in Python or R for analysis and workflow automation.
Expertise in BI tools; 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 experience 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 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, such as research, summarization, analysis, documentation, and automation.

Responsibilities

Serve as an analytics thought partner to Retention Marketing leadership and 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.
Identify undefined problem spaces and turn loosely defined requests into decision-ready analytical questions; anticipate decision makers’ needs and proactively provide insights.
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 analyses 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 analyses on lifecycle journeys and deliver results on a regular cadence.
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 the team can focus on analysis and communication of results.
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 based on decision needs, anticipate data limitations, guide responsible data use, and explore potential applications of new data sources.
Develop 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; remain accountable for decision risk in analytical outputs.
Balance 2–3 major strategic initiatives alongside ad-hoc requests, scope work accurately, and proactively communicate risks, dependencies, tradeoffs, and external factors.
Stay composed amid executive requests and conflicting stakeholder priorities.
Influence tool selection and team best practices, and evaluate and recommend technologies, including automation and AI tools, to improve efficiency.
Partner with Data Science, BI, and Data Operations on churn modeling, metric alignment, and shared data assets.