{"id":3685840,"url":"https://alion.io/job/geico-principal-analyst-retention-analytics","title":"Principal Analyst, Retention Analytics","company":{"id":2667051,"name":"GEICO","domain":"geico.com","url":"https://alion.io/company/geico-3","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":85,"open_postings":33,"ghost_share":0,"stale_share":0.606,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["New York, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":146575,"max":229600,"currency":"USD","period":"year","gross":null,"usd_annual":229600},"salary_estimate":null,"experience_years_min":7,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Google BigQuery","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-11-02T00:00:00Z","employer_posted_date":"2026-11-02","last_verified_at":"2026-11-05T12:17:00Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Why Join GEICO?\nAt GEICO, we offer a rewarding career where your ambitions are met with endless possibilities.\nEvery day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.\nFounded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.\nPrincipal Analyst, Retention Analytics\nTeam: Marketing Analytics\nReports To: Senior Manager, Marketing Analytics\nRole Summary\nGEICO’s Marketing department is seeking a senior, hands-on analytics expert to join the Marketing Analytics team as a Principal Analyst, Retention Analytics. This role is embedded with the Retention Marketing team and will be an analytics thought partner to Retention Marketing leaders. The work centers on why policyholders stay, why they leave, and where marketing investment can measurably improve retention. At the Principal level, the analyst is trusted to lead independently from idea through delivery. They will work alongside another analyst to set the retention measurement and insights agenda. They will need to be comfortable taking complex and ambiguous questions from problem definition through actionable recommendation, and deliver executive-ready insights that shape strategy.\nThis is a strategic, hands-on role. The analyst spends most of their time in the data: designing and reading holdouts and tests, building the retention scorecard and forecasts, and turning the results into recommendations. They also advise senior leaders and set the standard for retention measurement. The role emphasizes:\nReframing ambiguous asks into decision-ready questions.\nSetting analytical and quality standards for the team.\nInfluencing senior stakeholders.\nKey Responsibilities\nServe 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.\nOwn the strategy for measuring retention marketing across policyholder touchpoints, including email, direct mail, digital and in-app messaging, and renewal communications. Set the standard for how incremental impact on retention, cancellations, and policies in force is measured.\nSeek out undefined problem spaces and reframe loosely defined asks into decision-ready analytical questions. Anticipate what decision makers need and bring insight before being asked.\nLead the most complex causal questions in retention, such as whether and how communications change cancellation behavior. Choose the right approach, whether holdout design, test-and-control, or quasi-experimental methods for observational data, and be clear about each method’s limitations. Define measurement approaches for communications that have no direct response action, such as education messaging.\nLead forecasting and business case analysis. Use it to size retention opportunities and impacts of initiatives against business targets, and inform investment and prioritization decisions.\nBuild and own the retention scorecard mapped to the business scorecard. Run holdout and test-and-control reads on lifecycle journeys and deliver results on a regular cadence.\nConnect retention to customer lifetime value and combined ratio, including whether CLV reflects renewal beyond the first term, and quantify the retention lift from bundling and multi-line relationships.\nAutomate recurring retention reporting with Business Intelligence so time goes to analysis and the story, not number production.\nDevelop and standardize retention analytics frameworks that the broader team can scale, including KPI definitions, scorecards, and test-read protocols. Partner with Business Intelligence team on durable, automated reporting, and influence data governance and quality standards for retention metrics.\nChoose and combine data based on what the decision needs, not just on what data is available. Anticipate data limitations, guide responsible use across the team, and explore new data sources and how they could be applied to retention.\nCraft executive-ready narratives that influence strategic decisions. Present to senior marketing leadership and defend analytical approaches. Surface the stories stakeholders need to hear, including unwelcome ones, and handle those conversations with empathy and diplomacy.\nSet quality standards for retention analytics and develop QA frameworks and checklists for common analyses. Be accountable for decision risk in analytical outputs.\nBalance 2-3 major strategic initiatives while also supporting ad-hoc asks. Scope work accurately and proactively communicate risks, dependencies, tradeoffs, and factors outside the team’s control. Stay composed under executive requests and conflicting stakeholder priorities.\nInfluence tool selection and best practices for the team. Evaluate and recommend new technologies, including automation and AI tools, to improve efficiency.\nPartner with Data Science, BI, and Data Operations on churn modeling, metric alignment, and shared data assets.\nRequired Qualifications\nBachelor’s degree in a quantitative field (Statistics, Mathematics, Economics, Data Analytics, Data Science, Computer Science, or similar).\n7+ 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.\nExperience working inside a renewal or subscription-based service business (insurance, financial services, banking, telecom, SaaS) where retention is central to the business model.\nExpert SQL skills with deep query optimization knowledge, plus working proficiency in Python or R for analysis and workflow automation.\nExpert in BI tools (Power BI strongly preferred) and the ability to adapt quickly to new tools and platforms.\nRecent, hands-on delivery of analysis (not oversight only), including designing and reading test-and-control or holdout measurement.\nDeep expertise in advanced segmentation, scenario modeling, business case development, and experimental and quasi-experimental measurement design.\nProven track record of presenting to senior leadership and influencing strategic decisions with analytical insight.\nPreferred Qualifications\nExperience coaching and developing other analysts\nExperience in Property & Casualty (P&C) insurance.\nAdvanced degree (MS, MBA, or similar) in a quantitative or analytical field.\nHands-on experience with churn or retention modeling (e.g., propensity models, survival analysis) and causal inference methods (e.g., matched comparisons, difference-in-differences).\nExperience with cloud-based data platforms (BigQuery and/or Snowflake preferred).\nExperience shaping data governance, metric definitions, or tool selection for an analytics team.\nExperience using AI tools to improve workflow productivity and analytical quality (e.g., accelerating research, summarization, analysis, documentation, and automation).\nExperience coaching and developing other analysts.\nAnnual Salary\n$146,575.00 - $229,600.00The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations.\nAt this time, GEICO will not sponsor a new applicant for employment authorization for this position.The GEICO Pledge:\nGreat Company: Protecting customers through life’s twists and turns with innovation and integrity.\nGreat Careers: Personalized development programs, mentorship, and certification assistance.\nGreat Culture: Inclusive and collaborative culture rooted in shared success.\nGreat Rewards: Competitive pay, benefits, and flexibility to support your well-being and future.\nThe equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all 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 law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled.\nGEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.","description_format":"text","description_chars":9470,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Property & Casualty Insurance"],"lifecycle":[{"event":"open","at":"2026-11-03T14:55:49Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":32,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-05T05:54:30Z"},"pay":{"stated_usd_annual":229600,"is_top_pay":true},"html_url":"https://alion.io/job/geico-principal-analyst-retention-analytics","json_url":"https://alion.io/job/geico-principal-analyst-retention-analytics.json","meta":{"generated_at":"2026-11-05T13:44:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":17676,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-06T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2667051},"rest":"https://alion.io/mcp/rest/get_company?id=2667051"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgeico-principal-analyst-retention-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgeico-principal-analyst-retention-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgeico-principal-analyst-retention-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/geico-principal-analyst-retention-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgeico-principal-analyst-retention-analytics"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3685840}},{"tool":"search_jobs","arguments":{"company":"geico.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3685840},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}