Sr. Manager of Marketing Intelligence & Analytics

GREASE MONKEY INTERNATIONAL•Greenwood Village, CO

4d•$130,000 - $150,000•Hybrid

About The Position

FullSpeed Automotive is seeking a Senior Manager of Marketing Intelligence & Analytics to turn complex data into actionable insights that improve marketing effectiveness, customer acquisition and retention, car count, and profitability across its national automotive maintenance and repair network. The role is a primary analytical partner to Marketing, combining advanced analytical capabilities and business acumen to evaluate channel and customer performance, develop analytical frameworks, and inform campaign strategy and investment decisions. It also supports franchise-level sales analytics, connecting marketing performance to sales, car count, average ticket, and same-store results. The position independently frames complex business questions, leads sophisticated analyses, uses modern technologies and external partners, and influences decisions across Marketing, Finance, Operations, and executive leadership. It is hybrid and reports into the Denver office Monday through Thursday. The role reports to the CFO and is exempt. The anticipated base salary is $130,000–$150,000 annually, based on experience and qualifications, with eligibility for a performance-based bonus. Full-time employees are eligible for medical, dental, and vision insurance, a 401(k) plan, paid time off, and paid holidays. Applications are reviewed on a rolling basis, with an anticipated closing date of November 27, 2026.

Requirements

Bachelor’s degree in Data Analytics, Marketing, Economics, Statistics, Finance, Data Science, or a related field.
At least 7 years of experience in marketing analytics, business intelligence, data science, or a similar data-driven role, including independently leading complex analytical initiatives.
Demonstrated experience in marketing performance measurement, advanced analytics, and multichannel marketing environments.
Advanced SQL skills and experience with Snowflake or comparable enterprise data platforms.
Proficiency in Tableau dashboard development.
Strong Excel, financial modeling, and data-wrangling skills.
Strong understanding of statistical analysis, experimental design, and marketing performance measurement.
Working knowledge of major marketing disciplines and channels, including paid search, paid social, programmatic and traditional media, SEO and local search, CRM, direct mail, email, SMS, and website analytics and conversion optimization.
Proficiency with GA4 and Google Ads reporting, and familiarity with measurement and performance metrics for other major marketing platforms.
Experience partnering with external marketing agencies, data science specialists, and analytics vendors.
Ability to connect marketing performance to customer behavior, store operations, sales outcomes, and financial results.
Ability to independently frame complex business problems, select appropriate analytical methodologies, and develop actionable recommendations.
Ability to lead analytical initiatives, influence cross-functional stakeholders, coordinate internal and external resources, and prioritize competing analytical needs in a lean organization.
Fluency with generative AI assistants and modern analytical tools to accelerate data exploration, research, analysis, and reporting.
Ability and willingness to work occasional evenings and weekends as needed.
Ability to remain stationary while working on a computer and communicating by phone, video conferencing, and email, and to move throughout the workplace as needed, with or without reasonable accommodations.

Nice To Haves

Master’s degree.
Experience in multi-unit retail, automotive services, or franchise operations.
Advanced Python or R skills for statistical analysis, predictive modeling, and machine learning.
Experience with marketing mix modeling, causal inference, incrementality measurement, attribution, and optimization across digital and offline channels.
Experience developing or managing customer segmentation, propensity, churn, and forecasting models.
Demonstrated experience leading and mentoring analytical teams.

Responsibilities

Lead development, automation, and maintenance of the Marketing KPI CMO Dashboard, approximately 10–20 recurring reports, and anomaly-detection capabilities; ensure accurate, timely reporting and proactively identify changes in marketing and business performance.
Analyze performance across brands, markets, franchise locations, and customer segments, connecting marketing activity to sales, car count, average ticket, same-store performance, and profitability.
Lead complex analyses integrating Marketing, Finance, Operations, and customer data to diagnose business performance, identify drivers, and recommend actions.
Analyze channel and customer performance across paid search, paid social, programmatic and traditional media, direct mail, email, SMS, CRM, organic and local search, and website performance; assess the customer journey through conversion, acquisition, retention, and sales outcomes.
Develop and refine marketing measurement and attribution frameworks connecting investments to customer behavior, incremental sales, and return on investment.
Use descriptive, predictive, and prescriptive analytics—including segmentation, propensity, churn, retention, and demand forecasting—to identify performance drivers and inform marketing strategy.
Partner with external agencies and analytical specialists to evaluate methodologies, validate models, and apply insights to marketing strategy and execution.
Partner with Marketing, Finance, and Operations to evaluate promotions, discounts, and pricing initiatives against unit-level sales results and provide data-driven recommendations.
Translate business questions into testable hypotheses and partner with Marketing to design and execute A/B, multivariate, and geographic experiments using MarketDial and other analytical tools.
Establish testing methodologies, including control groups, statistical validation, and causal inference, and turn experimental findings into actionable recommendations.
Evaluate marketing investment effectiveness and identify opportunities to improve resource allocation, efficiency, and incremental results.
Develop competitive and market intelligence analyses on consumer demand, competitive conditions, customer behavior, and local market dynamics to inform marketing, messaging, offer, and promotional strategies.
Work with Marketing, Finance, IT, and other groups to identify data-source gaps, improve data quality, and evolve data infrastructure and analytical capabilities.
Apply modern analytical technologies, automation, and AI-enabled tools to improve data exploration, modeling, reporting, and insight development.
Serve as a senior analytical partner to Marketing leadership, frame complex questions, lead analytical initiatives, and coordinate internal and external analytical resources.
Communicate findings through presentations, dashboards, and executive discussions, translating complex analysis into clear recommendations that influence decisions.