Senior Director, Marketing Analytics

Cinch Home Services

. Report to the Chief Data & Analytics Officer .

Posted 9/29/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data analytics, machine learning, and statistical methods to drive business value, while effectively collaborating with cross-functional teams to develop and implement data-driven strategies. Proven ability to lead teams, manage learning agendas, and communicate insights to executive leadership.

Highest-signal resume keywords

Data AnalyticsMachine LearningSQLPythonStatistical Methods

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceWeb AnalyticsMarketing AnalyticsData GovernanceData QualityData MiningPerformance MeasurementLearning Agenda DevelopmentBudget DeliveryAdvanced Analytics

Soft Skills

InfluencingWritten CommunicationOral CommunicationCollaborationContinuous Improvement

Tools & Technologies

Business IntelligenceData EngineeringData InfrastructureAI ReadinessThird-Party Data Sources

Certifications & Qualifications

Bachelor’s DegreeMBA or Masters in Applied Data Analytics (Preferred)

Industry Keywords

Subscription-Based CompaniesMarketingSalesConsultingAgency

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Report to the Chief Data & Analytics Officer
Deliver business priorities through testing and measurement, insights, and advanced analytics
Work in a highly matrixed manner with Marketing and Product leaders
Serve as the primary interface for Data & Analytics shared goals with Marketing and Product
Contribute to budget delivery, shared business priorities, and strategy
Support Learning Agenda development and shape the Company’s data and AI strategies and technology roadmap
Build data-driven strategy, insights, and recommendations aligned with business priorities
Lead learning agendas, test-and-learn setups, performance measurement, and so-what conclusions
Oversee analyst direct reports and guide data scientists, BI and data engineers, and PMO leaders through discovery, development, prototyping, and scaling initiatives
Integrate data collection, data quality, and advanced analytics output into applications
Apply data mining techniques to uncover actionable business insights
Establish data governance processes and policies
Ensure and improve data integrity, accuracy, and quality
Oversee machine learning model development with the data science team
Partner with Technology, data engineering, data science, and business intelligence teams to build scalable data infrastructure supporting AI readiness
Identify and utilize third-party data sources to enhance analytics
Lead executive-level presentations and strategy discussions
Perform other duties as assigned

Requirements

What you’ll need

Bachelor’s degree in computer science, Economics, Information Systems, Statistics, Operations Research, Applied Math, or another related field or equivalent work experience
MBA or Masters, Applied Data Analytics preferred but not required
7+ years of experience using analytics and statistical methods to deliver business value in Marketing and Sales, preferably with some time spent in subscription-based companies, agency or consulting
7+ years of experience managing the development of learning agendas and measurement protocol
5+ years of experience in data science, data analytics, web analytics, and marketing analytics
Expert experience with SQL and Python
Experience managing data scientists through development, deployment and operationalization of statistical models in a production environment
Strong influencing and written/oral storytelling capability with proven experience working directly with business leaders
A positive, collaborative attitude and hands-on style, with experience working in a fast-paced environment
Ability to evaluate processes and drive continuous improvement