Director Marketing Analytics

Cinch Home Services; United States; On-site; USD 180,000 - 240,000; Full time

Job summary

Cinch Home Services is seeking a Director of Marketing Analytics to lead analytics-driven decision making across Marketing and Sales. You will chair learning agenda development, measurement protocols, and guide data scientists, BI, and data engineers through discovery to scalable initiatives.

The role requires advanced expertise in SQL and Python, 7+ years in analytics, and a proven ability to influence business leaders while thriving in a fast-paced environment.

Qualifications

• 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, with preferably 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, Python
• Experience with 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, someone used to work in a fast‑paced environment
• The ability to evaluate processes and drive continuous improvement.

Responsibilities

• Working closely with the business leaders and their reports in building data driven strategy, insight and recommendations in line with the Company’s business priorities
• Be D&A’s point leader working with the business for the creation of learning agendas, test and learn setups, performance measurement and the development of so‑what conclusions
• The role will oversee a team of analyst direct reports, as well as be the guide to D&A’s data scientists, BI & data engineers, and PMO leaders through discovery, development, prototyping and ultimately scaling of successful initiatives
• Integrate data collection, data quality, and advanced analytics output into application
• Apply data mining techniques to uncover actionable business insights
• Establish, define the data governance created process and policies for your areas
• Ensure and improve data integrity, data accuracy, and data quality
• Oversee machine learning model development partnering with the data science team
• Partner with Technology teams, and D&A’s data engineering, data science, and business intelligence teams to build a scalable data infrastructure to support ai readiness
• Identify and utilize 3rd party data sources to enhance analytics
• Lead executive level presentations and strategy discussions

Skills

Influencing

Storytelling

Collaborative mindset

Fast-paced environment

Education

Bachelor’s degree in CS/ Economics/ Information Systems/ Statistics/ OR related field

MBA or Masters in Applied Data Analytics

Tools

SQL

Python

Job description

The Director, Marketing Analytics will report to the Chief Data & Analytics Officer and be responsible for delivering business priorities and through testing and measurement, Insights, and Advanced Analytics. The role will work in a highly matrixed manner with the business– i.e. the leaders of the Marketing and Product teams. This person will serve as the primary interface for delivering the Data & Analytics shared goals with these business units, contributing to delivering the budget, shared business priorities, and strategy. This leader is also expected to act as a key stakeholder and partner supporting Learning Agenda development, and the shaping of the Company’s data & AI strategies and technology roadmap.

What You Have

• 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, with 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, Python
• Experience with 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, someone used to work in a fast‑paced environment
• The ability to evaluate processes and drive continuous improvement

What You’ll Do

• Working closely with the business leaders and their reports in building data driven strategy, insight and recommendations in line with the Company’s business priorities
• Be D&A’s point leader working with the business for the creation of learning agendas, test and learn setups, performance measurement and the development of so‑what conclusions
• The role will oversee a team of analyst direct reports, as well as be the guide to D&A’s data scientists, BI & data engineers, and PMO leaders through discovery, development, prototyping and ultimately scaling of successful initiatives
• Integrate data collection, data quality, and advanced analytics output into application
• Apply data mining techniques to uncover actionable business insights
• Establish, define the data governance created process and policies for your areas
• Ensure and improve data integrity, data accuracy, and data quality
• Oversee machine learning model development partnering with the data science team
• Partner with Technology teams, and D&A’s data engineering, data science, and business intelligence teams to build a scalable data infrastructure to support ai readiness
• Identify and utilize 3rd party data sources to enhance analytics
• Lead executive level presentations and strategy discussions