Sr. Director, Marketing Analytics

Cinch Home Services, Inc.

• $150K — $180K *
US-AnywhereRemote in United States
Business Services
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field or equivalent experience
  • MBA or Master's in Applied Data Analytics preferred
  • 7+ years of analytics experience in Marketing and Sales, preferably in subscription-based environments
  • 7+ years managing learning agendas and measurement protocols
  • 5+ years in data science and analytics, including web and marketing analytics
  • Expertise in SQL and Python
  • Strong influencing and storytelling skills with business leaders
  • Collaborative attitude with a hands-on approach

Responsibilities

  • Collaborate with business leaders to develop data-driven strategies and insights
  • Lead the creation of learning agendas and performance measurement initiatives
  • Oversee and mentor a team of analysts and guide data scientists
  • Integrate data collection and analytics into applications
  • Utilize data mining to extract actionable business insights
  • Establish and maintain data governance processes and policies
  • Ensure data integrity and quality for analytics initiatives
  • Partner with technology and data teams to enhance data infrastructure for AI readiness

Benefits

  • Collaborative work environment
  • Opportunities for professional growth and development
  • Engagement with cross-functional teams
  • Exposure to advanced analytics and AI strategies
  • Impact on the company’s strategic business priorities
Full Job Description
The Director, Marketing & Sales 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
• Perform other duties as assigned

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