Digital Analytics Manager
 

Are you looking for a placewhere you can bring yourpassion for advancing the systems, data models, reporting capabilities, and analytical frameworks that enableaccurateand insightful measurement across the organization?

Bring your experience and be empowered to innovate.  

As a Digital Analytics Manager on the Digital Analytics team, a typical day for you will include: 

• Develop and maintain scalable datasets, data models, and data pipelines that support digital marketing reporting and analysis.  

• Integrate and analyze data from platforms such as Google Analytics 4, Google Ads, Google Business Profile, call-tracking platforms, SEO tools, and other digital marketing systems.  

• Develop and manage dashboards and reporting solutions that provide visibility into website, lead generation, digital media, and marketing performance.  

• Build scalable, automated reporting solutions for franchise owners, leveraging tools such as Python to efficiently generate and distribute consistent, location-level insights across Neighborly’s franchise network.  

• Lead recurring and ad hoc analyses that identify the drivers of website traffic, lead generation, conversion performance, and digital marketing results across Neighborly’s brands. 

Bring your skills and be inspired to achieve success. 

• Experience:

  • 4+ years of experience in Digital Analytics, Marketing Analytics, Analytics Engineering, Business Intelligence, or any related analytical roles.
  • Experience in building and maintaining data models, reporting tables, or analytical data pipelines in a cloud-based data warehouse such as Google Cloud or AWS.
  • Experience using digital analytics platforms such as Google Analytics to understand traffic sources, user behavior, lead generation, and website performance.
  • Experience developing dashboards and reporting solutions using tools such as Google Data Studio, Tableau, Amazon Quicksight or a similar business intelligence platform.

• Skills:

  • Strong Analytical and problem-solving skills, with the ability to investigate data issues and independently develop practical solutions.
  • Advanced SQL skills and experience working with large, complex datasets.
  • Ability to translate complex technical concepts and analytical findings into clear business language.
  • Ability to manage multiple projects simultaneously and work autonomously with minimal supervision.
  • Experience leading analysts, managing analytical projects, or providing technical direction to team members.