Senior Manager, Data Analytics

MDG has an exciting opportunity for a Senior Manager, Data Analytics who will work alongside the Analytics, Media, Digital Technology and Client Services teams to develop actionable intelligence and insights for clients and the agency.

Responsibilities:

• Work with internal stakeholders to understand data sources, processes and KPIs, and build dashboard and tools to help teams effectively track these measures
  

• Help identify KPIs and calculate metrics, including CPM, CPC, CPE, CPA, ROI, etc.
  

• Develop intuitive, scalable dashboards, reports and analyses to track performance and aid in planning and decision-making
  

• Analyze complex data sets and transform raw data into actionable insights that ensure marketing efforts are effectively driving awareness, conversion, growth and revenue
  

• Identify, measure and track customer acquisition cost and ROI utilizing a variety of methods, including performing match backs
  

• Utilize warehousing, ETL and visualization tools, such as Google Data Studio, PowerBI, Tableau, Domo, etc., to build and maintain efficient and scalable processes
  

• Gather and analyze data for target profiling and segmentation
  

• Proactively monitor dashboards to identify trends and suggest optimizations to marketing efforts
  

• Present the summary and interpretation of marketing data, including campaign and web analytics, and provide insight and recommendations to marketing teams and clients
  

• Assist with campaign tagging and tracking implementation as well as ongoing management and maintenance leveraging Google Tag Manager, Google Analytics and other digital marketing platforms
  

• Assist it developing insights relating to the customer and attribution modeling
  

• Perform other duties and projects as assigned by leadership
  

• 6+ years hands-on experience in marketing data analytics or similar field
  

• Bachelor’s degree in Data Science, Computer Science, Information Technology, Economics, Information Systems, Statistics, Applied Math or another relevant field
  

• Extensive experience managing large datasets in different formats such as Excel, Access, SQL database, online sources, data warehouses, etc.
  

• Experience with business intelligence, ETL and data visualization platforms such as Google Data Studio (required), PowerBI, Tableau, Domo, etc.
  

• Advanced Excel power user
  

• Ability to communicate complex findings in a structured and clear manner to a non-technical audience, and operate in a fast-paced, dynamic team environment
  

• Experience with digital marketing data sources and tools such as Google Analytics (required), Google Ads, Google Tag Manager (required), Facebook, Yelp, Waze, CallRail, Marchex, Zapier, etc.