Senior Digital Analytics Specialist

3 days ago


Buffalo, New York, United States Imagine Staffing Technology Full time
Job Title: Senior Digital Analytics Specialist

Imagine Staffing Technology is seeking a highly skilled Senior Digital Analytics Specialist to join our team. As a key member of our digital analytics team, you will be responsible for analyzing data and quality control of reporting and analysis for our digital portfolio.

Key Responsibilities:
  • Analyze data and quality control of reporting and analysis for our digital portfolio.
  • Develop fact-based reports that aid management in making decisions related to the creation or expansion of new or existing digital content.
  • Develop creative approaches and methodologies to answer critical business questions, evaluate new digital opportunities, and assess market potential.
  • Improve quality and efficiency of reporting by creating dashboards that key stakeholders utilize to make informed business decisions and automated processes to consolidate data and assist in implementations of tag management and web analytics software.
  • Provide actionable and insightful recommendations from data mining, segmentation, customer profiling, and quantitative analyses with the goals of identifying acquisition, cross-sell, up-sell, and retention opportunities from digital channels.
  • Work closely with business partners to integrate and operationalize approved recommendations into business strategies, plans, and tactics to support increased return on investment through improved channel-specific performance.
  • Partner with Digital Marketing and Content Management teams to create an appropriate measurement strategy for digital content updates and campaigns.
  • Train business partners in the use of analytics capabilities, preparing reports, and properly utilizing report data.
Requirements:
  • Bachelor's degree and a minimum of 4 years marketing, product management, financial, analytics, and/or data management experience, or in lieu of a degree, a combined minimum of 8 years higher education and/or work experience, including a minimum of 4 years marketing, product management, financial, analytics, and/or data management experience.
  • Knowledge of statistical concepts.
  • Experience with Python, SAS, and R.
  • Experience compiling and interpreting technical information.
  • Experience presenting to a non-technical audience.
Preferred Qualifications:
  • Master's degree.
  • Knowledge of pertinent statistical tools and techniques, such as linear regression, time series analysis, factor analysis, cluster analysis, etc. used for modeling, segmentation, and data analysis.
  • Previous financial services industry experience.
  • Experience with pertinent web analytics and tag software.


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