Marketing Data Analytics Manager

19 hours ago


Duluth, Georgia, United States Vensure Employer Solutions Full time

We are a proud work-from-office company. If you're ready to work on-site in a dynamic, global company, we'd love to hear from you.

About Us

Vensure Employer Solutions is the largest privately held organization in the HR technology and service sector, providing a comprehensive portfolio of solutions, including HR/HCM technology, managed services, and global business process outsourcing (BPO). The company and its service providers collectively serve over 95,000 businesses and process over $135B in annual payroll. As a "One Employer Solution" headquartered in Chandler, Arizona, Vensure helps thousands of businesses streamline and grow their operations with custom strategies that benefit both employers and employees. Find out more by visiting  .

Position Summary

As a Manager of Marketing Analytics, you'll be responsible for reporting on the entire marketing funnel-from lead engagement to upsell opportunities. You will be responsible for the technical creation of reports and dashboards, connection of systems, and troubleshooting as required. You will not only be able to answer queries from business leaders with clear data, but you'll be able to study data and provide actionable insights proactively. When needed, you'll collaborate with Business Units, Sales Operations, and IT teams to optimize existing technology for optimal reporting and suggest new pieces to the tech stack

Essential Duties and Responsibilities

Data Analysis and Reporting:

  • Be the centralized owner of the Marketing data in the CRM, which includes stabilizing the data environment in conjunction with the Sales Ops and Marketing Ops teams, providing organizational comprehension of database and CRM components, and ensuring data-driven capabilities are leveraged in marketing and sales efforts
  • Analyze marketing and sales data to identify trends, patterns, and insights.
  • Create and maintain dashboards and reports to track key performance indicators (KPIs).
  • Help prepare weekly, monthly and quarterly department business review and ad hoc report requests for Business Units and Marketing Leadership Team.
  • Help in maintaining the integrity of marketing and CRM databases by with data hygiene processes, conducting data appending, performing system audits, and enforcing governance measures.

Campaign Optimization:

  • Monitor and analyze the performance of marketing campaigns.
  • Proactively identify areas for improvement with tracking and assist teams with strategies and implementation to optimize.
  • Work closely with the marketing team to refine targeting and messaging based on data insights.

Marketing Technology Management:

  • Collaborate with Digital & Technology team, Sales Operations Team and Sales Analytics team in integrating marketing systems with other business systems.
  • Own implementation and oversight of Marketing data into organization business intelligence platform

Knowledge, Skills, and Abilities

  • Data analytics proficiency
  • Critical thinking for effective problem-solving
  • Must be able to handle multiple projects simultaneously without compromising the accuracy and precision
  • Conceptual and practical handling of SQL databases along with database querying languages
  • Data visualization
  • Experience in marketing and/or product management
  • Experience with data analysis and mapping
  • Experience in statistical model building
  • Proficiency with Microsoft Office, including Word, Excel, and PowerPoint
  • Proven experience with digital revenue attribution and customer segmentation
  • Hands-on work with Power BI or other Business Intelligence Tools
  • Hands-on experience working with marketing data, including advertising, web analytics and email data sources
  • Deep working knowledge of including reporting

Education & Experience

  • Bachelor's degree in business, marketing, computer science, or a related field
  • A minimum of five years of experience in a global organization handling and analyzing large data sets


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