Senior Marketing Data Analyst

JamfMinneapolis, MN
Hybrid

About The Position

At Jamf, we believe in an open, flexible culture based on respect and trust. Our track record and thriving work environment all stem from the freedom we grant ourselves to get the job done right. We take pride in helping tens of thousands of customers around the globe succeed with Apple. The secret to our success lies in our connectivity, while operating with a high degree of flexibility. Work-life balance remains our priority while feeling connected is important to maintain our strong culture, achieve our goals, and thrive as #OneJamf. We are seeking a highly analytical and technically skilled Senior Marketing Data Analyst to join our Marketing Analytics team. This role will play a critical part in supporting how we measure marketing performance, optimize demand-generation efforts, and drive data-informed decision-making across the organization. The ideal candidate brings experience in B2B SaaS marketing analytics, with strong expertise in DOMO, Salesforce (SFDC), and SQL. This individual will contribute to reporting, data modeling, and attribution efforts, helping evolve our analytics capabilities toward more granular, multi-touch, and tactic-level insights. This role is offered as remote in Minneapolis, MN or Eau Claire, WI. You may be required to work periodically at a Jamf office or collaborative work location with other Jamf employees in your area for certain events or moments that matter.

Requirements

  • Minimum of 5 years of experience in marketing analytics, preferably in a B2B SaaS environment, with advanced hands-on experience in DOMO (dataflows, Beast Modes, dataset design, dashboarding)
  • Strong hands-on expertise with the Salesforce (SFDC) data model and reporting, including Leads, Contacts, Campaign Members, and Opportunities
  • Strong understanding of marketing funnel metrics, demand generation strategies, and the ability to work with large, complex datasets across multiple systems
  • Proven track record of leading complex projects to completion and achieving business objectives
  • Self-starter with strong organizational and analytical skills
  • 4 Year / Bachelor's Degree in Data Science, Computer Science, Statistics, Mathematics, or a related field

Nice To Haves

  • Experience with Marketo as a marketing automation platform, including program structure, lead lifecycle, and Salesforce sync behavior
  • Experience working with Snowflake, dbt, or modern data stack tools
  • Master's degree in relevant field of study

Responsibilities

  • Support the development and enhancement of marketing performance reporting across the funnel by building and maintaining dashboards in DOMO, tracking key KPIs including pipeline generation, conversion rates, and campaign performance, and translating business questions into scalable reporting solutions
  • Contribute to data modeling and transformation efforts by developing datasets and dataflows in DOMO and Snowflake, writing and optimizing SQL, and helping ensure data integrity across systems such as SFDC, Marketo, and web analytics tools
  • Analyze and document the website-to-Marketo-to-Salesforce data flow to identify attribution gaps, lead source inconsistencies, and tracking blind spots; partner with Marketing Automation and Enterprise Applications teams to understand current implementation limitations and contribute to solutioning improvements
  • Leverage the Salesforce data model (Leads, Contacts, Campaign Members, Opportunities) to support reporting and analysis; identify gaps in campaign tracking and lead source consistency; and contribute to data governance improvements across the marketing tech stack
  • Partner cross-functionally with Marketing, Revenue Operations, and Analytics teams to deliver insights, support campaign planning, and clearly communicate findings to both technical and non-technical stakeholders
  • Mentor stakeholders and analysts to develop in-house analytics capabilities; champion platform best practices across DOMO, Salesforce, and Marketo; and drive adoption of consistent reporting standards and data definitions across the marketing org
  • Recommend and shape the analytics technology stack to enhance insights into performance

Benefits

  • volunteer time off
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