Senior Analyst, Analytics & Insights

DatasiteMinneapolis, MN
1dHybrid

About The Position

We are seeking a Senior Analyst to join our Marketing Analytics team. In this role, the Senior Analyst delivers insights that guide marketing strategy and business decisions. The role analyzes full‑funnel performance across business units, develops target segments in Data Cloud, and partners across teams to identify optimization opportunities. This role is for someone that likes to dive deep into data and provide insights and recommendations.

Requirements

  • Bachelor’s degree in Analytics, Economics, Statistics, Marketing, Business, Computer Science, or related quantitative discipline.
  • 7+ years of experience in marketing analytics, revenue operations, or business intelligence.
  • Strong experience with Salesforce, SQL, and BI tools (e.g., Datorama, CRMA, Tableau, Power BI).
  • Proven ability to translate complex data into insights and recommendations for senior stakeholders.
  • Ability to integrate and analyze data from multiple sources (CRM, marketing automation, external providers).

Nice To Haves

  • Background in B2B SaaS or tech‑enabled services.
  • Experience with Data Cloud / Data 360, including segment creation and evaluation.
  • Familiarity with B2B marketing‑funnel metrics and working with global or multi‑region data.

Responsibilities

  • Analyze marketing performance across business lines by measuring top‑of‑funnel activities and conversion metrics to identify optimization opportunities.
  • Define and build target segments within Data Cloud and measure segment performance to inform GTM strategy.
  • Gather and clarify reporting and segmentation requirements, then execute with precision to deliver accurate dashboards, analyses, and audience segments.
  • Conduct in‑depth data analysis to uncover trends and insights; evaluate B2B marketing‑funnel performance and recommend optimizations in partnership with marketing teams.
  • Build executive-ready reports and dashboards that clearly communicate insights and enable data‑driven decision-making.
  • Translate business questions into analytical problems and convert real-world data into actionable recommendations that drive business outcomes.

Benefits

  • health insurance (medical, dental, vision)
  • a retirement savings plan
  • paid time off
  • other employee benefits
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