Senior Marketing Analyst – Audience Strategy & Insights-6376

San Jose, CA (Hybrid)

$50/hr – $52/hrSenior Level8+ years expContract

Posted 5 hrs ago

Job Summary

Own end-to-end audience analytics and activation, from deep analysis and segmentation to building automated reporting and presenting insights to leadership across cross-functional teams.

  • Own audience analysis, segmentation, revenue opportunity sizing, and quantitative business cases
  • Collaborate with Data Scientists and Data Engineers on pipelines and automated dashboards

Job Description

Responsibilities

  • Deliver deep audience analysis, including segmentation, lifecycle and funnel analysis, growth and churn signals, and revenue and adoption attribution.
  • Size revenue opportunities and build the business case for which audiences to prioritize.
  • Define how business questions should be answered, including what to measure, the methodology to use, and which assumptions apply.
  • Pull, clean, and analyze large datasets (millions of records) using advanced SQL, reconciling data across sources and root-causing discrepancies before they reach reporting.
  • Partner with Data Scientists and Data Engineers to define business logic, data models, and pipelines, and validate what is built.
  • Build automated reporting and self-service dashboards that eliminate manual data pulls.
  • Translate audience definitions into campaign-ready segments in a customer data platform, in partnership with campaign and lifecycle owners, and present findings and recommendations to senior leadership and cross-functional partners.
  • Attend regular internal practice community meetings.
  • Collaborate with your itD practice team on industry thought leadership.
  • Complete client case studies and learning material (blogs, media material).

Requirements

  • 8+ years of experience in marketing analytics, data science, data engineering, or business analytics.
  • Expert-level SQL, including complex queries, CTEs, window functions, and query optimization across datasets of millions of records.
  • Proven track record owning audience or customer analysis end to end: segmentation, lifecycle and funnel analysis, revenue opportunity sizing, and quantitative business cases with clearly stated assumptions and limitations.
  • Hands-on experience with a customer data platform (preferably Salesforce Data Cloud) to build and activate segments.
  • Demonstrated ability to partner with Data Scientists and Data Engineers on business logic and data pipelines, manage multi-source data across CRM, product, engagement, and third-party sources, and stand up automated reporting and dashboards (e.g., Tableau).
  • Background in B2B marketing, sales, or customer analytics, with experience presenting to and influencing senior leadership and communicating with both technical and non-technical audiences.
  • Bachelor’s degree in a quantitative, technical, or business field, or equivalent practical experience, required.

Preferred

  • Hands-on pipeline building with dbt, Airflow, or equivalent orchestration tools.
  • Experience with Hive and large-scale internal dashboarding environments, or comparable query and BI tools.
  • Exposure to Salesforce Marketing Cloud and marketing automation workflows.
  • Statistical modeling experience across propensity, LTV, attribution, forecasting, and experiment design.
  • Fluency with CRM and account-level data models.
  • Advanced Google Sheets/Excel, including pivot tables, lookups, and complex formulas.
  • Basic Python for automation and API utilization.

Benefits

  • We provide comprehensive medical benefits, a 401k plan, paid holidays, and more.

Salaries

Posted range

$50/hr – $52/hr

Taken straight from the job posting.

Marketing Analytics median pay in the United States

$110K/yr

Most pay falls between $86K and $159K. Based on 2,038 salaries.

See all itD salaries

Marketing Team

Marketing Team Size
8 (1% of company)
Median Tenure
5.8 years
Marketing Roles Posted (Last 30 Days)
1

Traffic Signals

Monthly Visitors
579
Traffic Source Mix
Search
44.8%
Direct
33.6%
Referral
13.2%
Social
5.3%
Paid
1.5%

Headcount Trend

Current headcount: ~785