Senior Marketing Analyst – Audience Strategy & Insights-6376

itD Tech•San Jose, CA

4d•$50 - $52•Hybrid

About The Position

itD is seeking a Senior Marketing Analyst to lead audience segmentation, audience strategy, and revenue opportunity sizing for the enterprise marketing team of a leading global technology organization. The role applies expert SQL and analysis of large, complex datasets to develop recommendations that shape business, product, and investment decisions. The successful candidate will have deep experience in marketing analytics, B2B audience and customer analysis, and partnering with Data Scientists and Data Engineers, with a record of delivering quantified audience strategies, segment libraries, and automated reporting that influence senior leadership. This is a 12-month, full-time engagement at 40 hours per week, with potential for extension. The position follows a hybrid schedule with onsite presence in San Francisco, New York, or Menlo Park. The role is for direct W2 candidates; sponsorship is not available. The analyst will also contribute to itD’s internal practice through community meetings, thought leadership, case studies and learning materials, Digital Transformation practice materials, networking, and career development activities. itD describes itself as a woman- and minority-led consulting and software development company with a global community, a culture of respect and empowerment, and opportunities to work with Fortune 500 companies and high-performance teams.

Requirements

At least 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 experience owning audience or customer analysis end to end, including 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 to build and activate segments.
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 establish automated reporting and dashboards.
Background in B2B marketing, sales, or customer analytics.
Experience presenting to and influencing senior leadership and communicating with technical and non-technical audiences.
Bachelor’s degree in a quantitative, technical, or business field, or equivalent practical experience.

Nice To Haves

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 or Excel skills, including pivot tables, lookups, and complex formulas.
Basic Python skills for automation and API utilization.

Responsibilities

Deliver audience analysis, including segmentation, lifecycle and funnel analysis, growth and churn signals, and revenue and adoption attribution.
Size revenue opportunities and build business cases for which audiences to prioritize.
Define how business questions should be answered, including measures, methodology, and applicable assumptions.
Pull, clean, and analyze datasets of millions of records using advanced SQL; reconcile data across sources and investigate 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 to eliminate manual data pulls.
Translate audience definitions into campaign-ready segments in a customer data platform in partnership with campaign and lifecycle owners.
Present findings and recommendations to senior leadership and cross-functional partners.
Attend regular internal practice community meetings.
Collaborate with the itD practice team on industry thought leadership.
Complete client case studies and learning materials, including blogs and media material.
Build materials to contribute to the Digital Transformation practice.
Attend internal itD networking events, in person and virtually.
Work with leadership on career fast-track opportunities.