Data Analyst V (6330)

itD Tech•San Francisco, NY

1d•Hybrid

About The Position

Data Analyst V itD is seeking a Data Analyst V (Senior Marketing Analyst – Audience Strategy & Insights) to drive audience segmentation, revenue opportunity sizing, and strategic insights for Company’s Business Messaging Marketing team. This role will translate complex data into actionable recommendations that influence business, product, and investment decisions. The ideal candidate will bring deep expertise in marketing analytics and audience strategy and a proven track record of delivering end-to-end segmentation, quantitative business cases, and executive-level insights .

Requirements

8+ years of experience in marketing analytics, business analytics, or data science
Expert-level SQL skills (complex queries, CTEs, window functions, query optimization)
Proven experience with end-to-end audience/customer analysis (segmentation, lifecycle, funnel, revenue sizing)
Experience working with large, multi-source datasets (CRM, product, engagement data)
Experience building automated reporting and dashboards (Tableau or similar BI tools)
Strong ability to translate data into actionable insights and influence stakeholders
Experience collaborating with data engineering and data science teams to define pipelines and data models
Bachelor’s degree in a quantitative, technical, or business field, or equivalent work experience required

Nice To Haves

Experience with pipeline orchestration tools (e.g., dbt, Airflow or equivalent)
Familiarity with customer data platforms (CDP) , preferably Salesforce Data Cloud
Experience with marketing automation tools (e.g., Salesforce Marketing Cloud)
Knowledge of statistical modeling (propensity, LTV, attribution, forecasting)
Basic proficiency in Python for automation and data workflows
Experience with large-scale data environments (Hive, distributed query systems, or similar)
Advanced Excel/Google Sheets skills for data analysis

Responsibilities

Deliver deep audience analysis including segmentation, lifecycle, funnel, churn, and revenue attribution insights
Define analytical approaches, methodologies, and assumptions to answer complex business questions
Extract, clean, and analyze large-scale datasets using advanced SQL across multiple data sources
Partner with Data Scientists and Data Engineers to define business logic, data models, and pipeline requirements
Build automated reporting solutions and self-service dashboards to support recurring business needs
Translate audience insights into actionable segments for marketing campaigns and lifecycle programs
Present data-driven recommendations to senior leadership and cross-functional stakeholders
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)
Build out material to contribute to the Digital Transformation practice
Attend internal itD networking events (in person and virtual)
Work with leadership on career fast-track opportunities