Senior Marketing Analyst, Audience Strategy & Insights

Rose International; Menlo Park (CA); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Rose International is seeking a senior analytics professional to lead end‑to‑end audience and customer analysis, partnering with data science and data engineering teams to build scalable data pipelines and automated dashboards. The role reports to cross‑functional leadership and supports strategic marketing initiatives.

The ideal candidate brings 8+ years in marketing analytics or related analytics roles, with a strong background in B2B contexts and practical experience across CRM, product, and

Qualifications

• Proven track record of owning audience or customer analysis end-to-end in B2B contexts.

Responsibilities

• Shape and influence audience strategy with Marketing, Sales, and partner teams.
• Run audience, lifecycle, funnel, and churn analysis; size revenue opportunities behind each segment.
• Collaborate with Data Scientists and Data Engineers to define data logic and improve data infrastructure.
• Build automated reporting and self‑service dashboards for recurring needs.
• Present findings to senior leadership and cross‑functional partners.

Skills

SQL proficiency

Audience analysis

Stakeholder communication

Education

Bachelor's degree in a quantitative, technical, or business field

Tools

dbt

Airflow

Hive

Unidash

Tableau

Salesforce Data Cloud

Salesforce Marketing Cloud

Job description

***Desired location: Hybrid, San Francisco, NYC or Menlo Park***

Education Required

• Bachelor's degree in a quantitative, technical, or business field, or equivalent practical experience

Required Experience

• 8+ years of experience in marketing analytics, data engineering, data science, or a related analytics role

Required Qualifications

• Proven track record of owning audience or customer analysis end-to-end: segmentation, revenue opportunity sizing, and quantitative business cases, with assumptions and limitations clearly articulated
• Demonstrated ability to partner with Data Scientists and Data Engineers to define business logic and build data pipelines, manage complex 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 a history of presenting to and influencing senior leadership on business or product decisions, and communication that lands with both technical and non‑technical audiences

Preferred Qualifications

• Hands‑on pipeline building with dbt, Airflow, or equivalent orchestration tools
• Familiarity with Hive and Unidash, or comparable large‑scale query and dashboarding environments
• Working knowledge of a customer data platform, preferably Salesforce Data Cloud, including segment creation, Calculated Insights, and activation
• Exposure to Salesforce Marketing Cloud and marketing automation workflows
• 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

Must‑Have Skills

• Expert SQL on large datasets — complex queries, CTEs, window functions, and query optimization against millions of records, including reconciling multi‑source data and root‑cause discrepancies
• End‑to‑end audience/customer analysis — segmentation, lifecycle and funnel analysis, revenue opportunity sizing, and quantitative business cases with assumptions clearly stated; hands‑on with a CDP (preferably Salesforce Data Cloud) to build and activate segments
• Stakeholder communication and influence — translating complex data into clear direction and recommendations for XFN Marketing, Sales, and partner teams, and presenting to senior leadership

Nice‑to‑have Skills

• Pipeline building with dbt, Airflow, or equivalent orchestration, plus reporting/BI in a environment (Hive, Unidash) or equivalent
• Salesforce Marketing Cloud and marketing automation workflows; fluency with CRM and account‑level data models
• Statistical modeling (propensity, LTV, attribution, forecasting, experiment design) and basic Python for automation and API work

Job Overview

• This role uses expert SQL and large, complex datasets to drive audience segmentation, audience strategy, and revenue opportunity sizing, and translates that analysis into recommendations that shape business, product, and investment decisions.
• The ideal candidate is comfortable partnering with Data Scientists and Data Engineers to define the data logic and pipelines behind audience and reporting systems, and has a track record of influencing senior leadership with clear, quantified insights.

Responsibilities

• Work directly with Marketing, Sales, and partner teams to shape and influence audience strategy
• Run audience, lifecycle, funnel, and churn analysis and size the revenue opportunity behind each segment
• Meet with Data Scientists and Data Engineers to define business logic and improve the underlying data infrastructure
• Share insights and recommendations with business stakeholders and senior leadership
• Split roughly 30% hands‑on coding/technical work and 70% cross‑functional communication
• 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 a business question 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. Reconcile data across sources and root‑cause 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 for recurring business needs
• Translate audience definitions into campaign‑ready segments and signals in partnership with campaign and lifecycle owners
• Present findings and recommendations to senior leadership and cross‑functional partners
• Only those lawfully authorized to work in the designated country associated with the position will be considered.
• Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client’s business needs and requirements.

About Rose

• Founded in 1993
• Office Locations Across the U.S.
• 150+ Clients: Corporations and Government Agencies
• Employee Oriented Company
• Challenging Assignments Across the U.S.
• Continuous Professional Development

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