Manager, Media Analytics Manager, Media Analytics

About the Role

Key Responsibilities

• Design, build, and manage large-scale datasets using SQL and dbt to power dashboards, models, and self-serve analytics tools.
• Implement scrum-based engineering practices including peer code reviews, version control, technical documentation, and test coverage.
• Proactively identify and resolve data issues such as troubleshooting joins, missing fields, or aggregation logic.
• Collaborate with data engineering teams to ensure data is modeled to serve both technical and business needs.
• Build high-quality, visually intuitive dashboards and reports in Tableau.
• Develop business-ready reporting tools for use across regions, campaigns, vendors, and tactics.
• Support key business rhythms such as monthly/quarterly reviews with insights and data deliverables.
• Extract insights from media and pipeline performance data across all stages of the B2B funnel.
• Conduct deep-dive analyses on campaign performance and spend efficiency.
• Translate findings into clear, digestible, and actionable recommendations for marketing and media stakeholders.
• Serve as a strategic liaison between Media Lab and engineering and analytics partners.
• Deliver findings through live presentations, stakeholder briefings, and written narratives.
• Produce self-serve documentation including data dictionaries, metric definitions, and schema diagrams.
• Create short-form video tutorials and walkthroughs to help stakeholders navigate tools and dashboards.
• Lead live training and enablement sessions to empower teams with insights.
• Build and maintain project trackers, stakeholder update decks, and roadmaps for data initiatives.
• Partner with business and engineering teams to ensure alignment across data and reporting projects.
• Own stakeholder intake processes and help prioritize backlog items based on business impact.
• Ensure datasets and dashboards meet real user needs with clear, measurable value.

Requirements

• 5+ years of experience in analytics or analytics engineering.
• 3+ years working with digital marketing data, preferably in a B2B SaaS context.
• Advanced expertise in SQL, dbt, and Tableau, including performance optimization and scalability.
• Proven success working with very large datasets and production-grade data pipelines.
• Ability to create insightful, easy-to-use dashboards for non-technical audiences.
• Deep understanding of the B2B marketing funnel, multi-touch attribution, and related metrics such as Spend, Impressions, Clicks, Responses, MQLs, Pipeline, ACV.
• Knowledge of ratios like Spend:Pipeline, CTR, CVR, and interstage conversion rates.
• Comfort working autonomously and managing ambiguous or evolving priorities.
• Strong communication skills to translate complex data into impactful business insights.
• Experience managing cross-functional initiatives and stakeholder alignment.
• Familiarity with agile methods, sprint planning, and backlog refinement.

Nice to Have

• Prior experience as a media analyst, media buyer, or digital campaign manager.
• Familiarity with Salesforce's internal tools or marketing tech stack (Salesforce CRM, Datorama, Snowflake, dbt, Tableau).
• Experience with enablement content creation such as videos, walkthroughs, and training guides.

Qualifications

• Educational background is not explicitly specified, but extensive experience in analytics and digital marketing data is required.

Benefits & Perks

• Time off and leaves
• Perks such as discounts, commuter benefits, and educational reimbursement
• Mental health, parenting, and childcare resources
• Medical, dental, and vision insurance
• Paid parental leave
• Life and disability insurance
• 401(k) plan
• Employee stock purchasing program