Responsibilities

• Data Sourcing, Asset Ownership & Analytics Execution (50%)
• Own and expand key marketing and market-intelligence datasets (internal + external), including defining what "good data" looks like for the business.
• Proactively identify data gaps and clearly articulate requirements: what we need, why we need it, where it should come from, and how it will be used.
• Source and integrate analytics inputs across platforms (paid media, web/app, CRM/email, social listening, research, third-party data).
• Build and enhance dashboards, reports, and visualizations that provide reliable, real-time visibility into performance and drivers.
• Partner with data governance/technology teams to ensure data quality, definitions, and integration across systems.
• Create repeatable processes to convert large, complex datasets into signal-over-noise insights and measurable recommendations.
• (Nice-to-have / growth area) Support the evolution of an internal data environment by contributing to database/data mart design, documentation, and scalable reporting foundations.
• Marketing Analytics & Social Intelligence (35%)
• Own social intelligence workflows and tools (e.g., Brandwatch, Meltwater, NetBase) and connect social signals to campaign and market outcomes.

Requirements

• Bachelor’s degree or equivalent experience; 7+ years in marketing analytics, insights, market research, or adjacent analytics roles.
• Proven ability to operate as a self-starter: independently driving analyses from vague problem statements to decision-ready outputs.
• Demonstrated success working with large, complex datasets and turning noisy inputs into clear, defensible recommendations.
• Strong capability to define and advocate for data needs (requirements, definitions, sourcing options, tradeoffs, and business value).
• Expertise translating data into executive-ready recommendations across decks, one-pagers, dashboards, and verbal narratives.
• Deep knowledge of marketing KPIs and measurement concepts (segmentation, predictive analytics, attribution/measurement frameworks).
• Advanced proficiency in Tableau/Power BI/Excel and strong PowerPoint skills.
• Strong stakeholder management, communication, and project execution in fast-paced environments.
• Market research and intelligence gathering; strong social/digital ecosystem knowledge.
• High proficiency in Boolean logic, media monitoring, and social content analysis.

Preferred

• Strong SQL skills and experience querying large datasets.
• Experience contributing to or owning analytics datasets in a database/warehouse environment (e.g., Snowflake, BigQuery, Redshift) or building "single source of truth" reporting layers.
• Familiarity with data modeling, ETL/ELT concepts, dbt, Airflow, or lightweight automation (Python/R).
• Experience evaluating and integrating third-party datasets and vendors.

Benefits

• Employer-sponsored health benefits (medical, dental, and vision); retirement plan with company match; commuter benefits. Generous paid time off and paid holidays, plus professional development and learning support (stipends, training, and tuition reimbursement), and more.