Responsibilities

• Lead cross-functional efforts to turn social listening, audience, and campaign data into clear, actionable insights, especially when the data is messy, incomplete, or noisy.
• You'll be a proactive, self-starting analyst who can identify what conversations, signals, and trends matter, articulate why they're relevant, and determine how to surface them, then translate that into executive-ready narratives (decks/one-pagers) and dashboards that sharpen brand strategy and marketing performance.
• This role also helps mature our social data foundation over time, owning and expanding core datasets, improving how we source and structure listening analytics, and (as a nice-to-have / future growth area) contributing to building and maintaining an internal database/data environment.

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.

Nice to Have

• 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.