Transform raw data into strategic insights that inform media planning, campaign optimization, and client recommendations
Design, build, and maintain dashboards and reporting systems across platforms like Tableau, Looker, and Snowflake-balancing accuracy with usability
Proactively identify performance trends, anomalies, and opportunities through exploratory analysis
Present findings and recommendations to internal teams and executive-level client stakeholders with clarity and confidence
Collaborate with media, strategy, and account teams to define KPIs, establish measurement frameworks, and ensure consistent tracking across channels
Lead QA efforts across campaigns and data pipelines, troubleshooting issues and implementing scalable solutions
Stay current on AI-powered analytics tools and methodologies, identifying opportunities to integrate automation and machine learning into workflows
Juggle multiple projects and stakeholders, adapting quickly as priorities shift
QUALIFICATIONS
3-5 years of experience in analytics, data strategy, or a related field-preferably within an agency or healthcare marketing environment
Bachelor's degree in Statistics, Data Analytics, Marketing, Economics, or a related discipline
Working knowledge of SQL and comfort navigating large datasets
Hands-on experience with digital analytics platforms (Google Analytics, Adobe Analytics) and visualization tools a must (Tableau, Looker, Power BI)
Familiarity with syndicated research tools such as MRI-Simmons, Nielsen, Comscore or Placer.ai
Excellent communication and presentation skills-you have experience distilling complexity into a compelling story for any audience
Sharp attention to detail paired with strong prioritization and project management instincts
A collaborative mindset and genuine curiosity about how data can solve business problems
PREFERRED QUALIFICATIONS
Exposure to cloud data platforms like Snowflake or BigQuery
Familiarity with ETL concepts or basic data pipeline workflows
Some experience with SQL beyond querying-creating views, basic transformations
Interest in or early exposure to AI-powered analytics tools (e.g., ChatGPT, Gemini, or AI features within platforms like Tableau or GA4)
Experience with Python or R for data manipulation or automation a plus, but not required
Previous experience in healthcare, pharma, or other regulated industries
Awareness of advanced analytics methodologies such as Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), or correlation/regression analysis-hands-on experience not required, but enthusiasm to learn and support these workstreams is a plus
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