Sr. Analyst

RESPONSIBILITIES

•       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