Sr. Analyst, Healthcare and Media Strategy

Acxiom Health https://www.acxiom.com/healthcare/ is a business unit within Acxiom, focused on transforming healthcare and pharmaceutical marketing through precision data and ethical innovation. Harnessing over 300 million de-identified health-related records, Acxiom Health empowers brands, agencies, payers, and providers to connect with consumers and professionals through privacy-first, AI-driven audience solutions. With access to unmatched demographic insights, social determinants of health, and seamless media activation, this team is reshaping how the industry engages at scale—delivering campaigns across the broad variety of media channels. Join us in building the future of health marketing.

We are seeking a highly analytical and detail-oriented Healthcare & Media Strategy Sr. Analyst to inform Acxiom Health Product in developing data-driven solutions for life sciences focused programmatic advertising and social media. Reporting to the Senior Director Acxiom Health, this role is crucial in curating precise health awareness audiences, conducting industry research, providing strategic insights to product development, as well as working with our internal and external client base.

Key Responsibilities:

Audience Development:

Leverage expertise in health, biopharma and consumer segmentations, health data and coding to build and refine healthcare audiences  and segmentations for programmatic advertising and social media marketing.

Analyze and segment longitudinal healthcare provider and HIPAA compliant patient’s health claims data to optimize targeted engagement strategies.

Audience Portfolio Management:

Manage and analyze the growing audience portfolio to derive insights on performance and support product teams in maintaining product catalogs.

Conduct deep-dive analyses of model results, propose testing opportunities, and develop optimization recommendations on campaigns to achieve client and internal KPIs and benchmarks.

Assess measurement and media strategies to understand their impact on audience performance in campaigns.

Data Analysis & Insights Generation:

Work with internal datasets and publicly available sources,  to derive meaningful insights for client marketing strategies.

Develop reports, dashboards, and presentations to visualize findings and recommendations.

Collaboration & Cross-Functional Support:

Work closely with marketing, data science, and sales teams to translate research findings into actionable recommendations.

Support client presentations and internal meetings with data-driven insights and reports.

Our Ideal Candidate

The ideal Senior Analyst is passionate about working with diverse datasets and has excellent problem solving, communication, and insights skills. 5 – 7 years of working experience in digital media /advertising/marketing, health or life sciences / pharmaceuticals, healthcare consumer marketing, population health or health related fields. Our ideal candidates have both media and pharmaceutical analytical experience.

Location:

Commutable proximity to NYC for a hybrid role with 1-2 days in office, remote East Coast option will be considered.

Requirements

Master’s degree, or bachelor’s degree plus equivalent experience in a STEM field, such as Statistics, Mathematics, Engineering, Biostatistics, Econometrics, Economics, Finance, Epidemiology, Life Sciences or Public Health. 

5 – 7 years advanced analytics and data experience in healthcare systems, health-tech or pharmaceutical industry, combined with background in digital marketing, consumer behavior or ad-tech. Agency experience is a plus.

Proficiency in data analytics tools (SQL, Google Analytics / Big Query, Looker / Supersets /  Tableau, Power BI, or similar). Strong proficiency in SQL is a must.

Proficiency in accessing public databases for analysis, data discovery and insights generations is required.

Ability to meet deadlines and flexibility to work constructively with shifting priorities.

Solid task and team project management skills.

What Will Set You Apart

Statistical and hypothesis testing, including working knowledge of applications in media or health is a plus. 

Understanding of ML methodologies and workflows is a plus.

Working knowledge of R and / or Python is highly preferred.

Experience with digital advertisement measurement (including pharmaceutical advertisement)  is a plus.

#GD17

Salary: $117,500 - $153,000. Please note, where an employee or prospective employee is paid within this range will depend on, among other factors, actual ranges for current/former employees in the su