Underscore Marketing - Data Analyst
Requirements
• Time Zone Preference: US East Coast • Time Zone Preference: • Role Purpose: • The Data Analyst supports pharmaceutical brand, commercial (marketing), and analytics teams by playing a critical technical role connecting healthcare data to media to drive clear, actionable insights. This role requires strong technical analytics skills, rigorous statistical thinking, and the ability to communicate findings in a simple, compelling way to both technical and non-technical stakeholders within the company. The ideal candidate is articulate, collaborative, detail-oriented, and comfortable working with imperfect data and complex data structures to enable advanced analysis, including AI and machine learning applications. • Experience working with pharmaceutical commercial or media data (e.g., claims, prescription, media, CRM, hub data). • Familiarity with AI/ML concepts and data preparation requirements for modeling. • AI/ML concepts • Experience using Python or R for analytics and data manipulation. • Python or R for analytics • Understanding of pharma compliance, privacy, and data governance considerations. • pharma • Experience working in a remote setting, collaborating cross-functionally with individuals across teams and in different time zones. • remote setting • Key Competencies • Key Competencies • Analytical rigor and attention to detail • Business-oriented problem solving • Clear and concise communication • Comfort working with ambiguous or imperfect data • Curiosity and continuous learning mindset • Collaboration and teamwork • Interested?Apply by submitting your resume and a brief note outlining your healthcare or media experience. • Interested? • Underscore Marketing is a woman-owned, independent agency specializing in life sciences. Since 2002, we've helped clients gain a competitive edge through bold, data-driven promotional strategies that deliver measurable results. • Our team comprises media, strategy, and omnichannel analytics experts who thrive on collaboration, innovation, and results. When you join Underscore, you become part of a dynamic environment where your ideas matter, your growth is supported, and your work helps elevate brands in a competitive healthcare landscape. • If you're passionate about making a difference and want to be part of a team that values integrity, creativity, and results, if that sounds like you, we invite you to share.
Responsibilities
• Perform extensive SQL-based data transformations, integrating data from multiple internal and external sources (e.g., claims, media, CRM, EHR-derived datasets). • extensive SQL-based data transformations • Define, validate, and govern metrics aligned to pharmaceutical business questions (e.g., brand performance, HCP engagement, patient journeys). • Define, validate, and govern metrics • statistical reasoning • Maintain and iterate on analytical datasets and workflows as new data is ingested. • Maintain and iterate on analytical datasets and workflows • Conduct thorough exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets. • thorough exploratory data analysis (EDA) • Interpret and translate analytical findings into clear business insights, tailored for stakeholders across marketing, analytics, strategy, and leadership teams. • Interpret and translate analytical findings into clear business insights • Manually scrub, structure, and normalize data as needed to ensure data quality and analytical readiness, particularly for deep-dive analyses. • Manually scrub, structure, and normalize data • Prepare datasets to support advanced analytics, including exploratory and explanatory machine learning techniques, ensuring accuracy, consistency, and scalability. • advanced analytics, including exploratory and explanatory machine learning techniques, • Develop data visualizations and dashboards that clearly communicate insights and support decision-making. • data visualizations and dashboards • Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams to align analyses with business needs. • Collaborate cross-functionally • Document methodologies, assumptions, and data limitations to support transparency and reproducibility. • Document • Cross-functional Interfaces: • Strategic Solutions • Pinnacle Task Force • Success Indicators (What good looks like): • Bachelor’s degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field. • Experience working with cloud data warehouses (e.g., Big Query). • e.g., Big Query). • Strong proficiency in SQL, including complex joins, transformations, and performance optimization. • Solid foundation in statistics and analytical reasoning (e.g., trend analysis, hypothesis testing, segmentation). • statistics and analytical reasoning • Demonstrated experience with exploratory data analysis and working with large, complex datasets. • exploratory data analysis • Ability to simplify complex data and insights for diverse audiences. • simplify complex data and insights • Experience with data visualization tools (e.g., Tableau, Power BI, Looker, or similar). • data visualization tools • Proven ability to work collaboratively in cross-functional teams. • collaboratively
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