Manager, Sales & Marketing Analytics

Alkermes

18h•Hybrid

About The Position

The Manager, Sales & Marketing Analytics, is a key member of the team providing analytical support to commercial functions (Brand Marketing, Marketing Operations, Field Sales Leadership, Data, Analytics & Insights) of a growing commercial organization. This position will be an integral cross-functional partner with a focus on data infrastructure, dashboard development, reporting automation, and advanced analytics and insights including HCP and patient analytics. The ideal candidate will have strong experience working with large healthcare and commercial datasets, building reliable data pipelines, developing executive-ready dashboards, and applying modern analytics and AI-enabled tools to improve efficiency, insight generation, and business impact. This role will report to Associate Director, Sales & Marketing Analytics and will work a weekly hybrid schedule in our Waltham office.

Requirements

Bachelor's degree in analytics, business, data science, mathematics or statistics required.
5+ years of experience in commercial analytics
Strong experience developing dashboards and data visualization solutions using Tableau and/or Power BI.
Experience working with large datasets and relational databases required
Strong ability to clean, process, analyze, and interpret large datasets efficiently
Proficiency in SQL and R/Python for data extraction, manipulation, analysis, and automation.
Experience building recurring reporting processes, standardized datasets, and scalable analytics workflows.
Ability to manage concurrent initiatives and meet deadlines in a fast-paced environment
Strong communication and presentation skills, both verbal and written, including ability to synthesize information and make recommendations to key stakeholders
Effective problem-solving skills and strong attention to detail
Strong sense of ownership, accountability, and follow-through
Proficiency in Microsoft office suites

Nice To Haves

Master's degree in analytics, business, data science, mathematics or statistics preferred
Experience working with commercial data in the biotech/pharmaceutical industry preferred (e.g. IQVIA, Symphony Health, Specialty Pharmacies, Managed Care etc.).
Familiarity with claims data preferred (e.g. LAAD, Komodo etc.)
Experience with Snowflake, DBT, or other modern data warehouse and data transformation tools preferred.
Experience using AI-enabled productivity or coding tools, such as Cursor, Microsoft Copilot, or similar platforms, preferred.
Experience creating and maintaining data infrastructure, reusable analytical datasets, data marts, or reporting layers.
Strong dashboard design skills, including metric definition, visual storytelling, user experience, performance optimization, and stakeholder adoption.
Experience with advanced analytics, including predictive modeling, machine learning, marketing mix modeling, customer segmentation, A/B testing, or promotional effectiveness analysis.
Focus on process improvement and the development of sustainable processes, business rules and solutions
Ability to quickly learn new tools, applications and processes

Responsibilities

Develop and maintain standardized, scalable data infrastructure to improve efficiency, sustainability of deliverables, and consistency across markets and reporting needs
Design, develop, and maintain executive-ready dashboards and data visualization solutions in Tableau and/or Power BI that are intuitive, accurate, visually effective, and aligned with business needs.
Partner with cross-functional teams to scope and manage projects from beginning to end, including understanding the business questions, project planning, and creating structured deliverables
Design and implement analyses that provide insights into brand performance, HCP and patient trends, market dynamics, and key marketing initiatives
Explore and apply AI-enabled analytics tools, coding assistants, and automation capabilities to improve productivity, accelerate insight generation, and support more efficient analytics workflows.
Support continuous improvement by identifying opportunities to streamline processes, standardize business rules, enhance reporting quality, and build sustainable analytics solutions.
Ensure accuracy, consistency, and sustainability of analytics and reporting by implementing quality control processes, validating outputs, proactively identifying data issues
Maintain clear documentation for data sources, business rules, metric definitions, and reporting processes.