Senior Manager, Advanced Analytics

Lundbeck

. Lead personal and non-personal promotion response analytics and brand deep dives across Lundbeck’s product portfolio .

Posted 11/5/2026full-timeBoston • Massachusetts • United StatesSenior💰 $170,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics and machine learning within the pharmaceutical industry, leveraging programming skills in SAS, R, Python, or SQL to drive brand performance insights. Capable of synthesizing complex data into actionable strategies while collaborating with cross-functional teams to optimize marketing investments.

Highest-signal resume keywords

Machine Learning ExpertiseStatistical ModelingPharmaceutical Data AnalysisData Visualization in Tableau or Power BIStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ModelingMachine LearningData AnalysisPredictive AlgorithmsProgramming in SASProgramming in RProgramming in PythonSQL ProficiencyData PreparationExploratory Data Analysis

Soft Skills

Strong Critical ThinkingProblem-Solving CapabilitySelf-LearnerAbility to Work IndependentlyAgility to Adapt

Tools & Technologies

MS OfficeTableauPower BIGoogle 360AI Implementation

Certifications & Qualifications

Accredited Bachelor's Degree

Industry Keywords

PharmaceuticalBiotechConsultingPayer Mix AnalysisFormulary AnalysisMarketing DataSales Force AnalyticsCustomer SegmentationPromotional ChannelsLongitudinal Patient-Level Data

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Lead personal and non-personal promotion response analytics and brand deep dives across Lundbeck’s product portfolio
Use secondary analytics, statistical modelling and machine learning techniques to evaluate and understand brand performance
Evaluate marketing promotions, sales force analytics, targeting and customer segmentation to answer key business questions
Build predictive algorithms using machine learning and AI to evaluate and predict marketing promotions and sales force analytics
Synthesize data insights and statistical results into actionable insights and visualize findings to tell compelling stories about brand performance
Evaluate synergistic impact between marketing promotional channels and optimize brand investments
Provide modeling data preparation, exploratory data analysis and metadata analysis to internal analytics leads and business partners for QBR and tactical planning sessions
Coordinate and manage daily activities of vendor support or technical staff, translating business needs into technical requirements
Provide direct guidance when technical issues arise
Work with cross-functional partners on targeting, segmentation, sales force alignment and call planning

Requirements

What you’ll need

Accredited Bachelor's degree
6+ years of analytics experience
Previous experience in Pharmaceutical/Biotech/Consulting industries
Experience in running rigorous statistical and Machine Learning models on pharmaceutical data
Strong experience in digital media data and analysis
High proficiency in programming languages such as SAS, R, Python, or SQL
High proficiency in MS Office (Excel/Access/PowerPoint)
Strong communication skills with the ability to translate complex analysis into actionable insights
Ability to develop analytical plans to inform brand level decision-making
Demonstrated excellent analytical skills and business acumen
Self-learner, strong critical thinker and problem-solving capability
Ability to work independently and complete deadline without direct authority and navigate in ambiguous environment and agility to adapt changing priorities of the organization
Knowledge of pharmaceutical data, including retail/non-retail, distribution, specialty pharmacy, payer, promotional and marketing data, and longitudinal patient-level data
Experience with payer mix analysis, formulary analysis and strategy development
Experience with ML/AI coding and implementation
Experience with Google 360 or equivalent media data
Experience with visualization in Tableau or Power BI
Experience with pharmaceutical launches and commercialization of pharmaceutical products
Willingness/Ability to travel up to 20% domestically; international travel may be required

Benefits

Comp & perks

15% bonus target based on company and individual performance
Eligibility to participate in the company’s long-term incentive plan
Flexible paid time off (PTO)
Medical, Dental and Vision health benefits
Company match 401k
Reasonable accommodations during the employment application process
Equal employment opportunity workplace