This role pays more than
72%
of similar roles. Most pay
$159,750–$214,900
— the shaded band above.
At the midpoint, this role pays about
$212k
versus about
$187k
for comparable roles.
Based on 240 similar postings.
Employer
About Genentech
Genentech is a leading research-driven company dedicated to discovering and developing, manufacturing, and commercializing medicines for people with serious and life-threatening diseases.
Genentech currently has
26 open roles
on FindRole.
Listed pay typically runs
$149,700–$278,100
across 19 roles with salary data.
Data Analytics Senior Manager - Forecasting serves as an individual contributor within the Data, Digital and Analytics team to support the development and optimization of forecasting tools, products, and processes. The role involves designing, coding, and prototyping analytical logic while digging into complex pharmaceutical datasets to build scalable solutions for driverless and driver-based forecasting models. You will synthesize data from multiple sources, including claims, EMR, sales, and market research, to refine epidemiology models and visualize outputs for stakeholders. Required skills include proficiency in Python, SQL, R, Excel, and cloud-based platforms like AWS, Snowflake, or Google Cloud. The position requires expertise in machine learning, predictive algorithms, MLOps, and statistical trending to solve complex healthcare challenges by translating business questions into analytical frameworks that drive measurable impact within the pharmaceutical and biotech domain.
Design, code, and prototype analytical logic to power forecasting tools and products.
Build and scale new forecasting models for driverless and driver-based trending.
Translate complex business questions into structured analytical frameworks and actionable recommendations.
Aggregate and synthesize data from multiple sources like claims, EMR, and sales to refine epidemiology models.
Ensure data quality, integrity, and compliance with industry regulations and internal standards.
Partner with data science teams to implement machine learning algorithms and statistical analyses.
Visualize model outputs to ensure they are interpretable for business stakeholders.
Present analytical findings and recommendations to senior leaders to influence decision-making.
What we're looking for
Bachelor's or Master’s degree in Business Analytics, Statistics, Maths, Data Science, or a related field.
5+ years of experience in data analysis, business intelligence, or related roles.
Proficiency in data analysis tools such as Python, SQL, R, Excel, or similar.
Experience building forecast models and machine learning including model drift modeling, predictive algorithm deployment, MLOps, and statistical trending.
Familiarity with cloud-based analytics platforms like AWS, Snowflake, or Google Cloud.
Ability to translate complex data into meaningful insights and actionable recommendations for stakeholders.
Experience in pharmaceutical or biotech analytics, particularly in commercial or market analytics (preferred).
Knowledge of healthcare datasets such as IQVIA, Symphony, Flatiron, or similar (preferred).
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