Manager, Data Analytics
Takeda
full-time
Posted on:
Location Type: Remote
Location: Illinois • United States
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Salary
💰 $111,800 - $175,670 per year
About the role
- The Data Analytics Manager plays a key role in supporting BioLife’s pricing strategy by combining strong analytical capability with business insight.
- Responsible for performing advanced data and financial analysis, translating trends into actionable recommendations, automating recurring processes, and supporting the development and optimization of pricing strategies that drive volume growth and improve cost efficiency.
- Partners closely with Operations, IT, and Data Science teams to execute pricing experiments, evaluate outcomes, and deliver timely, business-ready insights.
- Applies advanced analytics to diverse business scenarios, synthesizing complex information into clear, executive-ready insights and visualizations.
- Brings automation in day to day process to get quicker insights into business trends.
- Builds ML and statistical models to understand donor patterns and forecast cost metrics.
- Links analytical findings to business and donor behavior dynamics to explain drivers behind trends and performance shifts.
- Conducts rapid-turnaround analysis and delivers recommendations under tight timeframes.
- Builds and maintains forecasting models to project volume, cost-efficiency metrics, and donor behavior trends, enabling more accurate weekly and monthly planning.
- Supports the design, execution, and evaluation of experiments, including A/B tests, optimization pilots.
Requirements
- Bachelor's degree in Computer science, Engineering, Finance, Marketing, Business, or an equivalent; Strong academic track record from a reputable institution; master’s degree preferred.
- 5+ years of experience in analytics, data science, pricing, forecasting, or strategy roles with measurable business impact.
- Ability to connect data insights to business context and clearly explain underlying drivers.
- Action-oriented mindset with the ability to deliver high-quality outputs under tight timelines.
- Extensive expertise in data science, pricing strategy, revenue management, and experimental design (preferred).
- Strong stakeholder management and executive communication skills.
- Ability to work across highly matrixed, global organizations.
Benefits
- U.S. based employees may be eligible for short-term and/or long-term incentives.
- U.S. based employees may be eligible to participate in medical, dental, vision insurance, a 401(k) plan and company match, short-term and long-term disability coverage, basic life insurance, a tuition reimbursement program, paid volunteer time off, company holidays, and well-being benefits, among others.
- U.S. based employees are also eligible to receive, per calendar year, up to 80 hours of sick time, and new hires are eligible to accrue up to 120 hours of paid vacation.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisfinancial analysisadvanced analyticsmachine learningstatistical modelingforecastingA/B testingautomationpricing strategyrevenue management
Soft Skills
analytical capabilitybusiness insightstakeholder managementexecutive communicationaction-oriented mindsetability to deliver under tight timelinescross-functional collaborationsynthesizing complex informationclear explanation of data insightsadaptability
Certifications
Bachelor's degreeMaster's degree (preferred)