AstraZeneca Pharmaceuticals LP Data Analytics Manager - Renal Cardio in Wilmington, Delaware
At AstraZeneca we turn ideas into life changing medicines. Working here means being entrepreneurial, thinking big and working together to make the impossible a reality. We're focused on the potential of science to address the unmet needs of patients around the world. We commit to those areas where we think we can really change the course of medicine and bring big new ideas to life.
The Data Analytics Manager for the Renal Cardio team in Wilmington DE, will play a pivotal role in channeling our scientific capabilities to make a positive impact on changing patients’ lives. North American Commercial is the ‘face’ of AstraZeneca and MedImmune to our many healthcare clients. They represent many of the most well recognized and respected products in the industry, and build strong relationships with healthcare professionals.
AstraZeneca's strategy in Renal-Cardio focuses on ways to reduce morbidity, mortality and organ damage by addressing multiple risk factors across cardiovascular (CV) disease, and chronic kidney-disease (CKD). The patient-centric approach is reinforced by science-led life-cycle management programs and technologies, including early research into regenerative methods. The Data Analytics Manager for Renal Cardio reports to the Senior Director of Insights & Analytics for Renal Cardio and works cross-functionally to coordinate, analyze, integrate and deliver data insights that inform key business decisions.
Main Duties and Responsibilities
As a Data Analytics Manager, you will be responsible for providing analytical expertise to the Commercial Organization, driving strategic and operational excellence. This is a hands-on analytical role and as a proactive internal consultant to the Renal Cardio team, the Data Analytics Manager will support and design commercial solutions, enabling data-driven decisions that are based on rigorous analysis and best available information. A high level of proficiency in syndicated and custom, primary and secondary data, for both predictive and prescriptive analytics is required. The Data Analytics Manager will coordinate the procurement of various datasets, design and implement analytical solutions in support of Business Opportunities, Customer Segmentation & Targeting, Promotion Response & Return-On-Investment analytics and Optimal Resource/Budget allocation across diverse Sales and Marketing channels, Smart Business Experiments (Test & Learn), Market Simulation & Patient flow modeling among other business critical analyses. This role works closely with Marketing, Medical, Market Access, Sales, Forecasting, and other Commercial Operations business partners.
In addition to strong analytical skills, the Data Analytics Manager should have excellent communication skills with a demonstrated track record of effective business partnership as demonstrated by material business impact and influencing. This position may be required to manage contractors and consultants to complete analytical projects, but will have no direct reports. The candidate will also be required to continuously evaluate new quantitative analysis methods and technologies.
Quantitative Bachelor’s degree from an accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Applied Math, Computer Science or Data Science. An advanced degree is preferred (Master’s, MBA or PhD).
2+ years of experience in Pharmaceutical / Biotech / Healthcare analytics or secondary data analysis. CV, Renal and/or metabolic disease experience is a plus.
4+ years of experience in application of advanced methods and statistical procedures on large and disparate datasets, specifically:
Statistical Analysis & Modeling: Design of Experiments, Time Series, Regression, Applied Econometrics and Bayesian methods.
Data Mining, Predictive Modeling & Machine Learning algorithms.
Optimization & Simulation.
2+ years of recent experience and proficiency with SAS/Base, SAS/Stat & SAS/ETS. Working knowledge of SAS/OR and SAS/Enterprise Miner considered a plus.
Working knowledge of SQL, R, Python and big data technology - Hadoop ecosystem (Cloudera distribution - Impala, Hive, Hbase, Spark, MapReduce etc.,).
Working knowledge of data visualization – Qlikview, MicroStrategy, Tableau, D3js or similar tools.
Experience in MS Office products - Excel and PowerPoint skills required.
Proficiency in manipulating and extracting insights from large longitudinal data sources, such as Claims, EMR and other patient level data sets.
Expertise in managing and analyzing a range of large, secondary transactional databases is required.
Occasional travel may be required.
Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners.
Strong communication and influencing skills with demonstrated ability to develop and effectively present succinct, compelling reviews of independently developed analyses infused with insight and business implications/actions to be considered.
Strategic and critical thinking with the ability to engage, build and maintain credibility with Commercial Leadership Team.
Strong organizational skills and time management; ability to manage diverse range of simultaneous projects.
Next Steps -- Apply today!
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AstraZeneca is an equal opportunity employer. AstraZeneca will consider all qualified applicants for employment without discrimination on grounds of disability, sex or sexual orientation, pregnancy or maternity leave status, race or national or ethnic origin, age, religion or belief, gender identity or re-assignment, marital or civil partnership status, protected veteran status (if applicable) or any other characteristic protected by law. AstraZeneca only employs individuals with the right to work in the country/ies where the role is advertised.