CVS Health Senior Statistical Analyst - Capacity Planning in Buffalo Grove, Illinois

Job Description

The Performance Analytics team provides capacity planning and performance engineering advice to application teams, developers, architects, and senior IT leadership for critical, high-volume, customer facing enterprise applications.

The incumbent will be responsible for working with the rest of the forecasting and capacity modeling team as we catalog, document, and interactively improve our forecasting, capacity models, and analytics.

Core job responsibilities include:

 Data analysis

 Test strategy development

 Scalability assessments

 Performance / Capacity Non-Functional Requirements (NFR) elicitation and documentation

 Performance and Capacity assessments of systems and architectures

 Statistical model development, maintenance, and sensitivity analysis

 Forecasting of future performance, load, and scalability for select systems and platforms

The successful candidate shall:

 Promote strong practice and techniques to application teams, such as helping them to articulate performance objectives, document performance and capacity risks, develop effective performance NFRs, and provide detailed performance test objectives for these projects.

 Drive best practice controls for consistency and accuracy, across and within the Capacity Planning / Performance Analytics team.

 Apply statistical and data visualization analysis of performance metrics data to provide insights, clarity, and trend indications for relevant attributes of performance and scalability of the applications and services studied.

 Define performance and scalability principles, practices and patterns to enable development teams to engineer for performance and system quality.

 Analyze actual and predicted performance metrics to obtain quantitative, rational basis for conclusions through the application of logic and scientific or economic disciplines and techniques.

 Devise modeling and measuring techniques; utilize mathematics, statistical methods, engineering methods, operations research techniques (linear programming, game theory, probability theory, symbolic language, etc.) and other principles and laws of scientific and economic disciplines.

 Create, enhance, and exploit performance models to generate forecasts of future expected performance, load, and scalability. Modeled aspects may include scenarios, workloads, budgets and metrics.

 Coach team members on statistical modeling best practice.

 Help to drive innovation across the team.

 Work on unusually complex technical problems and provide solutions which are innovative and ingenious.

 Work without need for supervision and structure.

 Exercise considerable latitude in determining technical objectives or methods to deliver assignments.

 Recognize that erroneous decisions or recommendation can result in failure of key systems to meet customer demand and result in significant loss of revenue and market share, potentially causing the company to violate government-mandated health services delivery objectives.

 Interact with senior IT executives and application managers on significant technical matters, often requiring coordination between organizations.

Required Qualifications

3+ years of experience in a professional, modeling/ analysis-oriented role, preferably including forecasting, regression analysis, time-series, etc.

2+ years experience with Linear-Regression / Time-Series / Statistical Modeling; professional or academic

2+ Experience with descriptive and inferential statistics and data analytics theory, practice, and tools.

Preferred Qualifications

  • Familiarity with performance engineering, practice, or testing

  • Strong interpersonal communication skills discussing data analysis, data visualization, planning, and risk mitigation

  • Ability to troubleshoot complex technical situations and help technical teams resolve issues

  • Ability to manage executive communications for detailed, technical topics

  • Ability to work independently, when necessary, to complete assignments.

Education

Verifiable Bachelor's degree or equivalent experience required. Degree in Mathematics / Statistics / Applied Economics / Operations Research / Advanced Analytics, or other relevant field strongly preferred.

Business Overview

It’s a new day in health care.

Combining CVS Health and Aetna was a transformative moment for our company and our industry, establishing CVS Health as the nation’s premier health innovation company. Through our health services, insurance plans and community pharmacists, we’re pioneering a bold new approach to total health. As a CVS Health colleague, you’ll be at the center of it all.

We offer a diverse work experience that empowers colleagues for career success. In addition to skill and experience, we also seek to attract and retain colleagues whose beliefs and behaviors are in alignment with our core values of collaboration, innovation, caring, integrity and accountability.

CVS Health is an equal opportunity/affirmative action employer. Gender/Ethnicity/Disability/Protected Veteran – we highly value and are committed to all forms of diversity in the workplace. We proudly support and encourage people with military experience (active, veterans, reservists and National Guard) as well as military spouses to apply for CVS Health job opportunities. We comply with the laws and regulations set forth in the following EEO is the Law Poster: EEO IS THE LAW at https://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf and EEO IS THE LAW SUPPLEMENT at https://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm . We provide reasonable accommodations to qualified individuals with disabilities. If you require assistance to apply for this job, please contact our Advice and Counsel Reasonable Accomodations team at mailto:Advice&Counsel@cvshealth.com . Please note that we only accept applications for employment via this site.

If technical issues are preventing you from applying to a position, contact Kenexa Helpdesk at 1-855-338-5609 or cvshealthsupport@us.ibm.com . For technical issues with the Virtual Job Tryout assessment, contact the Shaker Help Desk at 1-877-987-5352.