IQ Workforce is a leading recruiting firm for the global engineering, analytics & data science communities.

Our client partner, CVS Health, is hiring Solution Strategists in their Enterprise Analytics organization. As CVS Health now makes up a PBM (Caremark) and one of the nation’s largest health insurers (Aetna), you will have the opportunity to create programs that use an unprecedented level of health data to improve health outcomes. If you are passionate about making a difference in the work you do, being recognized for your talent and expertise in solving complex and challenging analytical/data problems while contributing to the success of key strategic initiatives, consider growing your career with a Fortune 10 healthcare leader!

The Senior Advisor will be leading analytical work streams to develop customer insights and optimize targeted Loyalty CRM campaigns (ExtraCare) and delivery AI solutions. You will have the opportunity to work on developing, validating and scaling analytics driven contact strategies through a wide range of methods, including rapid test and learn, Machine Learning applications, in depth data/statistical analysis, forecasting and working with a team of analysts and key business partners.

You should have strong hands-on analytical experience and toolkit, out-of-box problem solving abilities and excellent communication skills. You will need to be able to leverage business intelligence to drive business decisions, improve efficiency & optimize campaigns/customer experiences through ExtraCare programs.

Responsibilities include:
Develops analytical insights, creates and implements test plans to optimize program targeting (direct mail, email, in-store, online/digital) – this includes audience selection, product and offer recommendation, multi-channel contact cadence, performance insights, test design and recommendations, execution and delivery etc.

Drive the agenda for campaign optimization testing roadmap, and manage the implementation from pre-test analysis, to test design, to execution support , to statistical measurement and post-test analysis and synthesizing the results/recommendation

Lead strategic customer analytics and insights projects, including business problem solving, guidance on methodologies, innovation and quality controls throughout projects

Lead and contribute to projects that have advanced technical resources (engineers, application devs, data scientists) and business SMEs

Communicate technical information (statistical methods, mathematical problems, databases) to business partners who do not have a technical background and help them to make data/fact-based business decisions

Conducts hands-on analysis on customer and campaign data using analytical and statistical tools such as SQL/SAS to uncover insights and develops recommendations

Qualifications:
Bachelor’s degree in scientific fields like Statistics or Computer Science Engineering required, MBA/MS preferred

6+ years CRM analytics experience in 1:1 targeted campaign environment, preferably involving retail industry and consulting firm experience
Solid understanding and hands on experience/knowledge with a variety of analytic processes and techniques, including data science (modeling & machine learning), customer behavioral analysis & insight development, measurement methodologies development, statistical hypothesis/significance testing.

3+ years of problem structuring and solving environment – including data structuring, quantitative reasoning, and mathematical analysis to examine and interpret data

3+ years of experience in project managing and building presentation decks for senior and executive leadership

3+ years of hands-on experience of data analysis, using any of the quantitative tool (SQL, SAS, R, python etc.) with strong knowledge of statistical programs, software packages

Experience leading/ contributing to projects that have advanced technical resources (engineers, application devs, data scientists) and business SMEs.

Preferred Qualifications:
Deep understanding of Retail, and/or data driven marketing, campaign analysis, customer analytics (loyalty, reactivation, retention), CRM or database marketing, and Machine Learning and optimization

Excellent communication skills to communicate technical information and complicated mathematical problems to business partners

Retail experience or analytics consulting experience is a plus
Modeling experience is a significant plus

Demonstrated capability to deliver work and provide positive leadership in fast-paced, multi-project, harmonious environment – be flexible and can tolerate ambiguity and still operate effectively

Passion for understanding and leveraging customer preferences to drive behavioral outcomes

Experience with wide variety of Advanced Analytics techniques; statistical analysis skills strongly preferred

Experience with multiple data platforms and terabyte level database, and data transformation and cleansing