Senior Manager – CVS Remote Jobs

Job Type: Senior Manager from home
Location: Texas work from home
Company: CVS Health

In order to motivate customers to constantly choose CVS as their go-to shop for health and wellness products, the Fortune 4 corporation strives to provide the most rewarding and relevant individualized experiences through a first-rate personalisation and loyalty program. This is one of the company’s key initiatives, and we have a team working hard to find the greatest individuals available to advance us toward our objective. The business has made investments in cutting-edge technology, a scaling-up of our loyalty program, and deep analytics and data science experience in order to consistently pursue excellence and innovation in this field.

The Front Store Growth Analytics team supports our effort to become a customer-centric, data-driven business as part of the Analytics & Behavior Change division. By seeing opportunities and improving customer strategies developed by examining trends in customer shopping behavior, wants, intentions, and answers, this team actively monitors and aids in the growth of CVS customer journeys through franchising. In a dynamic and stimulating environment, the team uses advanced analytics, machine learning, and a hypothesis-driven methodology to quickly translate data into customer-centric, actionable insights. To join our team and assist us in completing this endeavor, we are seeking the finest, the brightest, and the most passionate visionaries in the field of analytics.

The ideal applicant should have a strong attention to detail, be able to comprehend complicated circumstances quickly, manage several pressing projects concurrently, and have a track record of speaking in an open and honest manner that immediately earns respect.

The ideal location for this role will be close to one of our Analytics Hubs (Boston, RI, NYC, Chicago or Irving TX)

Responsibilities:

• Directing a group of analytics experts using accepted best practices.
• Knowledge of big data topics. Ability to organize data analysis, driving analytics solutions and insights to comprehend customer behaviors and insights.
• Knowing how to define them as analytical challenges and translate key drivers of business value into business prospects like how to expand a business.
• ability to convert corporate issues into analytically sound solutions.
• demonstrating a desire to comprehend and delve into technical nuances.
• ability to use analytics to solve challenges.
• working together to comprehend the strategy, issues, and objectives of business partners.
• provides insights to many teams.
• Provide top employees and internal clients with recommendations. junior team members are mentored. independently manages and directs the client connection with senior business executives.
• Address problems and get rid of obstacles that impede analytics initiatives.
• To reduce risks, creating backup plans and promptly putting them into effect Utilizing knowledge of business drivers, allied fields, and the external market, implements business area strategies and priorities to fulfill goals.

Pay Scale

The usual pay scale for this position is as follows: 115,000 minimum; 230,000 maximum

Please remember that this range represents the salary range for every position in the job grade that this position belongs to. The location is just one of several variables that will be considered when determining the actual compensation offer.

Requirements:

• 5+ years of expertise in data science and analytics leading studies and projects with a track record of having a positive influence on business
• 3+ years of experience in people management
• 4+ years of experience consulting on strategy or working on strategy teams.
• 5+ years of SQL, Python, R, or related experience

Preferred Requirements

• Strong knowledge of sophisticated analytics tools and languages to analyze huge data sets from different data sources. 7+ years of experience in advanced analytics in enterprise level organizations, preferably in retail.
• Anticipates issues and obstacles and takes preventative measures before they arise.
• Experience in the retail & consumer products sectors is preferred.
• Great aptitude for explaining technical ideas and ramifications to commercial partners.

Education

• A bachelor’s degree in a quantitative discipline, or a comparable level of formal education and work experience.
• MBA or master’s degree in a quantitative subject is preferable.