Sr Analyst - Omnichannel Analytics

Overview

Our client, a leader in the retail, pharmacy, and health/wellness space is a Fortune 4 company aiming to deliver best-in-class personalized omnichannel experiences. A strong focus around pursuing this goal successfully hinges on their relevant and rewarding delivery and loyalty programs. We are looking to recruit the best talent in the world to help propel our client to this goal. The company has invested in state-of-the-art technology and deep expertise in analytics and data science to continuously strive for excellence and innovation.

The Loyalty & Omnichannel team which you would join leads our client’s mission to be a customer-centric, data-driven organization. They aggressively track our client’s customer journeys by defining and executing data strategies derived to enable growth through the use of customer shopping behavior, needs, intents, and responses. In addition, the team supports advanced analytics and hypothesis-driven approaches that quickly transform data into actionable, customer-centric insights in a fast-moving and energizing environment.

The ideal candidate is detail oriented with the ability to quickly understand complex situations, manage multiple urgent tasks, and communicate in an open and honest way that quickly builds trust and respect.

This position is remote with EST hours. Ideally candidates located in client’s Analytics Hubs (Boston, New York City, Chicago, or Rhode Island) preferred for Hybrid remote. 
 

Please Note: This is a W2 role, no C2C

 

One of the many projects you could be working on:

• Leading the development and implementation of our Omnichannel Data Strategy
• Rethinking and revitalizing our Self-Service reporting ecosystem
• Work closely with our Marketing, Merchandising and Loyalty partners to inform growth strategy through analytics – e.g., customer segmentation, test design, forecasting, what-if scenarios, and more.
• Be data curious, exploring new data that can help enhance our understanding of our consumers today.

What we’re looking for from you:

• You are a problem-solver at heart. You attack complex problems with techniques rooted in statistics and logic, and have a comfort translating technical analytics problems into simple business solutions.
• You have a proven track record of leveraging data to influence cross-functional stakeholders, partners, and leadership to drive decisions
• You can clearly articulate and communicate complex problems and solutions in a simple, logical, and impactful manner
• Entrepreneurial with ability to work in a climate of ambiguity and deliver in a fast-paced environment

Required Qualifications
 

• 3 – 5 years of relevant hands-on experience in data analytics, driving high impact analysis with a track record of delivering insights and business results
• Experience with data visualization tools such as Tableau, Power BI etc
• Proven experience with SQL and other data manipulation tools such as Python, R and such
• Excellent communication and presentation skills; business acumen and a strong understanding of how data can be used to solve business problems
• Strong problem solving and critical thinking skills; self starter – ability to work independently and manage multiple projects
• Adaptable and ability to thrive in fast-paced work environment
• Ability supporting multiple work streams and working with multiple business stakeholders to influence decision-making

 

Preferred Qualifications

• Experience working in a retail/omnichannel team
• Experience with wide variety of Advanced Analytics techniques
• Familiarity with multiple data platforms including clouding base and terabyte level database
• Experience with Snowflake,Thoughtspot 

Education

• Bachelor’s degree in quantitative field, or an equivalent combination of formal education and experience.
• Master’s degree in quantitative field or MBA strongly preferred.

 

Compensation Range: $85 -107K DOE

The range provided is our reasonable estimate of the compensation for this role. The actual amount may be higher or lower, based on factors such as experience, knowledge, skills, abilities and location.