Vacancy expired!
and those authorized to work in the U.S. can be considered as W2 candidates.
Anticipated Start Date: 05/24/2021
Anticipated End Date: 11/20/2021
Title: Data Scientist
Location: Woonsocket, RI, 02895
Qualifications:
•Duration of assignment: 6 Months with potential for extension.
•Position will begin remotely but candidate must be within a commutable distance to Woonsocket RI for return to onsite work when conditions allow.
Responsibilities for Consultant job include but are not limited to:
•Write SQL queries to run complex analysis on large datasets to derive insights.
•Ability to automate processes.
•Generate campaign analytics to understand the effectiveness of L&P programs.
•Deliver insights around L&P programs to enhance future programs.
•Present findings to the leadership team and various other functional groups throughout retail.
•Conduct Ad-hoc Analytics and support for various functional groups throughout retail and all other duties as assigned.
•Translate data to actionable insights.
•Creating presentations of results and insights.
Experience:
Basic skills required for Front Store Analytics Consultant job:
•3+ years of experience with SQL.
•2+ years of experience working in with retail marketing analytics.
•2+ years of Customer/Campaign analysis experience.
•Experience working in small teams in high pressure environments.
•Experience developing hypothesis-based solutions and strategies.
•Experience presenting analytical findings to audiences at all levels.
•Ability to concisely explain complex analytical finding to non-analytic peers and internal customers.
•Experience measuring A/B test.
•Highly proficient use of Microsoft Excel and Microsoft Power Point.
•Highly proficient use of SQL.
•Strong Analytical mindset with detail orientation.
•Solid understanding of retail and/or data-driven marketing.
Position Summary:
•Job Title and Description: Front Store Analytics Consultant.
•Client's Enterprise Analytics team is seeking a Front Store Analytics Consultant who will take a hypothesis-driven approach to surface consumer and campaign insights that can be turned into actionable executable campaign plans.
•You will have the ability to multi-task, be able to quickly transform data into actionable customer centric insights in energizing environment.
Education:
•Bachelor''s degree in statistics, mathematics, computer science, quantitative economics or related field.
•Master degree in statistics, mathematics, computer science, quantitative economics or analytics related field or MBA is preferred.
