Vacancy caducado!
and those authorized to work in the U.S. can be considered as W2 candidates. Anticipated Start Date: 05/24/2021Anticipated End Date: 11/20/2021Title: Data ScientistLocation: Woonsocket, RI, 02895Qualifications:•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.