Managing Consultant, Advisors & Consulting Services

Project Delivery and Solution Design
Hands-on analysis of the retailer database using the full suite of Advisors analytical tools such as SAS, SQL, R, Excel, and specific internal tools, to create timely, relevant and actionable insights.
Independently manage and deliver projects with all levels of complexity.
Effectively manage projects, tasks and stakeholders to ensure that projects are delivered on time and with highest quality.
QA of own code and that of team members to ensure the highest quality of end-products.
Building analysis brief to transform business question into analysis. Contribute in strategic analysis planning.
Identify opportunities for standardization & automation of existing solutions and processes to enable Advisors to realize the maximum potential from our teams.
Challenge and improve analytical capability through development of tools or processes that offer optimization opportunities
Establish and maintain clear communication between various business partners and clients regarding project scope, timelines and deliverables.
Contribute to development of team knowledge base by participating in workshops and trainings.
Work directly with one of the world s largest data warehouses to deliver optimized data extracts, data visualizations, and detailed reports to support consulting engagements, campaign measurement, business intelligence, predictive modeling, and scoring applications.
Support global Advisors solution delivery in North America, Europe, APMEA, Latin America
Work with Advanced Analytics colleagues worldwide including project status reporting
Require to travel to client offices across the globe to deliver projects as per requirement

Education Needed:

Bachelors in quantitative field eg, Computer Science, Statistics, Econometrics, Engineering, Mathematics, Operations Research. M.S or MBA preferred.

Experience Needed:

5-7 years of experience in hands-on data mining, analysis and modeling, report development using large volumes of granular data to deliver analytics solutions for retail clients
Ability to easily move between business, analytical, and technical teams and articulate solution requirements for each group
Experience with quality control and data validation
Relevant retail industry experience in analyzing SKU level data in the areas of pricing, promotions, ranging and assortment, customer communication, loyalty, etc
Proven experience in using analysis to understand the behaviors, motivations and needs of customers in a retail environment and the use of this insight to create new strategies to grow long-term customer value
Ability to understand complex operational systems and business intelligence tools for the developing information products and analytical offerings to a large, global client base
Knowledge and application of statistical methods
Strong SAS, SQL, MS-Excel-VBA and PowerPoint skills.
Experience working in Hadoop environments a plus
Experience in statistical analysis techniques is a plus
Excellent English, quantitative, technical, and communication - both oral and written
Analytical/Problem Solving
Creativity/Innovation
Ability to handle/analyse large datasets efficiently
Self-driven, operates with a sense of urgency
Flexible to work with global offices across several time zones
Strong team player