Business Consulting Analyst-SCM-Data Analyst

Title: Business Consulting Consultant Job Description  As a Consultant/Sr. Consultant at NTT DATA Supply Chain Consulting, you join a team that helps craft supply chain strategies for the world’s largest and most dynamic firms. You will work in small teams of analytical thinkers and supply chain experts with a passion for problem solving. As part of a rapidly growing global firm, you will have opportunities to contribute, gain experience, learn, grow and advance in a stimulating small company environment.

Responsibilities
Your will be working with a project team from NTT DATA Supply Chain Consulting and our clients to design, manage, and deliver analysis-driven, actionable supply chain design/optimization recommendations. Your primary roles will be to perform data ETL (extract, transform, load), build supply chain optimization models/digital twins, execute & evaluate supply chain scenarios, perform data analytics on input data, optimization model outputs with the help of reports, visualization charts/dashboards. Client and/or other NTT DATA SCC team members can be in multiple geographies.

Specific responsibilities include Work closely with the project manager to gather, transform, analyze, summarize, and report client dataContribute to the design of the optimization model; build models according to specifications 
Use tools like Tableau and PowerBI to draw insights from large data sets using KNIME, SQL, Alteryx etc Develop comprehensive output reports from optimization scenarios
Work closely with the project manager to design, develop, and integrate material for client presentations and support the project manager during presentations to the client
Engage and collaborate with client teams to identify data issues, solution review & acceptance
Identify and communicate ways to improve NTT DATA Supply Chain Consulting analysis tools and techniques
Identify and communicate issues that may impact project schedule or quality
Learn client industry & business challenges
Create content, solve problems using qualitative & quantitative methodsOwn discrete elements in the project and drive them to completion
Develop and maintain positive client relationships
Refine problem solving & consulting skills
Support marketing (blogs, success stories) & talent acquisition

Qualifications The ideal candidate will:Hold a Bachelor’s or Master’s degree or equivalent equivalent from a leading institution in Industrial Engineering, Operations Research, Supply Chain Management, Logistics, or related major;
Have two or more years of experience in using quantitative methods to analyze supply chain decisions.Have expertise in tools/packages such as Excel, Access, Tableau, Power BI, Alteryx, R, SPSS, SQL, Python etc. Advanced skills in managing large data via relational databases is a plus
Demonstrate a track record of playing a pivotal role on supply chain projects (focus on Supply Chain Design and Inventory Optimization is preferred)
Preferably have experience with Optilogic, LLamasoft Supply Chain Guru, ToolsGroup SO99+, AIIMS, River logic, JDA Supply Chain Strategist, and/or IBM LogicNet Plus, or similar supply chain modeling environments for Network Design and Inventory Optimization
Have experience of working with teams in multiple geographies and cultures
Demonstrate strong analytical skills & critical thinking
Possess excellent communication (written& verbal) and presentation skills
Manage multiple tasks and priorities concurrently and work well under tight timelines
Reside in or be willing to relocate to Bengaluru, Karnataka, India with some travel to client sites
Consultants/Sr. Consultants at NTT DATA Supply Chain Consulting must be comfortable operating in these roles:
Doer: Ability to successfully complete critical project deliverables adhering to project deadlines
Communicator: Ability to understand & communicate requirements, gaps and analyses with internal and client teams performing your own data analysis as necessary
Problem Solver: Ability to utilize problem-solving skills to work through difficult challenges

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