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Infosys

Senior Functional Consultant

Indianapolis, IN

Infosys is hiring for the role of Senior Functional Consultant on our Analytics team. The ideal candidate will be responsible for solving business problem for our Retail/CPG clients through data driven insights. Your role will combine a blend of Retail/CPG domain, Analytical experience, Client interfacing skills, and solution design and business acumen so your insights not only enlighten the clients but also pave the way for launching deeper into future analysis. You will advise clients and internal teams through short burst high-impact engagements on identifying business problem, solving business problem through suitable approaches and techniques pertaining to learning and technology. You will effectively communicate data-derived insights to non-technical audiences appropriately and mentor junior or aspiring consultant/data scientists.

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Qualifications:
  • Bachelor's degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education.
  • At least 4 years of experience in Information Technology.
  • Candidate must be located at Raleigh, NC , Indianapolis, IN, Richardson, Tx or Lisle, IL or willing to relocate.
  • 50% travel might be required.
  • U.S. citizens and those authorized to work in the U.S. are encouraged to apply. We are unable to sponsor at this time .
  • Strong experience in data modeling (fact and dimension relationship) and preparing dashboards/reports to present insights to executive level stakeholders.
  • Working knowledge of Microsoft Fabric.
  • Strong experience interpreting data and presenting business analysis to stakeholders.
  • Worked on solving Retail/CPG business problems likes - sales forecasting, inventory optimization, route optimization, Campaign analytics, Market Basket analysis, Loyalty analytics, Pricing and Promotion analytics, customer segmentation
  • Fluent in using one or more of analytical tools -R, SAS, Matlab, Python or equivalent statistical analysis software
Preferred Qualifications:
  • MBA or MS from prestigious University in area of quantitative discipline such as Statistics, Applied Math, Operations Research, Computer Science, Engineering or Physics
  • At least 6 years of experience with CPG / Retail / logistic / supply chain domain consulting/Business Intelligence/analytics.
  • 6+ years applied experience in exploratory data analysis, devising, deploying and servicing statistical models
The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

About Us
Infosys is a global leader in next-generation digital services and consulting. We enable clients in 50 countries to navigate their digital transformation. With over three decades of experience in leading the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver outstanding levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.

Infosys is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, spouse of protected veteran, or disability.

To learn more about Infosys and see our perspectives in action please visit us at www.Infosys.com

Client-provided location(s): Indianapolis, IN, USA
Job ID: Infosys-118602BR
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Life Insurance
    • HSA
  • Parental Benefits

    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
  • Office Life and Perks

    • Commuter Benefits Program
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
  • Financial and Retirement

    • 401(K)
    • Relocation Assistance
  • Professional Development

    • Learning and Development Stipend