Required Skills

Machine learning Business intelligence Analytics SQL Python

Work Authorization

  • Citizen

Preferred Employment

  • Full Time

Employment Type

  • Direct Hire

education qualification

  • UG :- - Not Required

  • PG :- - Not Required

Other Information

  • No of position :- ( 1 )

  • Post :- 1st Oct 2022

JOB DETAIL

: R / Python, Master-level skills in SQL, PowerBI, Tableau, Qlik, Machine learning statistics Data science, Business intelligence, business analytics, team handling

 

Roles Responsibilities:

  • Lead execution of multiple analytics engagements for client spread across industries. Hands-on experience would also be involved as this is more of a consultative role
  • Act as thought leader by conceptualizing and designing best-fit analytics solutions for client requirements
  • Take ownership and ensure success of pilot engagements leading to large size business opportunities
  • Ensure that clients are satisfied with the company always and will bring in repeated business by resolving any outstanding issues.
  • Support business development process through convincing the client stakeholder s due presales stage.
  • Contributing to team revenue performance by identifying further opportunities within client portfolio and producing relevant proposals and converting into revenue streams.

Desired Profile:

  • Should have 5+ years of experience in executing analytics assignments across industries
  • Should have at least 2+ years building a high-performance team
  • Be a consultant to our clients. Think out-of-the-box and develop visualization solutions which help clients in solving their business problems
  • Tremendous passion towards learning is a must. You must be able to merge the art of consulting and the science of Design in visualization
  • Drive and energy to work hard and achieve success in an entrepreneurial environment
  • Should have hands-on experience in delivering projects across multiple industries and analytics areas (e.g. Supply chain analytics, Marketing Analytics, Customer Analytics, Digital Analytics, Pricing Analytics etc.)
  • Deep understanding of analytics/statistical models, tool kits and visualization tools. Should have working knowledge of a variety of classification and predictive models (Lasso regression, Ridge regression, decision trees, gradient descent models, etc
  • Strong communication, storyboarding and presentation skills is a must

Company Information