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Established in 1995, Ford India is a wholly owned subsidiary of Ford Motor Company, a global automotive industry leader. Ford India manufactures and distributes automobiles and engines made at its modern, integrated manufacturing facilities at Maraimalai Nagar, near Chennai. The company′s models include the Endeavour, Fiesta and the Figo.

Ford′s operations in the country also include Global Business Services providing business services in the areas of IT, accounting and finance, financial services and automotive operations support, global analytics and engineering services. These operations serve Ford′s business units and skill teams globally out of centres in Chennai and Coimbatore. Ford’s businesses in India boast a 10,000-strong workforce.

What attributes do you look for when recruiting graduates?

We look for diversity and creative thinking. Candidates must be innovative and resourceful in performing the given tasks.

What key advice would you give to Indian students/graduates who would like to work for your company?

We have incorporated ONE Ford into our people processes to support employee development and drive the Company forward, while demonstrating expected behaviours that tie back to our business:

  • F Foster functional and technical excellence
  • O Own working together
  • R Role model ford values
  • D Deliver results

We would expect you to have these in order to join in our family.

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Analytics Modeler - Statistics/Econometrics

Location: Chennai, india

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Ford India

Chennai INDIA

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Analytics Modeler - Statistics/Econometrics

Location:
(INDIA) and Chennai
Job Reference:
10561
Functional Area/Experience:
Business, Accounting & Finance / 1 Year
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Job Description:

Job Description & Qualifications

We are looking for enthusiastic individuals to be part of our high-performing, team-oriented culture.

  • Develop statistical methodologies and deploy analytical tools to support different business initiatives
  • Continual enhancement of statistical techniques and their applications in solving business objectives
  • Compile and analyze the results from modeling output and translate into actionable insights
  • Acquire and share deep knowledge of data utilized by the team and its business partners
  • Participate in global conference calls and meetings as needed and manage multiple customer interfaces
  • Execute analytics special studies and ad hoc analyses
  • Evaluate new tools and technologies to improve analytical processes
  • Set own priorities and timelines to accomplish projects (accountability for project deliverables)
  • Further development of relevant analytical tools and processes in close cooperation with the global teams, especially with regard to European aspects
  • Definition of new tasks and the necessary requirements for them according to specifications
  • Identification and evaluation of new data sources, evaluation of suppliers and estimation of the potential use of the data
  • Presenting results including preparing recommendations for management decisions

Efforts will focus on the following key areas:

  • Various classical Statistical techniques such as Regression, Multivariate Analysis etc.
  • Data Mining & Text Mining
  • Time Series based forecasting modeling
  • Customer Segmentation – Cluster & Factor Analysis
  • Customer Relationship Management Analytics
  • Demand Modeling
  • Statistical Scoring models to be used in Risk/Marketing domains
  • Market Mix Modeling
  • Structural equation modeling for identifying accelerators of customer satisfaction and loyalty

Entity/Organization: FGBS- Ford Global Business Services

Skill Team: INGlobal Data Insights & Analytics

Education Qualifications:

MA
MBA

No. of years of experience: 1 to 3 years

Area of professional exposure (technical skills):

  • Candidates should have significant hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functions
  • Experience in Marketing, Sales, & Service, Customer Satisfaction, and applying analytical methods in the areas of pricing, marketing, and consumer insight
  • Candidates should have experience in handling databases, metrics, methods and processes as well as data mining and visualization
  • Candidates should have profound experience in the application and implementation of advanced optimization methods and programming languages
  • Candidates will be expected to successfully prioritize and manage multiple analytical projects / ad-hoc requests
  • Good technical depth with strong analytical/programing skills and ability to apply technical knowledge to do research
  • Candidate should possess strong communication skills
  • R / SAS / Python/ Matlab/ Alteryx/ Qlikview

Auto req ID 35732B