Analytical Modeler - Chennai, India - Ford Motor Company

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    Full time
    Description
  • Enthusiastic and self-motivated, with ability to lead projects proactively
  • Meticulous attention to detail, with an overall passion for continuous improvement
  • Innovative and creative, with a logical and methodical approach to problem solving
  • Credible and articulate, with excellent communication, presentation, and interpersonal skills
  • Ability to multi-task and manage competing priorities
  • Use statistical methodologies leveraging 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)
  • Domain

  • 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
  • Subscription Analytics
  • Product Analytics
  • Demand Modeling
  • Market Research
  • Statistical Scoring models to be used in Risk/Marketing domains
  • Market Mix Modeling
  • Structural equation modeling for identifying accelerators of customer satisfaction and loyalty
  • Tech Skill

  • Experience with SQL and data warehousing (. GCP/Hadoop/Teradata/Oracle/DB2)
  • Experience using tools in BI, ETL, Reporting /Visualization/Dashboards
  • Programming experience in languages like Java, C, C++, with the understanding of object-oriented programming strongly desired
  • Experience with multiple Operating systems (., MSDOS, Linux/Unix), and Unix scripting strongly desired
  • Experience with data handling using SAS, R or Python desired.
  • Exposure to Bigdata based analytical solutions and hands-on experience with data lakes/ data cleansing/ data management.
  • Soft Skill

  • Good Analysis and problem-solving skills.
  • Ability to get Insights from Data, provide visualization, and story-telling.
  • Flexibility to explore and work with newer technologies and tools.
  • Ability to learn quickly, adapt, and set direction when faced with ambiguous scenarios.
  • Excellent collaborative communication and Team skills
  • Other Qualification

  • Candidates should have significant hands-on experience with analytics projects using advanced Statistical / Econometrics / Operation Research / Actuarial or related quantitative techniques across various functions
  • 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
  • R / SAS / Python or other quantitative analysis programming skills