Analytical Modeler

3 weeks ago

Chennai, India Ford Motor Company Full time
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

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