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- 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)
- 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
- 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.
- 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
- 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
Analytical Modeler - Chennai, India - Ford Motor Company
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Soft Skill
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