Company Name

Ford ( Chennai )

Job Description

• ou will also be responsible for developing and implementing data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality.
  • You will need to have strong analytical and problem-solving skills, as well as the ability to communicate complex ideas clearly and concisely.
  • Have a keen interest in the business problem and have a strong business acumen, be updated with the latest information on the industry.
  • Exposure to, and practical knowledge of industry and business functions is preferred.
  • Have a passion and deep experience in descriptive analytics reporting.
  • Have expertise in problem solving, efficiently analyzing very large customer data sets from multiple, disparate sources.
  • Compile and analyze the results from modeling output and translate into actionable insights.
  • If you are a highly motivated and results-oriented individual with a passion for data, we encourage you to apply.
  • Master s degree in Statistics / Econometrics/ Operation Research or any other quantitative discipline or an Engineering degree with MBA from a premier institute and quantitative emphasis.
  • 4-8 years of experience in Data Analytics, Insight Generation, Automation, Data Visualization and/or Data Science
  • Proficiency in programming, preferably Python/PySpark, and SQL for Data Analysis
  • Experience of working on cloud platforms, especially GCP
  • BI Tools: 3+ years in Power BI (preferred) and/or Tableau
  • Ability to exercise independent judgment and decision making on complex issues regarding job duties and related tasks
  • Ability to works under minimal supervision, using independent judgment
  • Data analysis: Performing statistical analyses, exploring data, and identifying patterns
  • Data visualization: Using data visualization tools like Qlik Sense, Power BI and Looker to identify patterns and showcase findings to stakeholders
  • Diagnostic analysis: Comparing descriptive data to identify relationships and patterns to understand why a problem is occurring
  • Predictive analysis: Using data to form projections about the future, such as using historical records to make predictions about future events
  • Process improvement: Setting up processes to make data more efficient, ensuring quality assurance, and defining Key Performance Indicators (KPIs)
  • Reporting: Reporting trends to add business value
  • Support client objectives and project goals through data analysis, data mining by developing data-driven and insightful reports, visualizations, dashboards, and communicating results using appropriate programming languages visualization tools such as Python, SQL, Alteryx, Qlik Sense, PowerBI.
  • Understand project team requirements, processes data sets of different complexities ensuring quality and integrity, generates insightful reports, develops appropriate wireframes/visualization and associated data workflows.

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