Ford Motor Company

Data Analyst, System Support Specialist

Ford Motor Company

full-time

Posted on:

Origin:  • 🇮🇳 India

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Job Level

Mid-LevelSenior

Tech Stack

AWSAzureBigQueryCloudGoogle Cloud PlatformSQL

About the role

  • Build an in-depth understanding of the business domain and data sources, demonstrating strong business acumen.
  • Extract, analyze, and transform data using SQL for insights.
  • Apply statistical methods and develop analytical models to solve business problems.
  • Design and implement analytical solutions, contributing to their deployment, ideally leveraging Cloud environments.
  • Work closely and collaboratively with stakeholders like NA business systems (DCDS/UDB) team, Dealer operation excellence team, Whole sale team & GDIA within an agile development environment.
  • Integrate and operationalize Analytical models: project based insights, dashboard building, ad-hoc reports or analytics, frequency based report outs.
  • Monitor the performance and impact of deployed models, iterating & automating the work as needed.
  • Present findings and recommendations effectively to both technical and non-technical audiences to inform and drive business decisions.
  • Support Certification of DMS for upgrade to a new specification recommended by NA DCDS team.
  • Work with stakeholders to create scope for any DMS enhancement required for Business.
  • Manage dealer data transfers, monitor fallen feeds, and coordinate with the DMS Support Desk.
  • Track and resolve DTMS messages, support tickets, and escalate issues beyond agreed timelines.
  • Resolve UDB queries and support DMS/Dealership personnel with accurate, timely responses.
  • Train and coach Dealer Teams on UDB processes and effective use of the FCSD Dashboard.
  • Conduct weekly governance to ensure timely issue resolution and continuous data flow.

Requirements

  • At least 3 years of relevant professional experience applying data science techniques to solve business problems, including demonstrated hands-on proficiency with SQL.
  • Bachelor Degree in relevant field.
  • Hands-on experience in conducting data analysis and drawing insights for the business.
  • Hands on project experience in automobile aftersales or Customer service operations is an added advantage (Optional).
  • Proficiency in SQL, including the ability to write and optimize queries for data extraction and analysis.
  • Proficiency in GCP (Big Query), Advanced Excel, Alteryx workflow, Visualisation tools like Power BI & Qliksense.
  • Know how of Dealer management System in Auto OEM or any CRM systems used to manage customer transactions.
  • Working knowledge in a Cloud environment (GCP, AWS, or Azure) is preferred for developing and deploying models.
  • Nice to have: Exposure to Generative AI / Large Language Models (LLMs).
  • Proven ability to understand and formulate business problem statements.
  • Ability to translate Business Problem statements into data science problems.
  • Strong problem-solving ability, with the capacity to analyze complex issues and develop effective solutions.
  • After sales experience with analytical skills, know how on dealer service.
  • Excellent verbal and written communication skills, with a demonstrated ability to translate complex technical information and results into simple, understandable language for non-technical audiences.
  • Strong business engagement skills, including the ability to build relationships, collaborate effectively with stakeholders, and contribute to data-driven decision-making.