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Individual will be responsible for working with large databases and develop presentations and insights for senior leadership reviews
Data Engineering & Transformation
Data Extraction: Extract and manage large-scale structured and unstructured datasets from Ford’s Enterprise Data Platform (EDP), SharePoint, legacy systems, and various relational databases.
ETL & Data Modeling: Clean, transform, and standardize raw data to create robust, scalable data models using Power Query, Alteryx, advanced MS Excel, and other ETL tools.
Reporting, Visualization & Presentations
Dashboard Development: Design and develop dynamic, user-friendly digital reporting solutions and dashboards using Power BI, Qlik Sense, and MS Excel.
Management Presentations: Prepare high-quality slide decks and executive presentations for leadership, demonstrating meticulous attention to detail, strict adherence to corporate formatting guidelines, and absolute data accuracy.
Excel Mastery: Create, replicate, and modify complex MS Excel-based templates utilizing advanced formulas and functions.
Workflow Automation: Develop and maintain automated workflows using MS Power Automate to send scheduled reports, alerts, and notifications via Email and MS Teams.
Experience: Proven experience in Data Analytics, Business Intelligence, or a similar data-centric role.
Technical Tools: Strong proficiency in data visualization tools (Power BI, Qlik Sense) and ETL/Data preparation tools (Alteryx, Power Query).
Advanced Excel & PowerPoint: Deep understanding of MS Excel (complex formulas, functions, templates) and PowerPoint (crafting professional management decks).
Attention to Detail: Impeccable attention to detail with a strong commitment to data accuracy and maintaining corporate branding/formatting standards in all deliverables.
Automation: Hands-on experience with MS Power Automate for workflow and notification automation.
Platform Administration: Experience managing SharePoint sites, shared drives, and user access controls.
Soft Skills: Strong analytical problem-solving skills, and the ability to collaborate effectively with end-users to gather requirements and present complex data clearly to leadership.
Preferred Qualifications (Added Advantage):
Industry Knowledge: Familiarity with Automotive Industry terminologies and KPIs, including Industry Segmentation, Volume, Market Share, Segment Share, and Competitor Analysis.
Cloud & SQL: Knowledge of Google Cloud Platform (GCP) and hands-on experience using BigQuery SQL.
AI & Machine Learning: Foundational knowledge of Artificial Intelligence (AI) and Machine Learning (ML) concepts and their potential applications in data analytics and reporting.
From live job posts on CoreHRx, updated 4 Nov 2026. Skill figures count posts that list their skills; salary figures only posts that show a salary.
The post does not state the pay. As an estimate, comparable posts on CoreHRx advertise ₹11L – ₹24L a year (typical for IT Jobs in India, 991 posts).
It is a full time job.
You apply on Ford Motor's website. CoreHRx takes you there after you sign in.
Interview preparation · 60 questions
This guide is for Indian job seekers preparing for SQL rounds in data analyst, data engineer, backend developer and database roles, from freshers to experienced professionals. It has 60 questions in three levels: easy covers joins, grouping and NULLs; medium covers window functions, CTEs, indexes and isolation levels; hard covers locking, MVCC, query tuning and classic puzzles such as login streaks and medians. Answers use ANSI SQL, with MySQL 8 and PostgreSQL notes where the two differ. Write each query against your own sample tables first, then compare your result with the sample answer.
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