In this role, you will work with enterprise data platforms, cloud environments (Google Cloud Platform), and legacy systems to build scalable data models, impactful dashboards, and executive-level reports. You will combine technical expertise with strong business acumen to ensure high-quality, accurate, and actionable insights.
Data Engineering & Transformation
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Extract and manage structured and unstructured data from enterprise platforms, SharePoint, and relational databases
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Design and develop ETL (Extract, Transform, Load) pipelines using tools such as Power Query and Alteryx
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Develop optimized SQL queries (including BigQuery) for efficient data processing
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Build scalable and reusable data models for reporting and analytics
Reporting & Visualization
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Develop interactive dashboards using Power BI and Qlik Sense
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Create executive-level reports and presentations with strong attention to data accuracy and formatting standards
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Develop advanced Excel-based models using complex formulas, pivot tables, and templates
Automation
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Design and implement automated workflows using Microsoft Power Automate
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Enable automated report distribution, alerts, and notifications via Teams and email
Deployment & Support
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Publish dashboards and configure data refresh schedules
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Implement role-based access control and data security standards
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Monitor and troubleshoot data pipelines and reporting issues
User Engagement & Continuous Improvement
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Gather requirements from stakeholders and translate them into dashboards and reports
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Track dashboard usage and adoption metrics
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Continuously enhance reporting solutions based on business needs
Required
Any Graduate
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8+ years of experience in Data Analytics, Business Intelligence, or similar roles
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Strong experience in Power BI and Qlik Sense
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Proficiency in SQL and data modeling concepts
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Experience with ETL tools (Power Query, Alteryx, or similar)
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Advanced skills in Microsoft Excel and PowerPoint
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Experience with Power Automate or similar workflow automation tools
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Strong analytical and problem-solving skills
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Excellent communication skills with ability to present to leadership
Preferred (Good to Have)
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Experience with Google Cloud Platform (GCP), BigQuery and Python
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Knowledge of automotive industry KPIs (market share, segmentation, etc.)
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Basic understanding of AI/ML concepts
