In this role, you will work with enterprise data platforms, cloud environments (Google Cloud Platform), and legacy systems to build scalable data models, impactful presentations, and executive-level reports. You will combine technical expertise with solid business acumen to ensure high-quality, accurate, and actionable insights.

Data Engineering & Transformation
Extract and manage structured and unstructured data from enterprise platforms, SharePoint, and relational databases
Design and develop ETL (Extract, Transform, Load) pipelines using tools such as Python and Power Query
Develop optimized SQL queries including BigQuery for productive data processing
Build scalable and reusable data models for reporting and analytics

Reporting & Visualization
Develop interactive dashboards using Power BI and MS Excel
Create executive-level reports and presentations with strong attention to data accuracy and formatting standards
Develop advanced Excel-based models using complex formulas, pivot tables, and templates

Automation
Design and implement automated workflows using Microsoft Power Automate
Enable automated report distribution, alerts, and notifications via Teams and email

Deployment & Support




Publish dashboards and configure data refresh schedules
Implement role-based access control and data security standards
Monitor and troubleshoot data pipelines and reporting issues

User Engagement & Continuous Improvement
Gather requirements from stakeholders and translate them into dashboards and reports
Track dashboard usage and adoption metrics
Continuously enhance reporting solutions based on business needs

Bachelor of Computer Science Engineering BE CSC - with Specialization in AI, ML, LLM
1+ years of experience in Data Analytics, Business Intelligence, or similar roles
Solid experience in Power BI and Python
Proficiency in SQL and data modeling concepts
Experience with ETL tools (Power Query, Alteryx, or similar)
Advanced skills in Microsoft Excel and PowerPoint
Experience with Power Automate or similar workflow automation tools
Experience with Google Cloud Platform (GCP), BigQuery
Strong analytical and problem-solving skills
Excellent communication skills with ability to present to leadership

Preferred (Good to Have)
Knowledge of automotive industry KPIs (market share, segmentation, etc.)

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