01Overview
Description
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.
Responsibilities
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 Power Query and Alteryx
- Develop optimized SQL queries (including BigQuery) for efficient data processing
- Build scalable and reusable data models for reporting and analytics
Reporting & Visualization
- Develop interactive dashboards using Power BI and Qlik Sense
- 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
Qualifications
Required
Any Graduate
- 8+ years of experience in Data Analytics, Business Intelligence, or similar roles
- Solid experience in Power BI and Qlik Sense
- Proficiency in SQL and data modeling concepts
- Experience with ETL tools (Power Query, Alteryx, or similar)
- Advanced skills in Microsoft Ex .
