
Analyst - Data Engineering
- Hyderabad, Telangana
- Permanent
- Full-time
- Ensure the quality and accuracy of master data across Enterprise Resource Planning software, and in house planning software master data.
- Design, maintain, and update Power BI dashboards for continuous data quality monitoring.
- Coordinate data migration activities, including the preparation of datasets aligned with defined requirements.
- Ensure data consistency across systems and resolve discrepancies when identified.
- Support data analysis, cleansing, correction, and transformation to enhance usability and reliability.
- Document master data across systems in a structured manner to ensure traceability and clarity.
- Python: for process automation, data transformation, and advanced analytics.
- Power BI: for building interactive dashboards and monitoring data quality.
- Alteryx: for no-code ETL workflows and data preparation.
- SQL: for querying, extracting, and validating data from structured databases.
- Excel: for exploratory analysis, quick validations, and data documentation.
- Miro: for visual collaboration, process mapping, and activity planning.
- Data Engineering: Ability to design, build, and maintain efficient and scalable data pipelines.
- ETL Processes: Proficiency in extracting, transforming, and loading data from multiple sources.
- Data Analysis: Skill in interpreting data, identifying patterns, and generating insights to support decision-making.
- Reporting: Competence in creating clear, visual, and results-oriented reports.
- Analytical Thinking: Structured approach to solving complex problems through data analysis.
- Artificial Intelligence Application: Experience using AI for building intelligent agents and performing advanced data analysis.
- Effective Communication: Ability to clearly convey ideas and adapt messaging to both technical and non-technical audiences.
- Team Collaboration: Willingness to work cross-functionally with various teams and departments.
- Proactivity: Initiative to identify improvement opportunities and act independently.
- Time Management: Strong organizational skills to prioritize tasks and meet tight deadlines.
- Results Orientation: Focus on delivering high-impact solutions aligned with business goals.