
Overview
About the job:
Key responsibilities:A. Power BI Development & Visualization
- Design, develop, and maintain interactive Power BI dashboards and reports to provide business users with timely and actionable insights.
- Translate complex data requirements into visually compelling and easy-to-understand dashboards.
- Optimize report performance and implement best practices for data visualization and user experience to enhance overall performance.
B. Data Extraction & Transformation
- Build, optimize, and maintain data queries from the Enterprise Data Warehouse (EDW) and other source systems. to ensure seamless data integration
- Develop, test, and deploy data pipelines using MS Azure services, Alteryx, and Informatica to ensure accurate, clean, and normalized datasets.
- Collaborate with Data Engineering teams to ensure efficient data flows, proper data modeling, and adherence to data governance standards.
C. Finance function Process Support
- Provide data preparation, validation, and reporting support for the process.
- Partner with Finance, Costing, and Operations teams to ensure timely and accurate report runs.
- Analyze process gaps and recommend improvements to streamline data handling and reporting.
D. Collaboration & Continuous Improvement
- Work closely with business stakeholders to gather and clarify requirements, ensuring deliverables align with business objectives.
- Troubleshoot data issues and recommend solutions for data quality improvements.
- Stay current with advancements in the Microsoft Azure ecosystem, Power BI, and other BI tools to continuously improve solutions.
Who can apply:
- have minimum 4 years of experience
Only those candidates can apply who:
Salary:
Competitive salaryExperience:
4 year(s)Deadline:
2025-10-18 23:59:59Skills required:
SQL, Data Analytics, Teamwork, Database Management System (DBMS), Power BI, Tableau, Interpersonal skills, Effective Communication and ETL processesOther Requirements:
- Bachelor’s degree in computer science, Information Systems, Data Analytics, or a related field.
- 4–5 years of hands-on experience in data analytics, business intelligence, or a related role.
- Advanced experience building Power BI dashboards, including DAX, Power Query (M), and data modeling.
- Strong proficiency with the Microsoft Azure data stack (e.g., Azure Data Factory, - Azure SQL Database, Azure Synapse Analytics).
- Hands-on experience with Alteryx for data blending, preparation, and automation.
- Working knowledge of Informatica for ETL processes.
- Solid SQL skills for writing and optimizing queries for large, complex datasets.
- Strong understanding of data normalization, data governance, and best practices for data management.
- Excellent problem-solving skills with the ability to manage multiple tasks and priorities.
- Strong communication skills and ability to collaborate effectively with business and technical stakeholders.
- Ability to manage and make decisions about competing priorities and resources.
- Ability to delegate where appropriate.
- Must be a strong team player/leader.
- Ability to lead data transformation projects with multiple junior data engineers.
- Strong oral, written, and interpersonal skills for interacting throughout all levels of the organization.
- Ability to communicate complex business problems and technical solutions.
About Company:
International Business Machines (IBM), founded in 1911 and headquartered in Armonk, New York, is a global technology company specializing in AI, cloud computing, and enterprise solutions. With a revenue of $60 billion in 2023, IBM continues to drive innovation through its AI platform Watson, quantum computing research, and hybrid cloud solutions. In India, IBM has a strong presence, operating multiple research centers and collaborating with businesses on digital transformation projects. The company is also focused on cybersecurity, blockchain, and automation, making it a key player in the global IT ecosystem. IBM’s legacy of technological advancements and strong R&D investments ensures its continued relevance in the rapidly evolving digital landscape.