Bi Analyst
3 days ago
About the Opportunity:
We are looking for a proactive and analytical BI Analyst with 15 years of experience in business intelligence, reporting, and data visualization. The role involves working with cross-functional teams to design and deliver data-driven insights through dashboards, reports, and advanced analytics. The ideal candidate will have strong technical expertise in BI tools and a passion for transforming data into actionable business outcomes.
Key Responsibilities:
1. Data Collection and Preparation
- Extract, clean, validate, and prepare datasets from multiple business systems.
- Ensure accuracy, consistency, and integrity of data for analysis and reporting.
2. Report and Dashboard Development
- Design, build, and maintain scalable BI dashboards and reports using tools such as Power BI, Tableau, SAS, Qlik Sense.
- Develop intuitive data visualizations to monitor KPIs, business trends, and performance metrics.
3. Data Analysis and Insights
- Analyze data trends, correlations, and patterns to provide actionable insights.
- Conduct ad-hoc analysis to support strategic decision-making and operational improvements.
4. Documentation and User Enablement
- Document BI processes, data models, and reporting structures for knowledge sharing.
- Provide training and support to business users for effective use of BI solutions.
5. Collaboration and Stakeholder Management
- Work with business analysts, data engineers, and stakeholders to gather and refine reporting requirements.
- Translate business needs into clear technical BI solutions.
6. Continuous Improvement and Innovation
- Stay updated on BI tools, emerging data technologies, and visualization best practices.
- Recommend improvements to reporting processes and BI frameworks to enhance efficiency and usability.
Required Skills & Competencies:
- Proficiency in SQL and strong command over BI tools (Power BI, Tableau, SAS, Qlik Sense).
- Working knowledge of Python or R for advanced analytics (preferred).
- Solid understanding of data modeling, ETL concepts, and database structures.
- Strong analytical, problem-solving, and storytelling skills using data.
- Excellent communication skills with ability to work across technical and non-technical teams.
Education/Qualification:
- B.Tech/M.Tech (CS/IT), M.Sc (CS/IT), M.Sc (Statistics), or equivalent qualification in Data Science and Engineering.
- Advanced degree or certifications in BI/Data Analytics will be an added advantage.
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