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This role is best suited for professionals who thrive in fast-paced environments, have strong expertise in Power BI, and are passionate about using data to drive business performance.
Key Responsibilities
Data Analysis & Business Intelligence
- Collect, clean, and analyze data from multiple sources (databases, APIs, external files)
- Develop and maintain interactive dashboards and reports using Power BI or similar BI tools
- Create compelling data visualizations to effectively communicate insights to stakeholders
- Perform advanced data analysis to identify trends, patterns, and business opportunities
- Collaborate with stakeholders to gather requirements and translate them into reporting solutions
- Ensure data accuracy and consistency through validation processes
- Build and maintain data models to support reporting and business intelligence needs
- Provide analytical insights to support both operational and strategic decision-making.
- Design and implement reporting frameworks to deliver timely and accurate business metrics
- Automate recurring reports and develop self-service analytics solutions
- Create real-time dashboards for monitoring business performance
- Maintain and enhance existing reporting infrastructure
- Provide training and support to end users on dashboards and reporting tools.
Education & Experience
- Bachelor's degree in Computer Science, Information Technology, Data Science, or related field
- 3-5 years of experience in data analysis, business intelligence, or reporting roles
- Proven experience delivering end-to-end data projects
- Strong English communication skills (written and spoken).
- Strong proficiency with Power BI (required) or other BI platforms (Tableau, QlikView, Looker)
- Expertise in DAX and Power Query for advanced Power BI development
- Proficiency in Python or R for data analysis and automation
- Experience with ETL tools and processes
- Knowledge of cloud data services (AWS, Azure, Google Cloud)
- Familiarity with API integrations and data connectivity
- Experience with data warehousing concepts and dimensional modeling.
- Strong understanding of data quality management
- Familiarity with data governance frameworks and compliance standards
- Knowledge of data security and privacy best practices
Key Skills
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