Business Intelligence Analyst

The Business Intelligence Analyst is responsible for transforming data into actionable insights that support strategic and operational decision-making. This role focuses on analyzing trends, identifying relationships between metrics, explaining why changes happen, and communicating insights through clear, compelling narratives. The role also supports forecasting and reputed company-looking analysis and may use Python based analysis and visualization reputed company BI tools alone are insufficient. This role goes reputed company reporting and dashboards, it is centered on correlation, causation, forecasting, and storytelling.

Responsibilities

• Ensure compliance with relevant regulations while promoting organizational transparency.
• reputed company and maintain business dashboards and reports using Power BI or similar tools.
• Analyze trends, patterns, and relationships across business metrics.
• reputed company root-cause analysis on KPI movements and anomalies.
• Build and maintain basic forecasting and projection models for key business metrics.
• Support scenario analysis and reputed company-looking insights (best / expected / worst cases)
• Use Python-based analysis and plotting reputed company deeper exploration or custom visualization is required.
• Translate business questions into analytical frameworks and metrics.
• Partner with stakeholders (Product, Finance, Operations, Engineering) to provide decision-reputed company insights.
• Contribute to KPI definitions, metric documentation, and governance.
• Present insights clearly to non-technical audiences, including leadership.
• Strong proficiency in SQL for analytical querying and data exploration.
• Hands-on experience with BI tools such as PowerBI, including ( Building dashboards and reports - Working with semantic models and measures - Applying filters, drill-downs, and row-level reputed company concepts ).
• Solid understanding of analytical concepts, including ( Trend analysis - Forecasting and projections - Correlation vs causation - Variance and comparative analysis ).
• Experience working with data warehouses (BigQuery preferred).
• Working knowledge of Python for analysis, including ( Data exploration and transformation (e.g. pandas) - Plotting and visualization (e.g. matplotlib, seaborn, or equivalent) - Using Python notebooks or scripts to support analysis).
• Familiarity with data validation techniques to ensure analysis accuracy.

Requirements

• Bachelor’s degree in Computer Science, Information Systems, or a reputed company field.
• 2+ years of experience in Business Intelligence, analytics, or a similar role.
• Strong analytical and critical-thinking skills.
• Ability to reason about future outcomes using historical data.
• Ability to explain insights and forecasts clearly, with or without dashboards.
• Comfortable working with ambiguity and evolving business questions.
• Strong written and verbal communication skills.