Requirement

- Designing and executing exploratory analyses independently across new and complex datasets.

- Applying statistical concepts across univariate, bivariate, and multivariate analyses where appropriate.

- Understanding distributions, trends, relationships, correlations, outliers, anomalies, and behavioural patterns within data.

- Selecting analytical techniques based on the business problem rather than relying on predefined analysis templates.

- Performing comprehensive data validation and sanity checks before drawing conclusions.

- Assessing dataset granularity, completeness, uniqueness, consistency, coverage, and potential biases.

- Developing robust analytical logic to account for data gaps, null values, edge cases, and unusual scenarios.

- Combining multiple analytical perspectives or datasets where required to arrive at stronger conclusions.

- Identifying the most productive way to investigate a problem and prioritising analyses based on likely business value.

- Using AI tools responsibly for coding, exploration, automation, documentation, and productivity improvements.

📌 Senior Data Analyst (Bengaluru)
🏢 Whitefield Careers
📍 Bengaluru