- Gather, collect, and extract data from various primary and secondary sources (e.g., databases, APIs, CRM systems, web scraping).

- Design, develop, and maintain robust data collection systems and databases to ensure data quality and integrity.

- Implement effective ways of collecting data and optimizing data workflows.

- Cleanse and preprocess raw data to identify and resolve errors, inconsistencies, missing values, and outliers.

- Transform data into a usable format for analysis, including aggregation, reshaping, and enrichment.

- Ensure the accuracy and reliability of data.

- Perform exploratory data analysis to identify trends, patterns, and anomalies.

- Apply various statistical techniques and analytical methods to interpret complex datasets and generate meaningful insights.

- Conduct diagnostic and predictive analytics to understand why certain events occurred and forecast future outcomes.

- Identify key metrics (KPIs) and track performance against business goals.





- Create interactive dashboards, reports, and visualizations using appropriate tools (e.g., Tableau, Power BI) to present data findings in a clear, compelling, and accessible manner for both technical and non-technical stakeholders.

- Generate regular and ad-hoc reports for leadership and cross-functional teams.

- Tell a compelling story with data, translating complex analyses into actionable recommendations.

- Collaborate closely with cross-functional teams (e.g., marketing, sales, product, engineering) to understand business requirements and translate them into data analysis and reporting solutions.

- Effectively communicate data-driven insights and recommendations to stakeholders at all levels, both verbally and in writing.

- Document the data analysis process, methodologies, and code for transparency and reproducibility.

📌 Lenskart : Business Analyst - Gurgaon (Gurugram)
🏢 Lenskart
📍 Gurugram