Required Data Analyst - Pune

Job Summary:

A Data Analyst is responsible for collecting, processing, and analyzing large sets of data to help organizations make data-driven decisions. This role involves transforming raw data into actionable insights through statistical analysis, reporting, and visualization. The Data Analyst collaborates with cross-functional teams including business operations, marketing, finance, and product development to support strategic and operational goals. An ideal candidate is analytical, detail-oriented, and proficient in data handling tools and techniques. They should possess strong problem-solving skills and have the ability to translate complex datasets into meaningful recommendations.

Key Responsibilities:

1. Data Collection and Processing:

• Collect and organize data from various internal and external sources including databases, APIs, spreadsheets, and web platforms.
• Ensure the quality and integrity of data through validation, cleansing, and transformation processes.
• Collaborate with IT or data engineering teams to develop data pipelines or integrate new data sources as needed.
• Maintain structured databases and repositories for easy access and retrieval of data.

2. Data Analysis and Interpretation:

• Use statistical techniques and tools to analyze trends, patterns, and relationships in datasets.
• Identify key performance indicators (KPIs), anomalies, or inefficiencies across business operations.
• Conduct root cause analysis to explain business performance and recommend areas for improvement.
• Segment customer or user data for targeted marketing, product development, or service optimization.

3. Reporting and Visualization:

• Design and generate routine and ad hoc reports for stakeholders, including dashboards, charts, and graphs.
• Create visual representations of data using tools like Tableau, Power BI, or Excel to simplify complex data insights.
• Ensure that reports are easy to understand, visually consistent, and delivered within agreed timeframes.
• Present findings to stakeholders through written summaries, presentations, or meetings.

4. Business Collaboration:

• Work closely with managers and department heads to understand business needs and define data requirements.
• Translate business questions into analytical problems and deliver practical, data-driven solutions.
• Provide actionable recommendations based on data insights to support strategic decision-making.
• Support ongoing projects such as market analysis, customer behavior modeling, or operational forecasting.

5. Performance Monitoring and Optimization:

• Monitor key business processes and their performance metrics.
• Create alerts and tracking systems to detect unusual activities or performance drops.
• Assist in A/B testing, experimental design, and other methods to evaluate the impact of business initiatives.
• Optimize data workflows and suggest automation wherever possible.

6. Data Governance and Documentation:

• Ensure compliance with data privacy policies and data protection regulations such as GDPR, HIPAA, or others.
• Maintain proper documentation of data sources, methodologies, definitions, and transformation rules.
• Develop and enforce data management best practices to improve consistency and accuracy across..