Data Analyst

Key Responsibilities

• Data Collection & Analysis: Collect, clean, and analyse large datasets to support business decisions and identify opportunities for improvement.
• Reporting & Visualization: Develop and maintain dashboards, visualizations, and reports to present data insights clearly and effectively to various stakeholders.
• Data Quality Assurance: Conduct quality assurance tests on data, troubleshoot issues, and work with relevant teams to resolve data discrepancies.
• Statistical Analysis: Perform statistical analyses, including regression, hypothesis testing, and data modelling, to uncover trends and inform strategic decisions.
• Data Interpretation: Translate data findings into actionable insights and provide recommendations to improve business processes and strategies.
• Collaboration: Work closely with cross-functional teams such as Product, Marketing, Sales, and Operations to understand their data needs and provide support.
• Continuous Improvement: Identify opportunities to optimize data processes, reporting accuracy, and timeliness of insights.

  Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or a related field.

  Experience: 2-4 years of proven experience as a Data Analyst

  Technical Skills:

• Proficient in SQL(PostgreSQL) for data extraction and manipulation.
• Strong experience with data visualization tools such as Tableau, Power BI, or similar.
• Knowledge of statistical software such as Python is preferred.
• Familiarity with data warehousing concepts and tools (e.g., AWS Redshift, Snowflake, Big Query) is a plus.

  Soft Skills:

• Excellent analytical and problem-solving skills.
• Strong attention to detail with a commitment to accuracy.
• Effective communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
• Proactive, self-motivated, and able to work both independently and as part of a team.

Preferred Qualifications

• Understanding of machine learning concepts and practical experience with model building.
• Familiarity with data engineering workflows, including ETL (Extract, Transform, Load) processes.
• Previous experience in [specific industry, e.g. Automotive] is a plus.

Key Competencies

• Analytical Thinking: Ability to break down complex problems, analyse data, and provide clear insights.
• Attention to Detail: Maintain high-quality standards in data analysis and reporting.
• Collaboration: Ability to work with diverse teams and stakeholders to understand their needs and deliver actionable insights.
• Adaptability: Willingness to learn and stay updated with the latest trends and tools in data analysis.

Location- Gurugram

Notice period- 30 Days (preferred