Data Analyst

• Collect, clean, validate and analyze data from multiple business sources.
• Develop interactive Dashboards, Reports and Data Visualization Solutions.
• Write and optimize SQL Queries for data extraction, reporting and analysis.
• Identify business trends, patterns and opportunities through data-driven insights.
• Transform raw data into meaningful and actionable business recommendations.
• Create and maintain KPIs, Performance Metrics and Analytical Reports.
• Monitor Data Quality, Accuracy and Integrity across reporting systems.
• Automate reporting processes and improve data analysis workflows.
• Collaborate with stakeholders to understand business requirements and analytical needs.
• Present findings, insights and recommendations through reports and visual presentations.
• Work with Structured and Unstructured Datasets to support decision-making.
• Stay updated with emerging Analytics Tools, Business Intelligence Technologies and Industry Best Practices., Join our dynamic team where innovation meets opportunity. Together, let’s create a future of success, growth, and impactful achievements. View Open Positions Growth-focused roles Innovation-driven culture Collaborative team

If you have a passion for transforming data into meaningful insights and driving business decisions through analytics, this opportunity is built for you.

Eligibility

Bachelor’s degree in Computer Science, Statistics, Mathematics, Commerce, Data Science, or related field

Experience

Fresher to 2 years

Number of Positions

1 Position Available

Skills Required

Advanced Excel, SQL, Python, Power BI, Tableau, Data Visualization, Data Cleaning, Statistical Analysis, Dashboard Development, Business Intelligence.

Skills

• Strong proficiency in SQL, Data Analysis and Data Interpretation.
• Experience with Excel, Power BI, Tableau and Data Visualization Tools.
• Knowledge of Data Cleaning, Data Validation and Data Transformation Techniques.
• Strong understanding of Statistical Analysis, Forecasting and Trend Analysis.
• Experience in creating Dashboards, Reports and Business Intelligence Solutions.
• Familiarity with Python, Pandas, NumPy and Data Analytics Libraries.
• Knowledge of KPIs, Business Metrics and Performance Monitoring.
• Experience working with Structured and Unstructured Data from multiple sources.
• Understanding of Data Modelling, Data Warehousing and Reporting Concepts.
• Ability to identify Patterns, Trends and Actionable Business Insights.
• Familiarity with Machine Learning Fundamentals and Predictive Analytics Concepts.
• Strong Analytical Thinking, Problem-Solving, Communication and Presentation Skills.