Require a Data Analyst in Bangalore

Collect, clean, and validate large datasets from multiple internal and external sources. Design and maintain dashboards and reports using tools such as Tableau, Power BI, or Looker to track KPIs and business performance. Perform in-depth data analysis to identify trends, patterns, and anomalies that inform business strategy. Collaborate with engineering and product teams to define data requirements and ensure data integrity. Develop and automate data pipelines to support real-time analytics and reporting needs. Translate complex technical findings into clear, concise, and actionable insights for non-technical stakeholders. Conduct A/B testing and experiment analysis to evaluate product changes and marketing campaigns. Stay current with emerging data analysis techniques, tools, and best practices in the technology sector. Requirements Bachelors degree in Computer Science, Statistics, Mathematics, Economics, or a related field. 25 years of experience in data analysis, business intelligence, or a similar role within a technology company. Proficiency in SQL for querying and manipulating large datasets. Strong experience with data visualization tools (e.g., Tableau, Power BI, or Looker). Familiarity with Python or R for data manipulation and statistical analysis. Experience with Excel at an advanced level, including pivot tables, macros, and data modeling. Understanding of data warehousing concepts and experience with cloud platforms (e.g., AWS, Google Cloud, or Azure) is a plus. Excellent problem-solving skills and ability to work independently in a fast-paced environment. Strong communication and presentation skills to convey insights to diverse audiences. Ability to manage multiple priorities and deliver results under tight deadlines. Collect, clean, and validate large datasets from multiple internal and external sources. Design and maintain dashboards and reports using tools such as Tableau, Power BI, or Looker to track KPIs and business performance. Perform in-depth data analysis to identify trends, patterns, and anomalies that inform business strategy. Collaborate with engineering and product teams to define data requirements and ensure data integrity. Develop and automate data pipelines to support real-time analytics and reporting needs. Translate complex technical findings into clear, concise, and actionable insights for non-technical stakeholders. Conduct A/B testing and experiment analysis to evaluate product changes and marketing campaigns. Stay current with emerging data analysis techniques, tools, and best practices in the technology sector. Requirements Bachelors degree in Computer Science, Statistics, Mathematics, Economics, or a related field. 25 years of experience in data analysis, business intelligence, or a similar role within a technology company. Proficiency in SQL for querying and manipulating large datasets. Strong experience with data visualization tools (e.g., Tableau, Power BI, or Looker). Familiarity with Python or R for data manipulation and statistical analysis. Experience with Excel at an advanced level, including pivot tables, macros, and data modeling. Understanding of data warehousing concepts and experience with cloud platforms (e.g., AWS, Google Cloud, or Azure) is a plus. Excellent problem-solving skills and ability to work independently in a fast-paced environment. Strong communication and presentation skills to convey insights to diverse audiences. Ability to manage multiple priorities and deliver results under tight deadlines.