Data Analyst

As a Data Analyst in our company, your role involves collecting, cleaning, and validating large datasets from various internal and external sources. You will perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Additionally, you will develop and maintain dashboards using tools such as Tableau, Power BI, or Looker to visualize key performance indicators (KPIs). Collaboration with product, marketing, and engineering teams to understand data needs and deliver insights is a key aspect of this role. Automating routine reporting processes to improve efficiency and accuracy is also part of your responsibilities. Supporting A/B testing and experiment analysis to evaluate feature performance is essential. It is important to document data models, processes, and findings for transparency and knowledge sharing. Staying updated with emerging data analytics trends, tools, and best practices is encouraged. Key Responsibilities: - Collect, clean, and validate large datasets from various sources. - Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. - Develop and maintain dashboards using tools like Tableau, Power BI, or Looker. - Collaborate with product, marketing, and engineering teams to understand data needs. - Automate routine reporting processes to improve efficiency. - Support A/B testing and experiment analysis for evaluating feature performance. - Document data models, processes, and findings for transparency and knowledge sharing. - Stay updated with emerging data analytics trends, tools, and best practices. Qualifications Required: - Bachelors degree in Computer Science, Statistics, Mathematics, Economics, or a related field. - Proficiency in SQL for data querying and manipulation. - Strong understanding of Excel, including advanced functions, pivot tables, and data modeling. - Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio. - Basic knowledge of Python or R for data analysis and automation. - Familiarity with data warehousing concepts and cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. - Strong analytical thinking, problem-solving skills, and attention to detail. - Excellent communication skills to present findings clearly to non-technical stakeholders. - Willingness to learn, adapt quickly, and thrive in a collaborative, fast-moving environment. - Must be based in Gurgaon or willing to relocate to Gurgaon. As a Data Analyst in our company, your role involves collecting, cleaning, and validating large datasets from various internal and external sources. You will perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Additionally, you will develop and maintain dashboards using tools such as Tableau, Power BI, or Looker to visualize key performance indicators (KPIs). Collaboration with product, marketing, and engineering teams to understand data needs and deliver insights is a key aspect of this role. Automating routine reporting processes to improve efficiency and accuracy is also part of your responsibilities. Supporting A/B testing and experiment analysis to evaluate feature performance is essential. It is important to document data models, processes, and findings for transparency and knowledge sharing. Staying updated with emerging data analytics trends, tools, and best practices is encouraged. Key Responsibilities: - Collect, clean, and validate large datasets from various sources. - Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies. - Develop and maintain dashboards using tools like Tableau, Power BI, or Looker. - Collaborate with product, marketing, and engineering teams to understand data needs. - Automate routine reporting processes to improve efficiency. - Support A/B testing and experiment analysis for evaluating feature performance. - Document data models, processes, and findings for transparency and knowledge sharing. - Stay updated with emerging data analytics trends, tools, and best practices. Qualifications Required: - Bachelors degree in Computer Science, Statistics, Mathematics, Economics, or a related field. - Proficiency in SQL for data querying and manipulation. - Strong understanding of Excel, including advanced functions, pivot tables, and data modeling. - Experience with data visualization tools such as Tableau, Power BI, or Google Data Studio. - Basic knowledge of Python or R for data analysis and automation. - Familiarity with data warehousing concepts and cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus. - Strong analytical thinking, problem-solving skills, and attention to detail. - Excellent communication skills to present findings clearly to non-technical stakeholders. - Willingness to learn, adapt quickly, and thrive in a collaborative, fast-moving environment. - Must be based in Gurgaon or willing to relocate to Gurgaon.