Senior Data Analyst

Role Overview: As a Senior Data Analyst in our team, you will play a crucial role in transforming complex data into actionable insights that drive strategic decision-making. Your robust analytical skills, hands-on experience with data visualization tools, and expertise in SQL and statistical analysis will be essential for this position. Key Responsibilities: - Collect, clean, and analyze large datasets from multiple sources. - Develop dashboards and reports using tools such as Tableau, Power BI, or Looker. - Write complex SQL queries to extract and manipulate data. - Perform exploratory data analysis (EDA) and statistical modeling. - Identify trends, patterns, and business opportunities. - Collaborate with cross-functional teams (Product, Marketing, Finance, Operations). - Design and maintain KPIs and performance metrics. - Ensure data accuracy, integrity, and governance compliance. - Mentor junior analysts and review their work. - Present findings to senior leadership with transparent storytelling and visualization. Qualification Required: - Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field. - 5+ years of experience in data analysis or business intelligence. - Solid proficiency in SQL (advanced level), data visualization tools, Microsoft Excel (advanced functions, pivot tables), experience with programming languages such as Python or R, strong understanding of statistics (regression, hypothesis testing, A/B testing), and experience working with large datasets and data warehouses. Additional Details: Omit this section as there are no additional details of the company provided in the job description. Role Overview: As a Senior Data Analyst in our team, you will play a crucial role in transforming complex data into actionable insights that drive strategic decision-making. Your robust analytical skills, hands-on experience with data visualization tools, and expertise in SQL and statistical analysis will be essential for this position. Key Responsibilities: - Collect, clean, and analyze large datasets from multiple sources. - Develop dashboards and reports using tools such as Tableau, Power BI, or Looker. - Write complex SQL queries to extract and manipulate data. - Perform exploratory data analysis (EDA) and statistical modeling. - Identify trends, patterns, and business opportunities. - Collaborate with cross-functional teams (Product, Marketing, Finance, Operations). - Design and maintain KPIs and performance metrics. - Ensure data accuracy, integrity, and governance compliance. - Mentor junior analysts and review their work. - Present findings to senior leadership with transparent storytelling and visualization. Qualification Required: - Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Economics, or related field. - 5+ years of experience in data analysis or business intelligence. - Solid proficiency in SQL (advanced level), data visualization tools, Microsoft Excel (advanced functions, pivot tables), experience with programming languages such as Python or R, strong understanding of statistics (regression, hypothesis testing, A/B testing), and experience working with large datasets and data warehouses. Additional Details: Omit this section as there are no additional details of the company provided in the job description.