Senior Business Analyst

As a Senior Business Analyst (Data Algorithms) at Agrim, you will be at the forefront of driving strategic decision-making by leveraging data insights. You will be responsible for designing and building algorithms that solve high-impact business problems. This is a challenging role that requires diving into real-world issues, crafting innovative solutions, and driving business impact through data-led decision-making. Key Responsibilities: - Solve challenging problems using the fundamentals of Data Science and Analytics, with a hunger for driving organizational change through data. - Experience in building and designing complex algorithms. - Design and execute experiments, analyzing results to drive consumption. - Work closely with the business to create business impact rather than just sharing insights. What's In It for You: - Shape your career by working with a team that has received prestigious industry awards and recognition. - Take on a high ownership role by managing end-to-end analytics reporting, dashboards, and data flows for critical business functions. - Gain hands-on experience with cutting-edge cloud technologies, BI tools, and scalable data pipelines. - Collaborate cross-functionally with senior leadership and various teams to inform decision-making. - Accelerate your career growth by gaining expertise in data engineering, business strategy, and advanced analytics. - Enjoy an innovation-friendly culture that encourages experimentation and continuous improvement. - Make an impact at scale by influencing company-wide KPIs, customer experience, revenue growth, and operational efficiency. - Access mentorship from experienced leaders in Data Science, Engineering, and Business. - Thrive in a dynamic work environment focused on analytical excellence and continuous improvement. Requirements: - Strong analytical and quantitative skills, using data and metrics to justify requirements. - Experience with Machine Learning Algorithms to solve complex problems and drive business impact. - 3-5 years of experience in roles involving data extraction, analysis, algorithm building, and problem-solving. - Proficiency in solving problems using a First Principle Approach. - Willingness to be hands-on, adaptable, and a keen learner. - Ability to lead, work independently, and collaborate effectively within a team. Good to Have Requirements: - Expertise with Python and SQL for analytics or automation. - Knowledge of AWS (S3, Athena, Glue, Lambda) or equivalent cloud platforms. - Familiarity with event-based systems like Mixpanel. - Understanding of data modeling and dimensional modeling (Star/Snowflake schema). - Exposure to version control (Git) and documentation tools. Skills: - Communication Skills - Delivery Excellence - Advanced Excel - Ownership - KPI analytics As a Senior Business Analyst (Data Algorithms) at Agrim, you will be at the forefront of driving strategic decision-making by leveraging data insights. You will be responsible for designing and building algorithms that solve high-impact business problems. This is a challenging role that requires diving into real-world issues, crafting innovative solutions, and driving business impact through data-led decision-making. Key Responsibilities: - Solve challenging problems using the fundamentals of Data Science and Analytics, with a hunger for driving organizational change through data. - Experience in building and designing complex algorithms. - Design and execute experiments, analyzing results to drive consumption. - Work closely with the business to create business impact rather than just sharing insights. What's In It for You: - Shape your career by working with a team that has received prestigious industry awards and recognition. - Take on a high ownership role by managing end-to-end analytics reporting, dashboards, and data flows for critical business functions. - Gain hands-on experience with cutting-edge cloud technologies, BI tools, and scalable data pipelines. - Collaborate cross-functionally with senior leadership and various teams to inform decision-making. - Accelerate your career growth by gaining expertise in data engineering, business strategy, and advanced analytics. - Enjoy an innovation-friendly culture that encourages experimentation and continuous improvement. - Make an impact at scale by influencing company-wide KPIs, customer experience, revenue growth, and operational efficiency. - Access mentorship from experienced leaders in Data Science, Engineering, and Business. - Thrive in a dynamic work environment focused on analytical excellence and continuous improvement. Requirements: - Strong analytical and quantitative skills, using data and metrics to justify requirements. - Experience with Machine Learning Algorithms to solve complex problems and drive business impact. - 3-5 years of experience in roles involving data extraction, analysis, algorithm building, and problem-solving. - Proficiency in solvi