Analytics Manager

Role Overview: Saarthee is a Global Strategy, Analytics, Technology, and AI consulting company with a holistic and tool-agnostic approach. As an Analytics Manager at Saarthee, you will lead a team of data analysts to design, develop, and implement data analysis and reporting systems to deliver accurate and timely data-driven insights. You will work closely with clients to identify opportunities for analytics institutionalization and collaborate with stakeholders to meet business objectives. Your role will involve managing and mentoring a team, ensuring data accuracy and security, and staying updated with emerging trends in data analytics. Key Responsibilities: - Develop and implement analytics strategies and plans to meet business objectives. - Design the analytics and reporting platform, recommend database software, ETL tool, analytics tool, and visualization tool. - Manage and mentor a team of data analysts to deliver high-quality data insights. - Guide the team in data synthesis, modeling techniques, and presenting actionable insights to address clients" business KPIs. - Engage with clients to identify analytics opportunities and define business requirements for data analysis. - Design, develop, and maintain data analytics systems and dashboards to meet client needs. - Ensure data accuracy, integrity, and security through effective data management practices. - Communicate complex data insights to non-technical stakeholders. - Identify and implement process improvement opportunities. - Utilize project management tools for client meetings, stakeholder management, and tracking execution and success metrics. - Stay updated with emerging trends and technologies in data analytics. Qualifications Required: - Bachelor's degree in a related field such as mathematics, statistics, computer science, or engineering. - Significant experience in data analytics with knowledge of data warehouses and dimensional data models. - Experience in leading and managing a team of data analysts. - Proficiency in SQL, R, Python, or similar programming languages for data analysis. - Familiarity with data visualization tools like Tableau or Power BI. - Strong problem-solving skills and ability to work independently and in a team environment. - Excellent communication and presentation skills to explain complex data insights to non-technical stakeholders. - Knowledge of data privacy, security best practices, and data governance. - Familiarity with cloud computing platforms like AWS is a plus. - Effective client management and engagement skills with an organized approach to work under tight deadlines. - Strong oral and written communication skills, along with team management and mentoring abilities.,