Manager/ Asst. Manager - Data Analytics

You will be joining the team as a Manager or Assistant Manager in Data Analytics. Your role will involve developing analytical frameworks, deriving business insights, and driving data-led decision-making. A strong analytical mindset, business acumen, and end-to-end data project management skills are crucial for this position. - Analyze complex datasets to identify trends, patterns, and actionable insights. - Create dashboards, reports, and visualizations using tools such as Power BI, Tableau, or similar software. - Collaborate with cross-functional teams like Marketing, Sales, Finance, and Operations to understand data requirements and provide solutions. - Build predictive and prescriptive models to aid strategic decisions. - Oversee and prioritize multiple analytics projects with tight deadlines. - Translate business challenges into structured analytical use cases. - Work closely with data engineering and IT teams to ensure data accuracy and system integration. - Engage with senior stakeholders to gather requirements and present findings. - Mentor junior analysts or interns (for Manager-level role). - Promote a data-driven culture within the organization. - Proficiency in SQL and at least one programming language (Python, R, etc.). - Expertise in data visualization tools like Power BI and Tableau. - Hands-on experience with statistical modeling and machine learning. - Strong problem-solving, communication, and storytelling skills. - Ability to work independently and manage ambiguity. - Bachelor's/Master's degree in Data Science, Statistics, Computer Science, Engineering, Economics, or a related field. - For Manager role: 6-10 years of relevant experience in data analytics or business intelligence. - For Assistant Manager role: 3-6 years of experience. - Experience in leading analytics initiatives and delivering measurable impact. - Preferred qualifications include experience in specific domains like BFSI, Retail, E-commerce, or Telecom. - Certifications in Data Analytics / BI tools are a plus. - Experience with cloud platforms like AWS, Azure, or GCP for data storage and computation is advantageous. - Ensure adherence to data governance and security standards.,