Analytics Head in work from home, India

Role & Responsibilities : - Lead the analytics and data function, defining the overall analytics strategy in alignment with business objectives.- Partner with senior leadership and business teams to identify high-impact opportunities where data and analytics can drive revenue, profitability, customer growth, and operational efficiency.- Build and manage a high-performing team of data analysts, BI professionals, data scientists, and/or analytics managers.- Develop and track business KPIs, dashboards, MIS, and management reporting to enable data-driven decision-making.- Translate complex business problems into analytical frameworks, hypotheses, and actionable insights.- Own the development of advanced analytics, predictive models, segmentation, forecasting, and experimentation initiatives where relevant.- Establish strong standards for data quality, governance, reporting accuracy, and analytics processes.- Work closely with Data Engineering/Technology teams to improve data availability, architecture, pipelines, and analytics infrastructure.- Identify opportunities to automate recurring reports and processes, reducing manual effort and improving reporting turnaround time.- Present insights and recommendations to CXOs and senior stakeholders in a clear, business-oriented manner.- Drive a culture of self-service analytics and data literacy across the organization.- Evaluate and implement appropriate BI, analytics, AI, and visualization tools.- Manage analytics projects from problem definition through implementation, measurement, and business impact.- Define team goals, hiring plans, performance expectations, and professional development programs.- Ensure analytics initiatives have measurable business outcomes and continuously demonstrate ROI from data https://jobeax.com/link/yIDsN49xDuMSVm8R Candidate Profile : - 10 - 12 years of overall experience in Analytics, Business Intelligence, Data Science, Product Analytics, or a related field.- At least 3 - 5 years of experience managing analytics teams or leading large, cross-functional analytics initiatives.- Proven experience working directly with senior leadership/CXOs and influencing business strategy through data.- Strong understanding of SQL, data analysis, BI/visualization tools, and analytics methodologies.- Experience with tools such as Power BI, Tableau, Looker, Python, R, Excel, or equivalent technologies.- Strong understanding of data warehousing, ETL/data pipelines, cloud platforms, and modern data architecture.- Experience building and managing KPI frameworks, executive dashboards, forecasting, segmentation, experimentation, and performance analytics.- Ability to convert ambiguous business problems into structured analytical solutions and actionable recommendations.- Strong business acumen with the ability to understand P&L, revenue drivers, customer metrics, and operational KPIs.- Excellent stakeholder-management and communication skills, with the ability to explain complex analytical concepts to non-technical audiences.- Demonstrated ability to hire, mentor, and develop high-performing analytics teams.- Experience in using AI/ML or GenAI for business analytics would be an advantage.- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Science, Business Analytics, or a related discipline. (ref:hirist.tech)