Key Responsibilities: • Define and execute the organization's data analytics strategy aligned with business objectives. • Provide actionable insights and recommendations to improve revenue, profitability, customer satisfaction, operational efficiency, and business growth. • Analyze Sales, CRM, Technical Services, and Operations data to identify trends, revenue leakages, conversion gaps, customer issues, and improvement opportunities. • Develop executive dashboards, MIS reports, KPI/KRI scorecards, and performance monitoring frameworks. • Lead the design and optimization of analytics infrastructure on GCP and BigQuery. • Oversee ETL processes, data pipelines, automation initiatives, API integrations, and data governance. • Integrate data from multiple business platforms, including Salesforce, LeadSquared, Looker, BigQuery, ERP, CRM, and other systems. • Partner closely with the CEO and business leaders to support strategic and operational decision-making. • Identify process inefficiencies, operational bottlenecks, business risks, and cost optimization opportunities across functions. • Establish data quality standards, reporting governance, and best practices across the organization. Team Leadership & Capability Building • Build, structure, and scale the data analytics function based on evolving business requirements. • Hire, mentor, develop, and retain a high-performing team of 5–10 data analysts, BI developers, and data engineers. • Define team goals, performance metrics,



career development plans, and capability-building initiatives. • Foster a culture of ownership, innovation, continuous improvement, and business partnership within the analytics team. • Ensure timely delivery of analytics projects, reports, dashboards, and business insights.

Required Skills • Strong expertise in Google Cloud Platform (GCP) and BigQuery architecture • Experience in Dashboard Development, Business Intelligence, and Data Visualization • Strong understanding of sales analytics, CRM analytics, customer analytics, and operational analytics • Hands-on experience in ETL/ELT processes, data automation, APIs, and data warehousing • Advanced Excel and analytical skills • Experience with Salesforce, LeadSquared, Looker, BigQuery, APIs, and ERP/CRM systems • Solid stakeholder management and cross-functional collaboration skills • Proven experience in building, leading, and scaling analytics teams • Strong business acumen with the ability to convert data into strategic business recommendations

Key Success Metrics • Revenue growth driven through analytics-led insights • Improvement in sales conversion, customer retention, and customer satisfaction • Identification and closure of revenue leakages and operational gaps • Increased automation and reporting efficiency • Effective KPI/KRI framework implementation across departments • Successful development and scaling of a high-performing analytics team

📌 Head of Data Analytics (Chennai)
🏢 Nibav Home Lifts
📍 Chennai