Head Of Data Analytics

Key Responsibilities:

• Define and execute the organizations 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
• Strong 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