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

- Robust 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

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