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, 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

- Improved decision-making through timely and actionable business insights