Data Analytics Manager

Position: Manager 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 510 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 .