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About the role
Role Overview: As a Data Analytics Manager, your role will involve defining and executing the organization's data analytics strategy aligned with business objectives. You will provide actionable insights and recommendations to improve revenue, profitability, customer satisfaction, operational efficiency, and business growth. Your responsibilities will also include analyzing sales, CRM, technical services, and operations data to identify trends, revenue leakages, conversion gaps, customer issues, and improvement opportunities. Additionally, you will lead the design and optimization of analytics infrastructure on GCP and BigQuery, oversee ETL processes, data pipelines, automation initiatives, API integrations, and data governance. Partnering closely with the CEO and business leaders, you will support strategic and operational decision-making by establishing data quality standards, reporting governance, and best practices across the organization. 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. Qualification Required: - 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 Role Overview: As a Data Analytics Manager, your role will involve defining and executing the organization's data analytics strategy aligned with business objectives. You will provide actionable insights and recommendations to improve revenue, profitability, customer satisfaction, operational efficiency, and business growth. Your responsibilities will also include analyzing sales, CRM, technical services, and operations data to identify trends, revenue leakages, conversion gaps, customer issues, and improvement opportunities. Additionally, you will lead the design and optimization of analytics infrastructure on GCP and BigQuery, oversee ETL processes, data pipelines, automation initiatives, API integrations, and data governance. Partnering closely with the CEO and business leaders, you will support strategic and operational decision-making by establishing data quality standards, reporting governance, and best practices across the organization. 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, repo