Data Analytics Manager

Nibav Lifts; Chennai District; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

Nibav Lifts in Chennai, India is seeking a Manager Data Analytics to define and execute the organization's data analytics strategy, aligning with business objectives and driving growth. You will lead analytics across sales, CRM, operations and services, build executive dashboards and KPI scorecards, and partner with the CEO to enable strategic decision-making.

The role requires deep GCP/BigQuery expertise and a track record of leading analytics teams.

Qualifications

• Requires deep expertise in Google Cloud Platform (GCP) and BigQuery architecture.
• Experience in building dashboards and BI visualizations for executive audiences.
• Strong background in Sales/CRM/Operational analytics and data-driven decision making.

Responsibilities

• Define and execute the organization's data analytics strategy aligned with business objectives.
• Provide actionable insights to improve revenue, profitability, customer satisfaction, and operational efficiency.
• Analyze data across sales, CRM, services, and operations to identify trends and improvement opportunities.
• Develop executive dashboards, KPI/KRI scorecards, and performance monitoring frameworks.
• Lead analytics infrastructure design on GCP and BigQuery; oversee ETL/data pipelines and governance.

Skills

GCP & BigQuery

Dashboard development

Sales analytics

CRM analytics

Operational analytics

Data visualization

ETL/ELT

APIs

Data governance

Team leadership

Cross-functional collaboration

Business acumen

Tools

Salesforce

LeadSquared

Looker

ERP systems

Job description

Position: Manager Data Analytics

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 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 warehousingAdvanced 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