Lead - Business Reporting (Power BI) [T500-30149]

H.E. Services India; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

H.E. Services India in Hyderabad seeks a Senior Data Analytics Leader to drive enterprise analytics initiatives across Holman Automotive's organization.

You will lead design, development, and deployment of analytics solutions, partnering with stakeholders to translate business needs into scalable BI capabilities. Responsibilities include overseeing large-scale analyses, mentoring analytics professionals, and advancing AI-enabled analytics, governance, and CI/CD practices to ensure data-driven

Qualifications

• 10+ years of experience in data analytics or BI leadership.
• Proven success leading enterprise analytics initiatives.
• Experience with Power BI, Azure, and data modeling.
• Strong stakeholder management and communication skills.

Responsibilities

• Lead design, development, and delivery of enterprise-scale analytics solutions.
• Oversee complex data analyses transforming datasets into business insights.
• Lead analytics programs from ideation to deployment and adoption.
• Coach teams on Power BI, data modeling, security, and analytics engineering.

Skills

Power BI

Azure

SQL

Data analytics

Stakeholder management

Leadership

Mentoring

Analytics strategy

Tools

Git

CI/CD

DevOps

Job description

A legacy of excellence, driving innovation and personalized service to create exceptional customer experiences.

About H.E. Services:

At H.E. Services vibrant tech Center in Hyderabad, you’ll have the opportunity to contribute to technology innovation for Holman Automotive, a leading American fleet management and automotive services company. Our goal is to continue investing in people, processes, and facilities to ensure expansion in a way that allows us to support our customers and develop new tech solutions.

Holman has come a long way during its first 100 years in business. The automotive markets Holman serves include fleet management and leasing; vehicle fabrication and up fitting; component manufacturing and productivity solutions; powertrain distribution and logistics services; commercial and personal insurance and risk management; and retail automotive sales as one of the largest privately owned dealership groups in the United States.

Join us and be part of a team that's transforming the way Holman operates, creating a more efficient, data-driven, and customer-centric future.

JOB INPUTS:

• Lead the design, development, and delivery of enterprise-scale analytics solutions that enable data-driven decision making across the organization.
• Perform and oversee complex data analyses, transforming large and diverse data sets into actionable business insights.
• Lead large-scale analytics programs and projects from ideation through deployment and adoption.
• Serve as the senior escalation point for complex analytical, reporting, and data modeling challenges.
• Engage with business stakeholders to understand strategic objectives and translate requirements into scalable analytics solutions.
• Liaise with business partners and primary stakeholders to prioritize requests, coordinate delivery timelines, and manage expectations.
• Provide technical coaching in advanced Power BI development, enterprise data modeling, security implementation, report optimization, and analytics engineering practices.
• Conduct knowledge-sharing sessions, technical workshops, and hands-on training to elevate team capabilities.
• Create a culture of continuous learning, innovation, accountability, and technical excellence.
• Champion the responsible adoption of Artificial Intelligence and Generative AI across analytics workflows.
• Identify business processes and analytical use cases that can be enhanced through automation, AI agents, machine learning, and intelligent decision support solutions.
• Evaluate emerging AI capabilities and translate them into practical, business-focused opportunities.
• Promote trusted AI usage by balancing innovation with risk management and business value realization.
• Encourage experimentation and learning to build organizational readiness for AI-powered analytics.
• Establish standards for testing, validation, reconciliation, and performance monitoring.
• Identify opportunities for automation, standardization, and process improvements to increase efficiency and scalability.
• Continuously improve analytics practices by incorporating industry best practices and emerging technologies.

Analytics Leadership experience:

• 10+ years of experience in data analytics, business intelligence, or decision support functions.
• Proven success leading enterprise analytics initiatives that deliver measurable business value.
• Experience driving analytics strategy and organizational data maturity.
• Demonstrated ability to establish BI governance frameworks and enterprise reporting standards.

Project Management:

• 8+ years of demonstrated experience in leading and managing data projects.
• Proven ability to coordinate with multiple stakeholders and ensure project success.

Technical Proficiency:

• 8+ years of advanced Power BI experience, including enterprise-scale deployments.
• 8+ years of experience designing semantic models, composite models, security frameworks, and embedded analytics solutions.
• 8-10 years of experience in SQL for complex database queries and data extraction.
• 8+ years of experience with Azure services for data storage, processing, and analysis.
• 5+ years of experience leading, mentoring, and developing analytics professionals.
• Demonstrated ability to build high-performing, technically skilled analytics teams.
• Experience leading cross-functional teams in complex enterprise environments.

Quality Assurance:

• 5+ years of experience utilizing Git-based source control and deployment practices.
• Proven experience implementing analytics CI/CD, DevOps processes, and release governance.
• Experience performing GIT peer reviews, managing pull requests, and resolving deployment conflicts.

Innovation and Improvement:

• Experience identifying and implementing AI-enabled business solutions and analytics automation opportunities.
• Demonstrated understanding of Generative AI, AI agents, machine learning applications, and responsible AI implementation.
• Experience evaluating business processes for AI transformation and automation opportunities.
• Efficiently allocate resources, including personnel, tools, and technologies, to support various projects.
• Develop and execute enterprise analytics roadmaps aligned with organizational priorities.
• Allocate resources effectively across multiple concurrent projects and workstreams. Balance operational demands with strategic analytics investments.
• Establish analytics governance, security standards, and operational controls.
• Manage project risks, dependencies, and stakeholder expectations.
• Develop frameworks for analytics lifecycle management, deployment governance, and operational excellence.
• Drive adoption of modern analytics platforms, AI technologies, and automation capabilities.
• Build a culture that emphasizes innovation, continuous improvement, and trusted decision-making.
• Conduct regular reviews and audits of analytical outputs. Identify opportunities for process improvements and implement best practices in data analysis.
• Identify potential risks in data projects and develop mitigation strategies. Monitor and manage risks throughout the project lifecycle.
• Communicate complex analytical findings and technical concepts to both technical and non-technical audiences.
• Influence senior leadership through data-driven recommendations and business insights.
• Facilitate discussions between business, technology, data engineering, and analytics teams.
• Champion analytics and AI adoption across the organization.
• Present executive-level dashboards, strategic recommendations, and transformation opportunities.
• Build strong, trusted relationships with key stakeholders and business leaders.
• Lead difficult conversations related to priorities, scope, governance, and technical standards.
• Promote a culture of collaboration, accountability, and continuous learning.
• Advocate for Responsible AI, data governance, and ethical use of data and automation technologies.
• Inspire teams to embrace emerging technologies while maintaining focus on business value, quality, security, and trust.