Manager- Enterprise Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager – Enterprise Analytics based in India.
This role offers an opportunity to lead enterprise-level business intelligence and analytics initiatives that support data-driven decision-making. You will oversee the design, development, and delivery of scalable Power BI and Microsoft Fabric solutions across the organization. The position combines technical leadership with team management, BI strategy, stakeholder engagement, and solution delivery. You will help establish robust reporting environments, develop high-quality dashboards, and build reliable data models that translate complex information into actionable insights. The role also involves promoting strong data governance, security, and best practices across analytics projects. You will collaborate with business and technical stakeholders to understand priorities and turn them into effective analytics solutions. This is a strong opportunity for an experienced BI leader to shape enterprise analytics capabilities while guiding a team of skilled professionals.
Accountabilities
Lead the design, development, and delivery of enterprise business intelligence and analytics projects.
Define and execute BI strategies aligned with organizational goals and business decision-making needs.
Manage and mentor a team of BI and analytics professionals, providing technical direction and supporting their development.
Oversee the development of Power BI dashboards, reports, semantic models, and data visualizations.
Design scalable and efficient data models using strong knowledge of SQL, DAX, Power Query (M), and data modeling principles.
Drive the adoption and effective use of Microsoft Power BI and Microsoft Fabric across enterprise reporting initiatives.
Ensure analytics solutions follow appropriate data warehousing, ETL, governance, security, and quality standards.
Collaborate with business leaders, technical teams, and other stakeholders to understand requirements and translate them into practical BI solutions.
Monitor the quality, performance, scalability, and reliability of enterprise reporting and analytics solutions.
Contribute to the evaluation and integration of complementary analytics and data platforms, including Azure Data Factory and Google Looker.
Encourage the use of advanced analytics techniques and explore opportunities to apply Python or R where appropriate.
Communicate project progress, technical considerations, risks, and recommendations clearly to senior stakeholders.
Requirements
10–12+ years of professional experience in business intelligence, analytics, data, or a closely related field.
MCA, M.Sc., IT, or another relevant technical or analytical qualification.
Strong hands-on expertise with Microsoft Power BI Desktop and Power BI Service.
Advanced knowledge of DAX, Power Query (M), SQL, and enterprise data modeling.
Experience leading BI teams and managing the delivery of complex enterprise analytics projects.
Practical understanding of data warehousing concepts, ETL processes, data governance, and data security.
Experience with Azure and/or Microsoft Fabric is highly preferred.
Exposure to Azure Data Factory and Google Looker is an advantage.
Knowledge of Python or R for advanced analytics and data-related use cases is beneficial.
Strong ability to define BI strategies, establish technical standards, and make sound architecture and solution decisions.
Excellent stakeholder management and communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Strong leadership, problem-solving, analytical thinking, and decision-making capabilities.
Ability to manage multiple priorities and deliver high-quality solutions in a fast-paced enterprise environment.
Benefits
Opportunity to lead large-scale enterprise analytics and business intelligence initiatives.
Leadership responsibility across BI strategy, technical delivery, and team development.
Exposure to Microsoft Power BI, Microsoft Fabric, Azure, and modern enterprise data technologies.
Opportunity to work on high-impact analytics solutions that directly support business decision-making.
Collaborative environment with cross-functional business and technology stakeholders.
Scope to influence data governance, reporting standards, security, and analytics best practices.
Opportunities to work with complementary analytics technologies and advanced analytics capabilities.
Professional growth through leadership of complex BI projects and enterprise transformation initiatives.
Opportunity to work in a professionally challenging and rewarding environment.
Inclusive workplace committed to equal opportunity and confidentiality.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Work arrangement
No