Description
The
Manager - Central Analytics Team
will lead a multidisciplinary team responsible in development, managing, and optimizing business analytics solutions across the organization. The incumbent will drive data-driven decision-making by delivering robust analytics, BI dashboards, and open-source applications aligned with business goals. This role demands both strategic oversight and hands-on technical involvement in Power BI, open-source platforms, and enterprise analytics solutions.
About Role Responsibilities
Key Responsibilities :
Leadership & Team Management
- Lead and manage a cross-functional team of 4 - 5 professionals including Power BI developers, data engineers, and open-source application developers.
- Understand the requirement of the stake holders and disseminate the same to the team members in technical and professional development.
- Foster a collaborative and high-performance work environment.
Project & Delivery Management
- Oversee end-to-end analytics project lifecycle from requirement gathering to deployment and maintenance.
- Ensure timely, quality-driven, and efficient delivery of analytics solutions.
- Define project priorities, monitor progress, and manage resource allocation.
Technical & Analytical Expertise
- Well versed with Power BI, and know-how of open-source analytics tools, and other application development frameworks.
- Design and optimize data pipelines, BI dashboards, and analytical models for business insights.
- Ensure high-quality code, scalability, and maintainability of all developed solutions.
Cross-Functional Collaboration
- Partner with functional departments (Sales, Finance, Production, HR, etc.) to understand business requirements and deliver actionable analytics.
- Serve as the key liaison between IT, data teams, and business stakeholders.
- Translate business needs into technical solutions ensuring alignment with organizational strategy.
Governance & Reporting
- Establish data governance, documentation, and standard operating procedures for analytics operations.
- Monitor performance metrics and continuously improve analytics capabilities.
- Present project progress, outcomes, and insights to leadership.
Required Qualifications & Skills
- Bachelors degree in Computer Science, Information Technology, Data Analytics, or related discipline.
- 7 - 10 years of experience in understanding of application development, business intelligence, and analytics management.
- Proven experience leading multi-functional technical teams.
- Strong knowledge of Power BI, SQL, Python, R, and open-source analytics frameworks.
- Hands-on experience in data pipeline design, dashboard creation, and API-based data integration.
- Excellent skills in project planning, stakeholder management, and communication.
- Demonstrated ability to translate business problems into analytical frameworks and technical solutions.
Preferred Qualifications
- Masters degree in Data Science / Business Analytics / Technology Management.
- Exposure to cloud platforms (Azure, AWS, or GCP).
- Exposure to Agile or Scrum methodologies.
- Experience in enterprise-scale analytics or digital transformation projects.
Working Conditions
- Work Location : On-site, Corporate Office, Mumbai.
- Work Schedule : Six Day Week (Day Shift).
- Team Size : 45 direct reports across analytics and development roles.
- Travel : Minimal, as required for project coordination or stakeholder engagement.
Tactical Level Competencies (Managerial)
- Business & Analytical Acumen :
- Understands business processes and KPIs across departments.
- Connects analytics outputs to measurable business outcomes.
- Converts organizational goals into data-driven insights and dashboards.
- Project Management :
- Plans, prioritizes, and manages multiple analytics projects concurrently.
- Balances scope, time, quality, and cost parameters.
- Uses Agile or hybrid methodologies for project execution.
- Stakeholder Collaboration :
- Partners effectively with cross-functional departments (Sales, Finance, HR, Production, etc.).
- Elicits requirements and translates them into actionable analytical deliverables.
- Communicates technical concepts to non-technical stakeholders clearly.
- Hands-on BI & Data Engineering :
- Builds and maintains Power BI dashboards, data models, and DAX calculations.
- Manages data extraction, transformation, and loading (ETL) processes.
- Integrates data from multiple sources through APIs and databases.
(ref:hirist.tech)
