Mani Jewel - Central Analytical Manager

7 - 10 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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)

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