Analytics Lead

5 - 10 years

7 - 12 Lacs

Posted:17 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Duties:

Business Engagement Coordination

  • Act as the primary liaison between assigned business functions (e.g., Sales, Service, Operations, Finance) and the Data Analytics team.
  • Understand business objectives and translate them into actionable data requirements.
  • Prioritize and manage incoming requests from business stakeholders, ensuring alignment with organizational goals.
  • Facilitate communication between technical and non-technical stakeholders to ensure clear understanding of analytics deliverables.

Analytics Delivery Technical Execution

  • Lead the end-to-end development of Power BI dashboards, from requirement gathering to deployment and training.
  • Design and develop interactive, user-friendly dashboards and reports in

    Power BI

  • Write and optimize

    SQL queries

    for data extraction, transformation, and reporting.
  • Ensure quality, accuracy, and consistency of analytics outputs.
  • Drive continuous improvement in Power BI dashboard design, usability, and performance.

Team Leadership Collaboration

  • Supervise and mentor a team of Data Analysts; assign work, review outputs, and provide technical guidance.
  • Ensure timely delivery of reporting requirements by managing team workload and capacity.
  • Promote best practices in data visualization, storytelling, and data governance.
Collaborate with other Analytics Leads and the Head of Data Analytics for cross-functional initiatives.

Competencies and Abilities:

Leadership Team Management:

  • Team Leadership

    : Experience leading, mentoring, and reviewing the work of a team of Data Analysts.
  • Task Prioritization

    : Ability to allocate tasks and manage workloads based on sprint goals and functional priorities.
  • Quality Assurance

    : Ensures accuracy, consistency, and reliability of analytics deliverables.

Business Stakeholder Engagement:

  • Stakeholder Management

    : Skilled at engaging with business users, understanding their needs, and translating those into clear technical requirements.
  • Business Acumen

    : Strong understanding of business processes and KPIs across functions like Service, Sales, Finance, and Operations.
  • Communication Skills

    : Ability to explain technical insights in simple, business-friendly language to non-technical stakeholders.

Stakeholder Management

: Skilled at engaging with business users, understanding their needs, and translating those into clear technical requirements.
  • Business Acumen

    : Strong understanding of business processes and KPIs across functions like Service, Sales, Finance, and Operations.
  • Communication Skills

    : Ability to explain technical insights in simple, business-friendly language to non-technical stakeholders.

Project Delivery Management

  • Agile/SCRUM Practices

    : Exposure to Agile methodologies; capable of managing sprint-based delivery cycles and tracking task progress through tools like Jira or Azure DevOps.
  • Ownership Accountability

    : Demonstrates a strong sense of responsibility for timely and quality delivery of analytics solutions.
  • Documentation Governance

    : Maintains structured documentation of data models, dashboard logic, and change history.

Analytical Thinking Problem-Solving

  • Root Cause Analysis

    : Identifies issues in reporting/data accuracy and resolves them proactively.
  • Data-Driven Mindset

    : Uses insights to recommend process improvements and support data-backed decision-making.
  • Attention to Detail

    : Thorough in validating data outputs and ensuring consistency across reports.
Qualifications

Technical Knowledge and Skills:

Must Have:
  • Bachelor s or Master s degree in Computer Science, Engineering, Data Analytics, Business, or a related field.
  • 5+ years of experience in data analysis, reporting, or business intelligence, with at least 2 years in a team or project lead capacity.
  • Strong hands-on experience in Power BI development (including DAX, data modeling, performance tuning).
  • Proficient in SQL for data extraction and transformation.
  • Solid understanding of data structures, ETL concepts, and business process mapping.
  • Excellent communication and stakeholder management skills.
  • Proven ability to lead and coach team members in a fast-paced environment.
  • Strong analytical thinking and attention to detail
  • Ability to manage multiple tasks with minimal supervision
  • Strong understanding of data visualization concepts
Nice to have:
  • Exposure to Agile methodologies and project management tools (e.g., Jira, Azure DevOps).
  • Familiarity with data warehouse concepts
  • Exposure to ERP systems like SAP, Salesforce, or other enterprise systems is preferred.
  • Power BI certifications are a plus.
  • Hands on experience of creating Power Automate workflows would be a plus.
  • Knowledge of data governance, data quality, or data security practices is a plus.

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