Business Analyst

4 weeks ago

Greater Delhi Area, India Jindal Limited Full time

Job Summary

We are seeking a seasoned analytics leader to head enterprise analytics initiatives, with a focus on delivering actionable insights, enabling self-service BI, and scaling data science capabilities across the organization. The ideal candidate will bring deep expertise in Power BI, SQL, Microsoft Fabric, ELT pipelines, and applied data science, along with a proven record of driving value through data-driven decision-making.

Key Responsibilities

Strategic Leadership

  • Define and execute enterprise analytics strategy aligned with business goals.
  • Champion a data-driven culture across departments, enabling effective decision-making through analytics.
  • Collaborate with cross-functional leadership to prioritize analytical initiatives and drive adoption.

Business Intelligence (Power BI)

  • Lead the design, development, and optimization of enterprise-grade dashboards and reporting systems using Power BI.
  • Establish Power BI governance including dataset management, workspace structuring, DAX standards, and row-level security (RLS).
  • Mentor and develop Power BI developers and analysts across teams.
  • Drive adoption of Microsoft Fabric, including integration of OneLake, Lakehouse, Data Factory, and Delta Lake for seamless data experiences.
  • Manage and optimize Power BI/Fabric workspaces, datasets, and capacity, ensuring best practices in performance, security, and usability.

Data Science & Advanced Analytics

  • Drive analytical use cases using Python and machine learning techniques to solve complex business problems.
  • Collaborate with business stakeholders to develop and track KPIs, performance models, and hypothesis testing frameworks.

Data Engineering & ELT

  • Oversee data integration, transformation, and modeling efforts using ELT pipelines and modern data stack tools.
  • Ensure high-quality, well-documented, and timely data pipelines feeding into analytics platforms.
  • Work with IT/Data Engineering to define data lake and data warehouse architectures.

SQL & Data Operations

  • Review and optimize SQL queries for performance across large datasets.
  • Promote best practices in query writing, indexing, and data retrieval across analytics teams.
  • Ensure clean, validated, and trusted data layers for reporting and modeling.

Governance, Compliance & Performance

  • Establish best practices for data quality, security, and compliance with regulatory requirements (e.g., GDPR, ISO).
  • Monitor usage analytics and platform performance, driving improvements and cost optimization.
  • Develop training plans and guidelines for democratizing analytics access.

Qualifications & Skills

Required:

  • 15+ years of progressive experience in analytics, business intelligence, and data science.
  • Expertise in Power BI, including DAX, Power Query (M), and Power BI Service.
  • Strong SQL proficiency, with ability to query, transform, and validate large datasets.
  • Working knowledge of data pipelines, ETL/ELT using tools like Azure Data Factory, SSIS, or DBT.
  • Proven experience in data science, machine learning, and statistical modeling (using Python, R).
  • Excellent stakeholder engagement, business acumen, and communication skills.

Preferred:

  • Experience with cloud platforms (Azure, AWS, GCP), especially Azure Synapse, Azure Data Lake, and Power Platform.
  • Knowledge of CI/CD pipelines for BI or data science projects.
  • Prior experience in manufacturing, FMCG, financial services, or retail analytics is a plus.
  • Certifications: Microsoft Power BI, Azure Data Engineer/Scientist, or equivalent.

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