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Salary
≈ $17k – $39k per year (Estimated)
Location
In office (India)
Seniority
Staff · 7+ years exp

Confirmed on the employer's own hiring board on Oct 13, 2026. First seen by Alion on Jun 1, 2026. psg.com guest system scores B on the Alion truth index.

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Psg.com, an invited access system RGnet/PSGnet peering policy can be found here. psg.com is a FreeBSD system with Emacs,pine, mutt, exim, ssh, ftp, etc.

Position: Lead Data Analytics - Power BI (E)

Location: Hyderabad

Experience: 7+ years overall experience in Data & Analytics (with 4+ years hands-on Power BI)

Role Overview

We are seeking an experienced Lead Data Analytics - Power BI professional to lead enterprise business intelligence and reporting initiatives. This role combines hands -on technical expertise with team leadership and stakeholder engagement.

The ideal candidate will design scalable Power BI solutions, define data models and reporting standards, mentor a team of analysts, and translate complex business requirements into actionable insights that drive decision-making across the organization.

Key Responsibilities

Leadership & People Management

  • Lead, mentor, and manage a team of data analysts and BI developers, including task prioritization, quality reviews, and skill development.
  • Establish best practices for Power BI development, data modeling, and visualization standards.
  • Conduct design reviews and ensure adherence to performance, scalability, and governance guidelines.

Power BI & Analytics Delivery

  • Own end -to -end Power BI solution delivery, including requirement analysis, data modeling, report/dashboard development, testing, and deployment.
  • Design and optimize semantic models, star schemas, and calculated measures using DAX.
  • Develop interactive dashboards and self-service BI solutions tailored to executive, operational, and functional audiences.
  • Ensure reports and dashboards are optimized for performance, refresh efficiency, and usability.

Data Engineering & Integration

  • Work closely with data engineering teams to design and optimize ETL/ELT processes feeding Power BI datasets.
  • Leverage SQL for data extraction, transformation, validation, and performance tuning.
  • Participate in data architecture discussions involving data warehouses, data lakes, and analytics platforms.
  • Support integration with cloud or on-prem data platforms as needed.

Stakeholder & Business Collaboration

  • Partner with business stakeholders to gather, document, and translate reporting and analytics requirements into technical solutions.
  • Act as a trusted advisor to business leaders by providing insights, trends, and recommendations based on data.
  • Drive adoption of data-driven decision-making across departments.

Data Quality, Governance & Security

  • Ensure high standards for data quality, accuracy, validation, and reconciliation in all analytics outputs.
  • Implement and maintain data governance, security, and access controls within Power BI.
  • Support audit, compliance, and documentation requirements for enterprise reporting.

Required Skills & Experience

  • Strong hands-on expertise in Power BI, including:
    • DAX (advanced calculations, performance optimization)
    • Power Query / M
    • Data modeling and star schema design
  • Strong SQL skills with experience querying and optimizing large datasets.
  • Solid understanding of data warehousing concepts (facts, dimensions, slowly changing dimensions).
  • Experience working with large-scale enterprise data and multiple source systems.
  • Proven ability to lead teams and deliver analytics solutions end-to-
  • Strong analytical thinking, problem-solving, and attention to detail.
  • Excellent communication skills with the ability to explain insights to technical and non-technical stakeholders.

Preferred / Nice -to -Have Qualifications

  • Experience with cloud data platforms (e.g., Azure Synapse, Snowflake, Big Query, or similar).
  • Exposure to data integration or orchestration tools.
  • Experience supporting executive-level and operational dashboards.
  • Power BI, Microsoft, or Data Analytics certifications.
  • Bachelor’s or Master’s degree in Computer Science, Data Analytics, Information Systems, or a related field.
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