Power BI Developer

5 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Company Description

IENERGY NETZERO® is a world-class EHS and ESG software platform designed to empower organizations with robust, cross-functional digital systems for Environment, Health & Safety, Sustainability, and ESG reporting. Built on decades of domain expertise, the platform integrates real-time data to enable intuitive workflows and powerful system integration capabilities. Trusted by over 15,000 users, including Fortune 500 companies, IENERGY NETZERO® leverages the power of Generative AI for intelligent automation, contextual insights, and rapid ESG disclosures. The suite includes IENERGY AURORA® for remote asset monitoring, IENERGY AVALANCHE® for enterprise risk management, IENERGY VISVA® for AI-driven insights, and IENERGY ICEBERG® for robust data integration.


  • Design, develop, and maintain

    Power BI dashboards and reports

    using advanced visualization techniques.
  • Connect to various data sources (SQL, Excel, APIs, cloud data warehouses, etc.) and ensure

    data accuracy, reliability, and performance optimization

    .
  • Develop and manage

    data models, DAX measures, and calculated columns

    to support analytical needs.
  • Collaborate with cross-functional teams (business, IT, operations, and leadership) to gather requirements and deliver actionable insights.
  • Implement and enforce

    best practices in data visualization, governance, and security

    .
  • Perform data analysis, troubleshoot issues, and optimize Power BI solutions for speed and scalability.
  • Support

    ad-hoc reporting and self-service analytics

    needs of business users.
  • Stay updated with the latest

    Power BI features and Microsoft BI ecosystem

    enhancements


Qualifications

  • Bachelor’s degree in

    Computer Science, Information Technology, Statistics, or a related field

    .
  • Proven experience (2–5 years) in

    Power BI development

    and

    data visualization

    .
  • Strong knowledge of

    DAX, Power Query (M language), and data modeling

    .
  • Proficiency in SQL and experience working with

    relational databases

    .
  • Hands-on experience with

    ETL, data preparation, and data cleansing

    .
  • Understanding of

    data warehousing concepts

    and

    cloud platforms (Azure, AWS, GCP)

    is a plus.
  • Strong analytical mindset, problem-solving skills, and

    attention to detail

    .
  • Excellent communication and stakeholder management skills.

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