Business Intelligence Developer

4 - 5 years

15 - 20 Lacs

Posted:10 hours ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Responsibilities:

  • Design, develop, and maintain scalable and reliable

    BI solutions

    , including dashboards, reports, and data visualizations.
  • Gather and translate business requirements into technical specifications.
  • Build and optimize

    ETL (Extract, Transform, Load)

    processes to support data integration from multiple sources.
  • Collaborate with data engineers and analysts to ensure data quality and consistency.
  • Maintain and improve existing BI reports and dashboards based on user feedback and evolving business needs.
  • Perform

    data modeling

    , create logical and physical data models for reporting and analysis.
  • Ensure the security, availability, and performance of BI systems.
  • Troubleshoot and resolve issues related to data accuracy, report performance, and user access.

Must Have Skills _ Power BI, Tableau , SQL Data Visualization

Good to have skills-

  • Experience with Customer Experience teams

  • Background in BFSI (Banking, Financial Services, and Insurance)

Required Qualifications:

  • Bachelors degree in Computer Science, Information Systems, Data Analytics, or a related field.
  • 4 to 5 years of experience as a BI Developer or in a similar data-focused role.
  • Proficient in

    BI tools

    such as

    Power BI, Tableau, Looker

    , or

    QlikView

    .
  • Strong SQL skills and experience working with

    relational databases

    (e.g., SQL Server, PostgreSQL, MySQL).
  • Experience with

    ETL tools

    such as SSIS, Talend, Informatica, or similar.
  • Knowledge of

    data warehousing

    concepts and best practices.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.

Preferred Qualifications:

  • Experience with

    cloud platforms

    such as AWS, Azure, or Google Cloud.
  • Familiarity with scripting languages like

    Python

    or

    R

    for data manipulation.
  • Understanding of Agile or Scrum development methodologies.
  • Experience working with large datasets and performance tuning.

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