BI Developer

6 days ago

Bengaluru, Karnataka, India CodeZio Full time ₹ 15,00,000 - ₹ 25,00,000 per year

Job Description : BI Developer (Power BI/Tableau/Qlik)

Position : BI Developer

Experience : 3-8 Years

Location : Bangalore / Noida

Employment Type : Full-Time

Notice Period : Immediate to 15 Days

About the Role :

We are looking for an experienced BI Developer with hands-on expertise in Power BI, Tableau, or Qlik to join our analytics team. The ideal candidate will design, develop, and optimize BI solutions that transform raw data into meaningful business insights, driving informed decision-making across the organization.

Key Responsibilities :

- Design, develop, and maintain interactive dashboards, reports, and visualizations using Power BI/Tableau/Qlik.

- Collaborate with stakeholders to gather and analyze business requirements and translate them into technical solutions.

- Work with large datasets, ensuring data accuracy, quality, and performance optimization.

- Develop and maintain data models, ETL processes, and queries to support reporting needs.

- Implement row-level security, data governance, and performance tuning in BI platforms.

- Provide ad-hoc analysis and insights to support strategic and operational decisions.

- Stay updated with emerging BI technologies, tools, and best practices.

Required Skills & Qualifications :

- 3-8 years of proven experience in BI development and data visualization.

- Strong expertise in Power BI / Tableau / Qlik (at least one is mandatory, cross-platform experience preferred).

- Solid understanding of SQL, DAX, MDX, ETL concepts, and data warehousing.

- Experience in data modeling, performance tuning, and optimization of BI reports/dashboards.

- Good knowledge of database systems (SQL Server, Oracle, MySQL, Snowflake, Redshift, etc.).

- Strong problem-solving, analytical thinking, and communication skills.

- Ability to work independently as well as in cross-functional teams.

Good to Have :

- Experience with cloud BI platforms (Azure, AWS, GCP).

- Exposure to Python/R for data analysis.

- Knowledge of big data technologies (Hadoop, Spark).

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