BI - Senior Engineer

Company: Iris Software

Location: Noida

Mandatory Skills

- Power BI
- Data Querying Transformation (SQL)
- Data Visualization Libraries (D3.js)
- Data Warehousing (DWH)
- Tableau
- SSRS

Key Responsibilities

- Design scalable BI and reporting solutions using one of the tool Power BI, Tableau, Qlik Sense, QlikView, MicroStrategy, Sisense, Sigma BI, or Dundas.
- Define reporting architecture, dashboard frameworks, and visualization standards aligned with business objectives.
- Lead development of enterprise dashboards, scorecards, and analytical reporting solutions.
- Design and optimize SQL-based reporting and data transformation processes to improve performance and scalability.
- Drive Data Warehousing (DWH) reporting initiatives by defining reporting data structures and consumption strategies.
- Design and optimize enterprise reporting solutions using SSRS, SAP BusinessObjects, Web Intelligence, Information Design Tool, Cognos, or Crystal Reports.
- Define visualization best practices and user experience standards for dashboard and analytics development.
- Develop advanced and customized visualizations using D3.js to address complex analytical requirements.
- Establish data validation, reconciliation, and quality assurance processes to improve reporting accuracy.
- Review reports, dashboards, and analytical solutions to ensure adherence to engineering and visualization standards.
- Troubleshoot complex reporting, performance, and data quality issues through detailed root cause analysis.
- Mentor team members on BI platforms, dashboard development, SQL optimization, and visualization best practices.
- Collaborate with various teams and stakeholders to support end-to-end analytics solution delivery.

Behavioral Competencies





- Demonstrates robust ownership while driving BI and analytics excellence.
- Collaborate effectively with various teams and business stakeholders to ensure smooth delivery.
- Promotes quality-focused development through proactive validation and reporting governance practices.
- Apply strong analytical thinking to evaluate complex reporting and data visualization challenges.
- Demonstrates adaptability while managing evolving business requirements and analytics ecosystems.
- Communicates effectively regarding delivery status, risks, dependencies, and improvement opportunities.
- Maintains high attention to detail across dashboard design, reporting development, testing, and implementation activities.
- Encourages continuous improvement in analytics, visualization, and reporting practices.
- Supports knowledge sharing and mentoring to strengthen team capabilities.
- Balances reporting quality, usability, performance, and business priorities while driving delivery excellence.

Mandatory Competencies

- Data AI - BI Reporting and Data Visualization - Data Querying Transformation (SQL)
- Data AI - BI Reporting and Data Visualization - Data Warehousing (DWH)
- Data AI - BI Reporting and Data Visualization - D3.JS
- Data AI - BI Reporting and Data Visualization - ETL Concepts
- Data AI - BI Reporting and Data Visualization - IBM DataStage
- Data AI - BI Reporting and Data Visualization - Power BI
- Data AI - BI Reporting and Data Visualization - SSRS
- Data AI - BI Reporting and Data Visualization - Tableau
- Data AI - BI Reporting and Data Visualization - Denodo
- Data AI - BI Reporting and Data Visualization - Presto OR Trino (Starburst)
- Database - Oracle - PL/SQL Packages
- Database - PostgreSQL - PostgreSQL
- Beh - Communication and collaboration

📌 BI - Senior Engineer (Noida)
🏢 IRIS SOFTWARE
📍 Noida