Senior BI Engineer (Power BI/Looker/Qlik)

Roles and Responsibilities:

• Design and develop interactive dashboards using Looker, PowerBI, or QlikSense and building Semantic layers that visualize business performance metrics and KPIs.
• Knowledge in SAP BO reports would be good to have.
• Generate reports that provide deep insights to support business strategy and decision-making.
• Integrate diverse data sources, including databases, cloud platforms, spreadsheets, and APIs, ensuring data accuracy and availability for reporting.
• Collaborate with business users and translate their requirements into technical solutions, ensuring optimal performance and scalability.
• Develop and maintain data models that support dashboard and report development.
• Optimize data performance by writing efficient queries and applying best practices for data

visualization and reporting.

• Conduct unit testing and performance tuning to ensure that BI solutions are robust, scalable, and meet business needs.
• Provide technical expertise in BI tools and help stakeholders understand and interpret data insights.
• Collaborate with cross-functional teams, including data engineers, analysts, and business users, to deliver complete BI solutions.
• Train and mentor junior BI developers or end-users on Looker, PowerBI, or QlikSense functionalities.
• Manage communication with clients, including gathering feedback and making iterative

improvements to the BI solutions.

Skillset Requirements:

• Strong proficiency in Looker, PowerBI, or QlikSense (at least one tool, with familiarity in others being advantageous).
• Solid understanding of data visualization principles and best practices for user interface design.
• Proficiency in SQL and working knowledge of database concepts.
• Experience in data modeling and developing ETL pipelines to support BI development.
• Advanced data manipulation skills, including writing calculated fields, measures, dimensions, and custom formulas.
• Experience with customizing business intelligence solutions to fit specific organizational needs.
• Hands-on experience integrating data from various sources, including cloud databases, APIs, and spreadsheets.
• Experience in performance optimization and scalability in handling large datasets.
• Familiarity with Row Level Security and data governance best practices.
• Excellent communication skills to interact with stakeholders and clearly present data insights

Soft Skills:

• Attention to detail and precision in report design and data analysis.
• Strong problem-solving abilities and adaptability in changing business environments.
• Excellent written and verbal communication skills.
• Ability to manage multiple projects simultaneously and meet deadlines.