A Business Intelligence developer or BI developer is able to leverage software tools and transform these data to get useful insights from them which will heavily impact business in taking decisions. The Power BI Developer works with product managers, scientists, analysts, and users to understand product vision, scope, priorities, and scientific requirements, then creates reports to summarize and visualize the data.
Leadership not only in the conventional sense, but also within a team we expect people to be leaders. Candidate should elicit leadership qualities such as Innovation, Critical thinking, optimism/positivity, Communication, Time Management, Collaboration, Problem-solving, Acting Independently, Knowledge sharing and Approachable.
Technical Requirements:
- 5+ years of experience in Power BI development, including data modelling, DAX, and Power Query.
- Strong background in data analysis, SQL, and experience with data warehousing and ETL processes.
- Familiarity with Databricks for data storage, cleansing, and warehousing to support Power BI integration.
- Proven track record of delivering large-scale Power BI projects in a corporate or enterprise environment.
- Proficient in DAX, M language (Power Query), and data modelling principles.
- Experience with RLS (Row-Level Security) and deploying Power BI reports across multiple environments.
- Familiarity with agile project management tools and processes to support iterative development.
- Understanding of version control and collaborative development practices (e.g., Git, DevOps).
Responsibilities:
Leadership and Development:
- Lead the development, implementation, and maintenance of Power BI reports, dashboards, and analytical solutions.
- Build and maintain complex data models, including data warehousing, DAX calculations, and optimized Power BI solutions to support scalable insights.
- Design and implement role-based security models and user access within Power BI to protect sensitive data.
- Maintain and optimize Power BI datasets, reports, and workspace structures for efficient access and management.
- Collaborate with data engineering teams using Databricks to source, clean, and load data, ensuring high data quality and alignment with Power BI requirements.
Data Governance and Quality:
- Collaborate with data governance teams to implement consistent data definitions, naming conventions, and standards across Power BI reports and models.
- Ensure data accuracy and reliability by implementing data validation, error handling, and troubleshooting methodologies.
- Create and maintain documentation on data sources, transformations, and business logic in Power BI to support data literacy and transparency across teams.
Stakeholder Engagement and Support:
- Work closely with stakeholders to understand their data needs, translating business requirements into actionable Power BI solutions.
- Act as the main point of contact for Power BI-related projects, leading workshops, demonstrations, and training sessions to upskill business users.
- Provide end-user support, troubleshooting Power BI-related issues, and continuously seek user feedback to enhance reporting solutions.
Project Management and Team Leadership:
- Oversee and manage a team of Power BI developers and analysts, providing guidance, setting standards, and promoting best practices.
- Coordinate with cross-functional teams (e.g., data engineering, IT, and business departments) to align Power BI solutions with broader data initiatives.
- Utilize agile methodologies to manage project workflows, ensuring efficient, iterative development cycles, quick issue resolution, and alignment with evolving business needs.
Responsibilities:
Leadership and Development:
- Lead the development, implementation, and maintenance of Power BI reports, dashboards, and analytical solutions.
- Build and maintain complex data models, including data warehousing, DAX calculations, and optimized Power BI solutions to support scalable insights.
- Design and implement role-based security models and user access within Power BI to protect sensitive data.
- Maintain and optimize Power BI datasets, reports, and workspace structures for efficient access and management.
- Collaborate with data engineering teams using Databricks to source, clean, and load data, ensuring high data quality and alignment with Power BI requirements.
• Data Governance and Quality:
QualificationsGraduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.
Skills Required
- 5+ years of experience in Power BI development, including data modelling, DAX, and Power Query
- Strong background in data analysis, SQL, and experience with data warehousing and ETL processes
- Familiarity with Databricks for data storage, cleansing, and warehousing to support Power BI integration
- Proven track record of delivering large-scale Power BI projects in a corporate or enterprise environment
- Proficient in DAX, M language (Power Query), and data modelling principles
- Experience with RLS (Row-Level Security) and deploying Power BI reports across multiple environments
- Familiarity with agile project management tools and processes to support iterative development
- Understanding of version control and collaborative development practices (e.g., Git, DevOps)
- Graduate in Computer Science, Data Science, or related field
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
