Power Bi Developer

Responsibilities:

• Technical 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.

Technical Requirements:

• Experience:

- 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.

• Skills:

- 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).

Non-Technical Requirements:

• Communication:

- Excellent written and verbal communication skills, with the ability to explain

technical concepts to non-technical stakeholders.

- Strong facilitation skills to lead discovery workshops, training sessions, and

presentations.

• Problem Solving and Critical Thinking:

- Analytical mindset with strong problem-solving abilities, capable of

troubleshooting complex issues within Power BI.

- Strategic thinking skills to balance short-term project needs with long-term data

governance goals.

• Team Leadership:

- Experience managing and mentoring a team, with the ability to inspire and guide

less experienced team members.

- Ability to delegate effectively and balance individual contributions with team-

driven results.

• Adaptability:

- Flexible and able to adapt to rapidly changing business needs

and technologies.

- Familiarity with agile processes to quickly respond to new

requirements and optimize development cycles.

- Continuous learning attitude, staying updated on new Power BI features and

industry trends.

• Attention to Detail and Quality:

- Highly detail-oriented, with a strong commitment to data quality, accuracy, and

consistency.

Educational Background:

- Bachelors degree in Computer Science, Data Science, Business Analytics, or a

related field. A master’s degree is a plus.

- Relevant certifications in Power BI, data analytics, or Databricks are preferred.