Job Summary
The Elite Job is seeking a skilled and analytical Business Intelligence Developer – Power BI Reporting to join our growing team. The successful candidate will be responsible for designing, developing, maintaining, and optimizing interactive business intelligence dashboards and reporting solutions using Microsoft Power BI. This role is ideal for a professional who enjoys transforming complex datasets into meaningful business insights that support strategic planning, operational efficiency, and data-driven decision-making.
As a Business Intelligence Developer, you will collaborate with business stakeholders, data analysts, database administrators, and technical teams to understand reporting requirements and deliver reliable, accurate, and user-friendly BI solutions. You will work with data from multiple sources, develop efficient data models, create compelling visualizations, and implement reporting standards that improve visibility into business performance.
The ideal candidate should have practical knowledge of Power BI, DAX, Power Query, SQL, data modeling, and dashboard development. Strong problem-solving skills, attention to detail, and the ability to communicate technical findings in clear business language are essential for success in this position.
At The Elite Job, we value innovation, collaboration, continuous learning, and the effective use of technology to solve business challenges. We welcome professionals who are passionate about analytics and eager to contribute to the development of impactful business intelligence solutions.
Key Responsibilities
Power BI Dashboard and Report Development
- Design, develop, and maintain interactive dashboards, reports, scorecards, and business performance visualizations using Microsoft Power BI.
- Translate business requirements into practical reporting solutions that provide meaningful insights for managers, executives, and operational teams.
- Create clear, intuitive, and visually appealing reports that communicate complex information effectively.
- Develop reusable report templates and standardized dashboard layouts to maintain consistency across departments.
- Implement interactive features such as drill-through pages, slicers, filters, tooltips, bookmarks, and dynamic measures.
Data Modeling and Transformation
- Connect Power BI to multiple data sources, including SQL databases, Excel files, cloud platforms, enterprise applications, and approved data services.
- Use Power Query to extract, clean, transform, and prepare data for reporting and analysis.
- Develop efficient data models, including appropriate relationships, dimensions, fact tables, and date tables.
- Apply star-schema modeling principles where appropriate to improve report performance and maintainability.
- Validate source data, investigate inconsistencies, and ensure reporting outputs accurately reflect underlying business information.
DAX and Analytical Calculations
- Develop and optimize DAX measures, calculated columns, and calculated tables where appropriate.
- Create calculations for key performance indicators (KPIs), revenue analysis, operational metrics, trend analysis, growth rates, and comparative reporting.
- Implement time-intelligence calculations for year-to-date, month-to-date, year-over-year, and period-over-period analysis.
- Apply appropriate filter context, row context, and context-transition techniques to produce accurate analytical results.
- Review and optimize DAX expressions to improve calculation efficiency and report responsiveness.
SQL and Data Integration
- Write and optimize SQL queries to retrieve, filter, join, aggregate, and validate data from relational databases.
- Collaborate with data engineers and database administrators to understand data structures, source systems, and refresh requirements.
- Support the integration of data from multiple business applications and reporting environments.
- Investigate data-quality issues and coordinate with relevant teams to resolve discrepancies.
- Document data sources, transformation rules, business logic, and reporting dependencies.
Power BI Service and Deployment
- Publish and manage reports and dashboards in Power BI Service.
- Configure scheduled refreshes, gateways, workspaces, apps, and access permissions as required.
- Implement row-level security (RLS) and other appropriate access controls to protect confidential business information.
- Support development, testing, and production environments using suitable deployment and change-management practices.
- Monitor refresh failures, troubleshoot data connectivity issues, and resolve report-access or performance problems.
Performance Optimization and Quality Assurance
- Monitor dashboard performance and identify opportunities to reduce loading times and improve user experience.
- Use Power BI performance-analysis tools and appropriate optimization techniques to diagnose bottlenecks.
- Conduct data validation, functional testing, and user acceptance testing before releasing reports.
- Investigate discrepancies between dashboards, source systems, and existing business reports.
- Maintain high standards of data accuracy, consistency, reliability, and presentation quality.
Stakeholder Collaboration and Business Support
- Meet with stakeholders to gather reporting requirements, define KPIs, and understand business objectives.
- Work closely with finance, sales, marketing, operations, human resources, and other departments to deliver relevant reporting solutions.
- Present analytical findings and explain trends, exceptions, and performance indicators to non-technical audiences.
- Incorporate user feedback and continuously improve dashboards based on changing business requirements.
- Provide guidance and basic training to report users to encourage effective self-service analytics.
Documentation and Continuous Improvement
- Maintain technical documentation covering datasets, data models, measures, refresh schedules, security settings, and report specifications.
- Establish and follow reporting standards, naming conventions, version-control practices, and development guidelines.
- Stay informed about relevant Power BI features, Microsoft Fabric capabilities, and business intelligence best practices.
- Identify opportunities to automate manual reporting processes and reduce repetitive work.
- Contribute to the continuous improvement of the organizations analytics capabilities and reporting infrastructure.
Required Skills and Qualifications
Educational Qualifications
- Bachelors degree in Computer Science, Information Technology, Data Analytics, Business Intelligence, Statistics, Mathematics, Engineering, or a related field.
- Equivalent practical experience or relevant professional training may be considered.
- Additional certifications in Microsoft Power BI, data analytics, SQL, or business intelligence are advantageous.
Technical Skills
- Strong practical knowledge of Microsoft Power BI Desktop and Power BI Service.
- Proficiency in DAX for developing measures, calculations, and analytical logic.
- Experience with Power Query for data extraction, transformation, and preparation.
- Working knowledge of SQL, including joins, subqueries, aggregations, common table expressions, and query optimization.
- Understanding of relational databases, data warehouses, data relationships, and dimensional modeling.
- Ability to design effective dashboards using appropriate charts, tables, cards, KPIs, and interactive reporting elements.
- Knowledge of data refresh, gateway configuration, workspace management, and report-sharing processes.
- Understanding of row-level security, role-based access, and data confidentiality principles.
- Familiarity with Excel, including PivotTables, lookup functions, charts, and data-cleaning techniques.
- Awareness of data governance, data-quality controls, and reporting documentation practices.
Preferred Skills
- Experience integrating Power BI with Microsoft Excel, SharePoint, Azure services, Microsoft Fabric, or other enterprise data platforms.
- Familiarity with ETL/ELT concepts, data warehouses, and data pipelines.
- Knowledge of Power BI deployment pipelines, source control, and release-management practices.
- Exposure to Python or R for additional analytical tasks is beneficial but not mandatory.
- Understanding of business performance measurement, KPI design, and analytical storytelling.
- Relevant Microsoft certifications, such as the Power BI Data Analyst Associate certification, are desirable.
Professional Qualifications
- Strong analytical thinking and structured problem-solving abilities.
- Excellent attention to detail and commitment to data accuracy.
- Good written and verbal communication skills.
- Ability to manage competing priorities and deliver reports within agreed timelines.
- A collaborative approach to working with technical teams and business stakeholders.
- Willingness to learn new tools, technologies, and reporting methodologies.
Experience
Candidates with the following experience are encouraged to apply:
Entry-level candidates: Applicants with relevant academic projects, internships, practical training, or demonstrable Power BI portfolio projects may be considered for junior opportunities.
Intermediate candidates: Typically, 2–4 years of experience in Power BI development, business intelligence, data analysis, or a related reporting role.
Experienced candidates: Typically, 4 or more years of relevant experience, including responsibility for complex dashboards, data models, performance optimization, and stakeholder-facing reporting solutions.
Relevant experience may include:
- Developing and maintaining Power BI dashboards for business or operational reporting.
- Creating DAX measures and building efficient data models.
- Extracting and transforming data using Power Query and SQL.
- Publishing reports and managing access through Power BI Service.
- Troubleshooting data-refresh failures and report-performance issues.
- Working with business users to define requirements and translate them into reporting solutions.
- Supporting reporting automation, data validation, and quality assurance.
The exact experience requirement will depend on the seniority of the position. Candidates should demonstrate practical skills and an understanding of business intelligence fundamentals.
Working Hours
Employment schedule: Full-time, subject to the agreed employment contract.
Typical working hours: Approximately 40 hours per week, depending on the applicable employment arrangement.
Working days: Generally Monday to Friday, depending on company and client requirements.
Work arrangement: On-site, hybrid, or remote, where the role and business operations permit.
Flexibility: Occasional flexibility may be required to attend meetings across time zones, support scheduled deployments, or resolve critical reporting issues.
Meetings and collaboration: Employees are expected to participate in project discussions, stakeholder meetings, sprint reviews, and reporting demonstrations as required.
The final schedule, time zone, break arrangements, and any overtime expectations will be communicated during the recruitment process.
Knowledge, Skills, and Abilities
Business Intelligence Knowledge
Understanding of the business intelligence development lifecycle, from requirements gathering to deployment and maintenance.
Ability to identify relevant KPIs and convert business questions into measurable analytical outputs.
Knowledge of dashboard usability, visual hierarchy, and effective data storytelling.
Understanding of data governance, privacy, security, and responsible data handling.
Analytical Abilities
Ability to interpret complex datasets and identify meaningful patterns, trends, exceptions, and performance gaps.
Capability to investigate inconsistencies and determine whether issues originate in source data, transformations, calculations, or report design.
Strong logical reasoning and quantitative analysis skills.
Ability to evaluate alternative reporting approaches and recommend practical solutions.
Technical Abilities
Ability to write maintainable DAX formulas and efficient SQL queries.
Capability to design scalable data models and reusable reporting components.
Ability to troubleshoot connectivity, refresh, access, and performance issues.
Confidence working with structured data and multiple information sources.
Ability to test, document, and maintain BI solutions throughout their lifecycle.
Communication and Teamwork
Ability to explain technical concepts and analytical findings to users with different levels of technical knowledge.
Strong listening skills when gathering requirements and clarifying business needs.
Ability to work collaboratively with analysts, developers, engineers, managers, and end users.
Willingness to receive feedback and incorporate stakeholder recommendations.
Personal Attributes
Self-motivated, organized, and proactive.
Detail-oriented with a strong commitment to accuracy.
Adaptable when business priorities or reporting requirements change.
Comfortable learning new tools and improving existing processes.
Professional in handling confidential information and communicating sensitive findings.
Focused on delivering practical, measurable business value through data.
Benefits
- Competitive salary aligned with experience, technical expertise, and role responsibilities.
- Opportunities to work on business intelligence, reporting automation, and data analytics projects.
- Access to professional development resources and relevant technical training.
- Opportunities to strengthen Power BI, DAX, SQL, data modeling, and cloud analytics skills.
- Potential remote or hybrid working arrangements, where available for the position.
- Collaborative work with cross-functional teams and business stakeholders.
- Opportunities to contribute ideas for improving reporting processes and analytical capabilities.
- Career development opportunities in business intelligence, data analytics, data engineering, and BI architecture.
- Recognition for quality work, continuous improvement, and successful project delivery.
- Exposure to industry-standard tools and modern reporting practices.
- Specific benefits, allowances, insurance, paid leave, equipment provision, and other employment terms will depend on the applicable company policy, location, and employment contract. These benefits should be confirmed during the hiring process.
Why Join The Elite Job?
Joining The Elite Job offers an opportunity to contribute to meaningful business intelligence initiatives while developing valuable technical and professional skills.
Make an Impact Through Data: Help transform raw business data into clear insights that support better decisions, improve performance visibility, and identify opportunities for growth.
Develop Your Technical Expertise: Build on your Power BI, DAX, SQL, Power Query, and data-modeling capabilities while working on practical reporting challenges.
Collaborate Across Business Functions: Work with stakeholders from different departments to understand their needs and deliver solutions that address real business problems.
Support Innovation and Automation: Contribute to the improvement of reporting workflows, reduction of manual tasks, and development of more efficient analytics processes.
Grow Your Career: Develop experience that can support progression into senior BI development, analytics consulting, BI architecture, data engineering, or analytics leadership.
Be Part of a Learning-Oriented Environment: Share knowledge, explore new approaches, and continuously improve your technical and business understanding.
We are looking for professionals who are curious about data, committed to quality, and motivated to turn information into actionable business insights. If you enjoy solving analytical challenges and creating reports that make a difference, we encourage you to apply.