The Role
Designs, develops, and maintains Power BI dashboards, reports, and KPI scorecards. Builds Analysis Services models, integrates diverse data sources, develops DAX calculations, and implements row-level security. Translates business requirements into scalable analytics solutions, optimizes query and dashboard performance, and collaborates with UX/UI teams and stakeholders to deliver actionable insights. The role also supports data modeling, ETL, governance, and tailored client analytics solutions.
Summary Generated by Built In
Senior BI Engineer
Primary Skills
- Data Analysis, SQL, Python, Exploratory Data Analysis, Data Storytelling & Insight Generation, Excel VBA, Insight Generation, Communication & Articulation: Vocal & Written
Specialization
- BI Foundation: Business Consultant
Job requirements
- Experience Range: 2 to 4 years of hands-on experience in Power BI, SQL, and PowerApps, including practical exposure to BI engineering projects Key Responsibilities: 1. Design, develop, and maintain Power BI reports, dashboards, and KPI scorecards to deliver actionable insights for business stakeholders 2. Build and optimize Analysis Services reporting models, ensuring compatibility with data warehouse standards and supporting both tabular and multidimensional models 3. Connect to diverse data sources, import and transform data for business intelligence, and implement advanced calculations using DAX to enhance reporting accuracy 4. Architect reporting solutions based on client requirements, translating wireframes and requirement documents into scalable analytics solutions 5. Implement and manage row-level security, integrating analytics with data governance, quality, and security platforms to ensure compliance and data protection 6. Optimize dashboard and query performance to efficiently handle large and multiple datasets, ensuring timely delivery of analytics outputs 7. Collaborate with UX/UI teams to design impactful visualizations, leveraging Power BI product capabilities for enhanced user experience 8. Engage with internal and external stakeholders to understand business challenges, deliver tailored analytics solutions, and ensure high-quality client outputs Required Skills: 1. Power BI Desktop, Power BI Premium, Power BI Server, and Power BI Services 2. SQL and query performance tuning 3. DAX for advanced calculations 4. Microsoft Business Intelligence Stack (SSAS, SSRS, SSIS) 5. Data modeling for BI and ETL development 6. Row-level security implementation in Power BI 7. Connecting, importing, and transforming data from multiple sources 8. Multidimensional and relational database design 9. PowerApps and Power Automate Preferred Skills: 1. Experience in supply chain domain analytics 2. Azure Synapse and MS SQL DB 3. Data extraction, ingestion, and processing of large distributed datasets 4. Leading large-scale data warehousing and analytics projects 5. Python for data analysis and exploratory data analysis Desired Qualifications: 1. Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related discipline 2. Microsoft Certified: Data Analyst Associate (Power BI) 3. Microsoft Certified: Azure Data Engineer Associate or equivalent certification in SQL/Business Intelligence
Skills Required
- 2 to 4 years of hands-on experience with Power BI, SQL, and PowerApps
- Experience with Power BI Desktop, Power BI Premium, Power BI Server, and Power BI Services
- SQL and query performance tuning
- DAX for advanced calculations
- Experience with the Microsoft Business Intelligence Stack, including SSAS, SSRS, and SSIS
- Data modeling for business intelligence and ETL development
- Row-level security implementation in Power BI
- Connecting, importing, and transforming data from multiple sources
- Multidimensional and relational database design
- PowerApps and Power Automate experience
- Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related discipline
- Microsoft Certified: Data Analyst Associate certification
- Microsoft Certified: Azure Data Engineer Associate or equivalent SQL/Business Intelligence certification
- Experience in supply chain domain analytics
- Experience with Azure Synapse and Microsoft SQL databases
- Experience extracting, ingesting, and processing large distributed datasets
- Experience leading large-scale data warehousing and analytics projects
- Python for data analysis and exploratory data analysis
Brillio Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Brillio and has not been reviewed or approved by Brillio.
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Healthcare Strength — Healthcare is considered comprehensive, including medical coverage for employees and dependents alongside life, disability, and accidental death protections. Feedback suggests these protections are a core strength of the package.
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Leave & Time Off Breadth — Time-off options include paid leave and parental leave, with flexible or ‘flexible PTO’ approaches cited in some contexts. Feedback suggests this breadth helps support work-life balance when team norms permit usage.
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Wellbeing & Lifestyle Benefits — Wellbeing offerings span counseling, financial-management sessions, fitness programs, and travel insurance, plus region-specific extras like discounted IT hardware and work-from-home essentials. Feedback suggests these add-ons enhance perceived value beyond core insurance.
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The Company
What We Do
Brillio is the leader in global digital business transformation, applying technology with a human touch. We help businesses define internal and external transformation objectives, and translate those objectives into actionable market strategies using proprietary technologies. With 2600+ experts and 13 offices worldwide, Brillio is the ideal partner for enterprises that want to quickly increase their core business productivity, and achieve a competitive edge, with the latest digital solutions.
