Senior BI Engineer - R01569560
Brillio · Bengaluru · onsite · Posted 52d ago
Undisclosed2–4 yrsfulltimeSourced from
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About this role
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. Bachelors 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
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
ssrsDatabase DesignPerformance TuningSSISPythonInformation Technologydata analysisData ModelingSQL ServerRecruitment
About Brillio
Brillio
IT Services & Consulting
3.7k+
employees
2014
12 years old
Dallas, US state of Texas
CU
About
Brillio offers comprehensive digital transformation services, focusing on customer experience, AI, and product engineering to drive business innovation.
Industries
IT Services & ConsultingAnalytics & KPO
Employee ratings
1,318 reviews
3.4/ 5
Culture
3.2
Career growth
2.8
Work-life
3.4
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