Product Analyst managing product portfolio for one of the largest jewelry companies in Brazil. Overseeing product lifecycle and market analysis to drive business growth.
About the role
- Senior Technical Design Specialist managing Microsoft Fabric environment for KONE's digital solutions. Leading troubleshooting, optimization, and collaboration with data engineering teams to enhance BI capabilities.
Responsibilities
- Administrate and manage the Microsoft Fabric environment, including user access, security configurations including secrets inside Azure Key Vault, workspace structures, and data governance
- Configure and manage Fabric capacities, workspaces, and environments to ensure high performance, cost efficiency, and reliability
- Implement and manage Fabric gateways for data refreshes, live queries, and hybrid data connectivity
- Enforce governance policies, naming conventions, workspace standards, and data architecture guidelines across Fabric
- Ensure compliance with organizational security policies and industry standards, addressing audit and data privacy requirements
- Troubleshoot and resolve issues related to Power BI reports, data sources, dataflows, semantic models, refresh failures, and connectivity
- Monitor platform performance and proactively optimize capacity usage, refresh schedules, dataset performance, and Direct Lake configurations
- Demonstrate proficiency with Power BI data models, DAX calculations, Power Query transformations, and Direct Lake mode
- Possess a strong understanding of deployment pipelines in CI/CD environments within Microsoft Fabric & GitHub, ensuring smooth and reliable release cycles for BI assets
- Collaborate with DevOps and data engineering teams to integrate BI workflows into enterprise deployment strategies
- Collaborate with the enterprise data platform team to design, build, and maintain end-to-end data pipelines with robust troubleshooting capabilities
- Coordinate with cross-functional teams (data engineering, operations, and product management) to ensure cohesive solution delivery
- Exhibit mastery in using Fabric shortcuts and advanced modelling techniques to streamline development workflows
- Stay up-to-date with the latest Fabric features, design frameworks, usability standards, and BI trends
- Drive continuous improvement of platform practices, deployment standards, governance, and automation
- Recommend and implement enhancements to increase scalability, adoption, and developer efficiency.
Requirements
- Bachelor's degree in Computer Science, Information Technology, or a related field
- Familiarity with Agile development methodologies and modern data architectural principles
- Strong knowledge of Microsoft Fabric including Power BI, Onelake, Data Factory and Data Engineering
- Hands on experience with Microsoft Power BI, Fabric, DBT and Proficiency with version control systems (e.g., Git)
- Strong analytical, problem-solving, and communication skills
- Ability to manage multiple projects and priorities in a fast-paced environment
- Proficiency in scripting languages such as SQL, DAX, Python and Power Query
- Proven ability to lead technical initiatives and mentor development teams
- Actively exploring and applying AI-assisted capabilities to improve productivity in BI solution development and delivery
- Working in virtual matrix team with outstanding emotional intelligence skills, able to motivate team, remove the impediment, build excellent collaboration and psychological safe environment, champion for teamwork
- Self-motivated and proactive with a passion for exploring and mastering new BI technologies
- Preferred Certifications: DP-600: Microsoft Fabric Analytics Engineer, DP-700 Microsoft Data Engineer Associate & DP-900: Microsoft Azure Data Fundamentals.
Benefits
- Employee engagement is a key focus area for us
- We encourage participation and the sharing of information and ideas
- Sustainability is an integral part of our culture and daily practice
- We follow ethical business practices
- We develop a culture of working together where co-workers trust and respect each other
- Good performance is recognized.
Job title
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Experience level
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