Senior Data Analytics Specialist
2 weeks ago
• 6 years of experience in data engineering, analytics, or automation roles.
• Proven expertise in Microsoft Fabric (Lakehouse, Data Activator, PySpark notebooks).
• Strong proficiency in Power BI, DAX, Power Query (M), and data visualization.
• Hands-on experience with Azure services: Synapse, SQL DB, Key Vault, Logic Apps, Event Hub, ADX, Log Analytics.
• Experience with Power Platform: Power Apps, Power Automate, Dataverse, Copilot Studio.
• Familiarity with GitHub Copilot and AI-assisted development.
• Strong understanding of dimensional data modelling (Kimball, Inmon).
• Excellent communication and stakeholder engagement skills. Preferred Qualifications:
• Certifications: DP-700, DP-203, AZ-900, Certified ScrumMaster.
• Experience in regulated or security-focused environments.
• Background in Java or Python development.
• Knowledge of AI/ML concepts and their application in analytics. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form. Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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