Business Analytics Engineer
Job Description:
• Serve as SME for Power BI, Power Query, DAX, and the Microsoft Power Platform.
• Build and maintain Power BI datasets, dataflows, ETL processes, dashboards, and optimized data models.
• Administer Dataflows, manage refresh schedules, and resolve performance or dependency issues.
• Leverage Power Automate and Power Apps for workflow automation and lightweight solutions.
• Integrate Power Platform tools with Snowflake, Databricks, and SQL-based systems.
• Partner with stakeholders to gather requirements and translate business needs into scalable data solutions.
• Analyze data to deliver trends, insights, and actionable recommendations through effective storytelling.
• Ensure data quality, governance, and continuous improvement across reporting and analytics processes.
Requirements:
• Typically requires a University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
• 5 years in BI/analytics delivering end-to-end solutions.
• 5+ years with Power BI, Power Query (M), DAX, and data modeling.
• 5+ years with SQL, Power Automate, Power Apps, Dataflows administration.
• Proven ability to translate business needs into scalable solutions, and present insights to cross-functional stakeholders.
• Strong Python experience for analytics/data science, including Pandas, Sklearn, and Pyspark
• Experience working in Agile environments.
• Exposure to enterprise or cloud-based analytics platforms.
• Familiar with common IT infrastructure concepts and systems
• Working knowledge: Snowflake, Databricks, Microsoft Fabric, Purview, Copilot M365/Copilot Studio.
• Proven ability to build ETL/ELT pipelines.
Benefits:
• Parental (including paternal) leave
• Flexible work schedules
• Achievement awards
• Educational assistance
• Child/adult backup care
• Medical, dental, vision, life insurance
• Short-term disability
• Long-term disability
• 401(k) match
• Flexible spending accounts
• Employee assistance program
• Employee Scholar Program
• Paid time off
• Holidays
Apply Now
Apply Now
• Serve as SME for Power BI, Power Query, DAX, and the Microsoft Power Platform.
• Build and maintain Power BI datasets, dataflows, ETL processes, dashboards, and optimized data models.
• Administer Dataflows, manage refresh schedules, and resolve performance or dependency issues.
• Leverage Power Automate and Power Apps for workflow automation and lightweight solutions.
• Integrate Power Platform tools with Snowflake, Databricks, and SQL-based systems.
• Partner with stakeholders to gather requirements and translate business needs into scalable data solutions.
• Analyze data to deliver trends, insights, and actionable recommendations through effective storytelling.
• Ensure data quality, governance, and continuous improvement across reporting and analytics processes.
Requirements:
• Typically requires a University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
• 5 years in BI/analytics delivering end-to-end solutions.
• 5+ years with Power BI, Power Query (M), DAX, and data modeling.
• 5+ years with SQL, Power Automate, Power Apps, Dataflows administration.
• Proven ability to translate business needs into scalable solutions, and present insights to cross-functional stakeholders.
• Strong Python experience for analytics/data science, including Pandas, Sklearn, and Pyspark
• Experience working in Agile environments.
• Exposure to enterprise or cloud-based analytics platforms.
• Familiar with common IT infrastructure concepts and systems
• Working knowledge: Snowflake, Databricks, Microsoft Fabric, Purview, Copilot M365/Copilot Studio.
• Proven ability to build ETL/ELT pipelines.
Benefits:
• Parental (including paternal) leave
• Flexible work schedules
• Achievement awards
• Educational assistance
• Child/adult backup care
• Medical, dental, vision, life insurance
• Short-term disability
• Long-term disability
• 401(k) match
• Flexible spending accounts
• Employee assistance program
• Employee Scholar Program
• Paid time off
• Holidays
Apply Now
Apply Now