We are looking for a Business Intelligence and Data Solutions Engineer to design and implement scalable data solutions using SQL and Power BI. The role involves collaborating with stakeholders to drive data-driven decision-making across the organization.
We are seeking a highly skilled Business Intelligence and Data Solutions Engineer with a strong background in SQL, Power BI, and enterprise data modeling. The ideal candidate will combine technical expertise with business acumen to design, implement, and optimize scalable data solutions that drive decision-making across the organization. Key Responsibilities • SQL Development & Optimization: Design and optimize queries using joins, CTEs, and window functions for high-performance analytics. • Power BI Leadership: Build and manage enterprise-grade dashboards, reports, and semantic models using DAX, Power Query, and advanced data modeling techniques. • Data Modeling & Warehousing: Architect data warehouse solutions using Snowflake, Azure Synapse, and SQL Server to support financial, operational, and executive reporting needs. • Business Insight & Stakeholder Engagement: Partner with finance, operations, and executive leadership to gather requirements, define KPIs, and translate business needs into actionable BI solutions. • Automation & Advanced Analytics: Implement automation pipelines and ML solutions using Azure Data Factory, Power Automate, Python, and R; integrate APIs to streamline reporting and forecasting processes. • Governance & Performance Management: Manage BI governance, security (RLS), and Power BI Premium capacity to ensure reliability, scalability, and compliance. • Team Leadership: Mentor and guide data analysts and engineers, providing technical oversight while driving best practices in BI and ML development. Qualifications • Proven track record delivering enterprise-scale BI solutions across finance, sales, and operations. • Advanced expertise in SQL (Joins, CTEs, window functions, optimization). • Deep proficiency in Power BI (DAX, Power Query, dashboards, semantic modeling, RLS). • Hands-on experience with Snowflake, Azure Synapse, and data warehouse architecture. • Skilled in automation and machine learning using Python, R, Power Automate, and Azure services. • Strong communication skills with experience leading requirements sessions and delivering executive-ready insights. • Experience managing BI platforms, governance frameworks, and ML lifecycle management. • Bachelor’s or Master’s degree in a technical field. Job Type: Full-time Pay: $90,000.00 - $100,000.00 per year Benefits: • 401(k) matching • Dental insurance • Employee assistance program • Health insurance • Health savings account • Life insurance • Paid time off • Professional development assistance • Referral program • Tuition reimbursement • Vision insurance Application Question(s): • Are you a US Resident or US Citizen? Experience: • Power BI: 4 years (Required) • Microsoft SQL Server: 3 years (Preferred) • ETL: 3 years (Preferred) • Azure: 3 years (Preferred) Work Location: In person
The Azure Data Engineer at The Dignify Solutions LLC is responsible for designing and implementing data solutions using Azure technologies. The role requires expertise in data processing languages and ETL tools to facilitate data migration and integration.
The Dignify Solutions, LLC is seeking an Azure Data Engineer with expertise in Azure Data tools and proficiency in PySpark, Python, and SQL. This full-time position is located in Frankfort, Kentucky.
The Lead Specialist, Azure Data Solutions at WWF is responsible for designing and implementing data solutions using Azure services. This role involves collaboration to develop data models, maintain data quality, and create insightful Power BI reports.
We are looking for a Business Intelligence and Data Solutions Engineer to design and implement scalable data solutions using SQL and Power BI. The role involves collaborating with stakeholders to drive data-driven decision-making across the organization.
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The Azure Data Engineer at The Dignify Solutions LLC is responsible for designing and implementing data solutions using Azure technologies. The role requires expertise in data processing languages and ETL tools to facilitate data migration and integration.
The Dignify Solutions, LLC is seeking an Azure Data Engineer with expertise in Azure Data tools and proficiency in PySpark, Python, and SQL. This full-time position is located in Frankfort, Kentucky.
The Lead Specialist, Azure Data Solutions at WWF is responsible for designing and implementing data solutions using Azure services. This role involves collaboration to develop data models, maintain data quality, and create insightful Power BI reports.
We are looking for a Business Intelligence and Data Solutions Engineer to design and implement scalable data solutions using SQL and Power BI. The role involves collaborating with stakeholders to drive data-driven decision-making across the organization.
Ernst & Young is seeking a Data Scientist to manage complex analytical problems and deliver AI and ML solutions for clients. This role involves collaboration with Microsoft Cloud Solution Architects and requires strong technical and leadership skills.
VSG Business Solutions LLC is seeking an experienced Azure Data Engineer to build and optimize data pipelines using Azure technologies. The role requires strong skills in Python, SQL, and data warehousing concepts.
The Azure Data Engineer at The Dignify Solutions LLC is responsible for designing and implementing data solutions using Azure technologies. The role requires expertise in data processing languages and ETL tools to facilitate data migration and integration.
The Dignify Solutions, LLC is seeking an Azure Data Engineer with expertise in Azure Data tools and proficiency in PySpark, Python, and SQL. This full-time position is located in Frankfort, Kentucky.
We are looking for a Business Intelligence and Data Solutions Engineer to design and implement scalable data solutions using SQL and Power BI. The role involves collaborating with stakeholders to drive data-driven decision-making across the organization.