Power BI Analytics Engineer

Summary

Join Quisitive's Data & AI practice as a Power BI Analytics Engineer, contributing to award-winning Microsoft solutions. Work with clients to identify opportunities for Azure data analytics tools, facilitating strategy sessions and engineering data analytics solutions. This role requires 5+ years of data analytics experience, proficiency in Power BI, Azure cloud solutions, and ETL/ELT tools. The ideal candidate possesses strong business acumen, technical skills, and excellent communication abilities. Location is flexible anywhere in the US. Quisitive offers a high-performing culture and resources to excel.

Requirements

• Ability to engage in customer settings and discern client business needs
• Desire to work in a team environment and ability to work across organization functional boundaries
• Excellent presentation, verbal and written communication, and time management skills
• Previous consulting experience
• 5+ years of Data analytics, Modelling, ETL, Processing, Dashboard and PBI front-end visualizations development
• Power BI experience
• Support of large-scale analytical platforms and the modern data warehouse
• Ability to implement cloud-based data ingestion (ETL vs ELT) solutions
• Experience with Azure SQL and cloud data solutions
• Experience with Azure Synapse, Azure Data Lake, Delta Lake, and Lakehouse frameworks
• Experience with Azure Data Factory
• Designing automated processing, data validation, error checks and alerts
• Data Visualization, Auditing and Data Mining
• Semantic modelling and Kimball dimensional model

Responsibilities

• Working with customers to analyze business goals and define technical and functional needs
• Facilitating strategy sessions specific to data analytics, reporting use cases, strategy and analytics architecture design
• Engineering data analytics solutions utilizing a defined technology stack to create business insights that are targeted, accurate, fast, and reliable

Preferred Qualifications

• Experience with other reporting analytics platforms like Tableau
• Experience with Microsoft Office 365 and cloud data solutions
• Experience with big data technologies that can include the following: Azure Cosmos DB, Kubernetes Services, Azure ML, NoSQL, MongoDB, Cassandra, Couchbase etc
• Experience with streaming data frameworks like Spark Streaming or Kafka
• Experience with Fabric
• Databricks certification or experience
• Microsoft certifications in database and business intelligence technologies
• Experience with data science and machine learning, AI platforms tools and techniques
• Experience with Snowflake, Amazon Redshift or Google BigQuery
• Multidimensional and Tabular Cube design, development, performance tuning and troubleshooting
• Familiarity with Scrum, DevOps and/or DataOps