Lead Data Analyst
October 28
Description
• Lead mid to large size and complex consulting projects simultaneously. • Participate in the development and implement long-term client strategies. • Act as the primary point of contact for clients within their workstream. • Effectively communicate with clients, team members, and stakeholders throughout the project lifecycle and keep all parties informed about project progress, challenges, and changes. • Collaborate with clients to understand their business objectives, challenges, and technology requirements. • Provide expert advice on technology solutions and tools that can enhance the client's operations. • Collaborate with third-party vendors and suppliers to source necessary hardware, software, or services. • Provide recommendations for updates, upgrades, or modifications as needed.
Requirements
• Power BI Data Analyst Associate Certified (PL-300) • Fabric Analytics Engineer Associate (DP-600) • 5+ years of experience SQL • 5+ years of experience transforming data to support semantic models using SQL and Power BI • 5+ years of experience designing and developing reporting solutions using Power BI • Candidate should have experience in the following industries and related business process data stories: Distribution, Supply Chain, Manufacturing, Retail/ Consumer Goods • Experience in developing semantic models following star schema best practices for Power BI • Experience with Data Lakehouse architecture and related technologies • Experience in gathering reporting requirements directly from business stakeholders. • Experience designing engaging visualizations and user interfaces for reports to support business process requirements • Experience developing solutions with Azure Data Lake, Azure Synapse Analytics, Azure SQL, Microsoft Fabric and other data sources • Experience with Git version control and Azure Dev Ops • Familiarity with security configuration and security policies within Power BI and Microsoft Fabric • Effective multitasker who can work on a variety of competing tasks at the same time
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