Analytics Consultant

Required Qualifications

• 7+ years of applied experience in analytics, business analysis or comparable positions that handle large/complex data sets, developing metrics, and fostering business partner relationships
• Expert with visualization & data story telling using tools such as PowerBI/Fabric
• Expert in SQL with knowledge of T-SQL and PL/SQL
• Expert in advanced excel techniques and model development
• Applied experience in using data insights to tell a story that leads to business recommendations
• High communication skills are required to review, analyze, and evaluate user needs to effectively meet analysis requirements
• Must possess strong communication/interpersonal skills and leadership skills, and be able to deliver news that may be sensitive, and/or confidential, in a professional manner
• Ability to be a self-starter and take initiative to achieve tangible results from a conceptual strategy
• Ability to quickly adapt to changing priorities and generate innovative solutions
• Applied experience in Agile, SAFe, Scrum or Lean Six Sigma
• Expert in building analytics solutions in a cloud data architecture, experience with Azure Data Solutions including Microsoft Fabric a plus
• Demonstrated understanding of data modeling techniques such as 3rd normal form and star schema
• Demonstrated understanding of digital marketing and operational analytics
• Strong understanding of data management practices, data architecture principles, and data governance process; experience with data governance tools such as Azure Purview

Preferred Qualifications

• Financial services industry experience or other highly regulated industry experience
• Applied experience in Agile, SAFe, Scrum or Lean Six Sigma
• Certifications related to Data Analytics
• Familiar with building analytics solutions in a cloud data architecture, experience with Azure Data Solutions including Microsoft Fabric
• Familiarity with source control tools such as git
• Familiarity with statistical analysis and research techniques
• Proficient in understanding of data mapping and lineage strategies
• Proficient in understanding in conceptual, logical, and physical data design