Data Analytics Consultant

• Partner with clients as a technical advisor, helping them evaluate options and make informed decisions on analytics and data platform solutions
• Architect and deliver data environments across public and private cloud ecosystems, ensuring solutions are scalable, secure, and aligned with business goals
• Lead discussions on data governance, quality standards, architecture direction, and long-term analytics strategy for client organizations
• Facilitate discovery meetings, workshops, and executive presentations to gather requirements and translate business needs into practical technical plans
• Explain emerging data technologies and analytics capabilities in a way that highlights measurable value for both business and technical audiences
• Establish effective approaches for collecting, storing, transforming, and analyzing data to support reporting, operational insight, and decision-making
• Create implementation roadmaps and phased delivery plans for analytics initiatives, including assessments of current-state environments and future-state architecture
• Review existing data solutions, identify improvement opportunities, and produce clear documentation that supports design decisions and project execution
• Collaborate with stakeholders ranging from senior executives to engineering teams while contributing across multiple phases of the project lifecycle, including pre-sales support
• Apply analytics expertise to use cases involving risk monitoring, fraud-related analysis, and investigative data interpretation where business needs require it

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
• At least 5 years of experience delivering Microsoft-based reporting, analytics, visualization, and data integration solutions
• Minimum of 5 years of hands-on experience designing and building data platforms, data pipelines, and analytics solutions
• Deep expertise with Microsoft Fabric workloads, including Power BI reporting, Data Factory, Data Engineering, Data Science, Data Warehouse, Database, and Real-Time Intelligence
• Strong knowledge of relational and NoSQL data platforms, modern data lake and lakehouse concepts, and enterprise data architecture patterns
• Demonstrated ability to communicate effectively with executive leadership, business stakeholders, and technical teams in a client-facing environment
• Proficiency with Python and generative AI tools for development, along with experience implementing security features such as row-level security
• Active Microsoft Fabric certification required

Experience with technologies such as Databricks, Snowflake, Azure Synapse Analytics, Azure Data Factory, stream analytics, and dimensional modeling approaches is a plus

• Medical, vision, dental, and life and disability insurance
• 401(k) plan