Azure Analytics Consultant
Location: Cincinnati, OH
Employment Type: Full Time
About KiZAN
We make technology personal!
KiZAN is an Industry leading Microsoft Professional Services and Managed Services Provider supporting Regional, National and Global clients. We personalize technology by sparking passion, fueling purpose, and building connections.
Here at KiZAN, we are one team, we support each other, and take the initiative to solve problems. We are fully committed to the direction chosen and always support our Mission. Being a part of KiZAN means that we win together, we create an inclusive atmosphere where everyone feels accepted, a sense of purpose, and we embrace collaboration.
KiZAN Technologies has an immediate need for an exceptional individual to join our family as a Azure Analytics Consultant. The ideal candidate will have strong communication skills, is a true team player with a commitment to success, has leadership
skills, and will be able to thrive in a fast paced, rapidly-changing environment.
Job Description:
The Azure Analytics Consultant specializing in Fabric Engineering and Data Science (ML) focuses on designing and implementing data solutions using Azure Data Factory, Synapse, and Azure ML. They enable businesses to derive insights and leverage machine learning models for predictive analytics and decision-making. The role involves developing data pipelines, building and deploying ML models, and ensuring seamless integration across Azure’s data ecosystem.
Key Responsibilities:
- Design and implement scalable data pipelines using Azure Data Factory and Synapse Analytics.
- Build, train, and deploy machine learning models using Azure ML.
- Optimize data workflows and ML solutions for performance and accuracy.
- Collaborate with stakeholders to understand business requirements and deliver data-driven insights.
- Provide technical guidance on cloud-based data and ML strategies.
Requirements:
- Bachelor's degree or equivalent work experience.
- Azure Services: 5+ years proficiency in Azure Data Factory, Synapse Analytics, and Azure ML.
- Data Science & ML: 5+ years strong knowledge of Python or R and frameworks like TensorFlow, Scikit-learn, or PyTorch.
- Data Engineering: Experience with ETL pipelines, data transformation, and real-time/batch processing.
- Cloud Integration: Familiarity with integrating Azure services to enable end-to-end workflows.
- Problem Solving: Ability to diagnose and optimize data and model performance.
- Communication: Strong skills to present technical insights to business stakeholders.
- Ability to travel, overnight up to 25%
- Ability to travel independently to client sites; if by car, a valid driver's license or reliable method of transportation is required
- Authorization to work in the U.S. without sponsorship
Optional Certifications: Azure Data Scientist Associate, Azure AI Engineer Associate.
EEO/AA Employer
