Senior Data Analytics Engineer

Nexzentek Solutions - Columbus, OH

Full-time - Senior

Columbus, OH

Professional, Scientific, and Technical Services

About the position

The Senior Data Analytics Engineer is a Technical Analyst responsible for building datasets, reports, analytics, dashboards, and visualizations. This role involves creating and scheduling Power BI datasets from the source to facilitate easy analysis and visualization for data analysts or business users. The position requires collaboration with business users to determine reporting needs and translating those needs to the technology team, ensuring the accuracy and completeness of data analytics work.

Responsibilities

• Collaborate with business users to determine reporting & visualization needs and appropriate datasets for managed & self-service reporting
• Act as a conduit between Data Engineering and the business to translate business data needs to the technology team
• Develop and implement appropriate data sets for business use
• Analyze current operational procedures, identify problems, and learn specific input and output requirements
• Develop process/procedural documentation, including training documentation and best practices outlines
• Interface with appropriate governing groups to ascertain database application and customization needs
• Assist in the specification and maintenance of records for user access regarding access level and available data
• Mentor team members in data analytics concepts and tools as needed
• Accountable for the accuracy and completeness of assigned work and results
• Prioritize and manage workload and communicate issues clearly
• Complete other tasks as required
• Travel when required

Requirements

• Bachelor's degree from an accredited institution or equivalent industry experience
• 6+ years of experience in data analytics or data engineering environment using Power BI Service with cloud & on-premise databases
• In-depth experience in data analytics using Power BI Service, Power BI Report Server, and SSRS to develop semantic data models, reports and dashboards
• In-depth experience in m-language
• In-depth experience in building tabular models in SSAS and AAS for use with Power BI Reporting Service and Power BI Report Server
• Experienced in troubleshooting and resolving performance issues
• Knowledge of Python or other modern stack tools is a plus
• Proficiency in Databricks & SQL databases
• Knowledge in data transformation, data warehousing, and deployment tools is a plus
• Strong written and verbal communications skills
• Excellent organizational skills, including the ability to multi-task and prioritize workload

Nice-to-haves

• Experience with Safe, LeSS, or Modern Agile methodologies
• Familiarity with InfoSec control levels
• Ability to work in the context of waterfall IT controls