Data Analyst II

ESSENTIAL DUTIES AND RESPONSIBILITIES:

• Collect, clean, integrate, and analyze structured and unstructured data from multiple business systems using SQL, Python, Power Query, or other approved tools.
• Create and publish dashboards, reports, scorecards, semantic models, and presentations using Power BI, Excel, and other approved visualization tools.
• Apply AI-assisted analytics tools, including Copilot features and approved generative AI capabilities, to accelerate data exploration, documentation, insight generation, and report development.
• Identify trends, patterns, anomalies, and business drivers, then translate findings into clear recommendations for technical and nontechnical audiences.
• Partner with business users to understand objectives, define data requirements, document business rules, and translate needs into technical specifications and analytical solutions.
• Develop and maintain reusable data pipelines, dimensional models, semantic models, calculations, and data quality controls.
• Validate data accuracy, test solutions, troubleshoot issues, reconcile results, and document assumptions, lineage, definitions, and limitations.
• Explore practical AI and machine learning use cases, assist with prototypes, and evaluate results against business value, data quality, security, privacy, and responsible AI expectations.
• Support data migrations, system interfaces, and modernization initiatives involving on-premises and cloud data platforms.
• Review current processes and recommend opportunities for automation, standardization, self-service analytics, and improved user experience.
• Stay current on analytics, Microsoft Fabric, Power BI, AI, data governance, and visualization best practices.
• Other duties and responsibilities as assigned and required.

EDUCATION, TRAINING, AND EXPERIENCE:

• Bachelor's degree from a four-year university in data analytics, computer science, information systems, statistics, business, or a related field desired.
• Two or more years of related experience in data analysis, analytics, business intelligence, reporting, or data administration desired.
• Hands-on experience with data visualization, data modeling, data preparation, and data quality practices.
• Exposure to cloud analytics platforms, Microsoft Fabric, Azure data services, AI-assisted analytics, or machine learning concepts desired.

REQUIRED SKILLS:

• Strong analytical problem-solving skills with the ability to connect data findings to business outcomes.
• Ability to work independently under general supervision while collaborating effectively with business and technical stakeholders.
• Ability to plan and prioritize work, manage multiple assignments, and meet deadlines in a changing environment.
• Strong written, verbal, presentation, and data storytelling skills.
• Ability to translate complex technical concepts into clear business language.
• Attention to detail and commitment to data accuracy, documentation, reproducibility, and continuous improvement.
• Ability to adhere to confidentiality, information security, privacy, data governance, and responsible AI standards.
• Curiosity and willingness to learn emerging data and AI technologies.

TOOLS, EQUIPMENT, AND SOFTWARE:

• Required: SQL, Microsoft SQL Server, Power BI, DAX, Power Query, and Excel.
• Desired: Microsoft Fabric, including OneLake, Lakehouse, Warehouse, Data Factory, Dataflow Gen2, notebooks, semantic models, and Direct Lake.
• Desired: Python or R for data analysis, automation, statistical analysis, or machine learning.
• Desired: ETL or ELT development, source control, deployment pipelines, data cataloging, and data lineage practices.
• Desired: Experience using Copilot or other approved AI tools for analytics, while validating outputs and protecting confidential data.
• Desired: Use Microsoft Fabric capabilities such as OneLake, Lakehouse, Warehouse, Data Factory, notebooks, data pipelines, Dataflow Gen2, and Direct Lake where appropriate

WORKING CONDITIONS AND PHYSICAL REQUIREMENTS:

• Primarily indoor work in an office environment requiring long periods of sitting
• Frequent utilization of manual dexterity and visualizing of a computer screen
• No unusual physical requirements