Staff AI Data Analytics Engineer

Skills

About the Role

You will build production analytics systems, dashboards, and AI-enabled data experiences. You will analyze multi-source data, develop SQL and Python solutions, create executive reporting, extend AI platforms with reusable tools, and lead data-quality and governance efforts.

Requirements

• Bachelor’s degree or higher in Computer Science, Data Science, Engineering, Mathematics, Business Analytics, Information Systems, or a related discipline
• At least 8 years of experience in data analytics, analytics engineering, data science, business intelligence, business analytics, or a related field
• Experience applying LLMs or AI-agent platforms to analytics, reporting, search, or workflow automation
• Experience with large multi-source datasets
• Proficiency in SQL and Python
• Understanding of databases, schemas, data relationships, and enterprise data layers
• Experience with Tableau, Power BI, Qlik, Looker, or similar visualization platforms
• Ability to present data and recommendations to senior and executive stakeholders
• Valid driver’s license
• Ability to travel up to 10%

Responsibilities

• Analyze business data and translate findings into recommendations
• Present insights to executive leaders
• Query, transform, and analyze data with SQL and Python
• Partner with data engineering teams to resolve data gaps and quality issues
• Build dashboards and executive reporting
• Develop data-search, query, and exploration experiences
• Build reusable AI plugins, tools, integrations, and search capabilities
• Automate analysis, reporting, summarization, and information retrieval with AI
• Establish data governance, metric standards, and data-quality practices

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Disability insurance
• 401K
• PTO