AI & Data Analytics Lead
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Job Description
AI and Data Analytics Lead transforming company operations through generative AI, Snowflake, Tableau, Excel automation, and predictive analytics. Building scalable workflows and decision-support tools across business functions.
Responsibilities:
- Lead the company’s practical adoption and implementation of AI across business functions
- Identify opportunities where AI can eliminate manual work, improve decision-making, increase productivity, reduce errors, and create new capabilities
- Evaluate emerging AI technologies, tools, platforms, and models and determine how they can be applied to the business
- Build and implement AI-powered workflows and integrate AI into existing business processes, systems, reporting, analytics, and workflows
- Develop AI solutions that allow employees to interact with company data using natural language
- Automate recurring analysis, reporting, research, data preparation, reconciliation, forecasting, and other manual processes
- Develop repeatable AI solutions that can scale across departments
- Establish best practices for responsible and secure use of AI with company data
- Transform Excel-based analysis and workflows through AI, automation, Power Query, Power Pivot, VBA, Office Scripts, and related technologies
- Connect Excel to Snowflake, APIs, BI platforms, and other data sources
- Work extensively with Snowflake; write and optimize SQL queries; develop data models and datasets for analytics
- Use Tableau and other BI tools to develop dashboards and reporting
- Incorporate AI into dashboards and analytics and develop natural-language or AI-assisted interfaces to company data
- Partner with Technology and Engineering to improve data pipelines, integrations, APIs, and the overall data environment
- Partner with leadership and business teams to identify high-value analytical and AI opportunities
- Translate business problems into data- and AI-driven solutions
- Develop KPIs, dashboards, analytical models, forecasts, and decision-support tools
- Use AI to improve forecasting, scenario analysis, budgeting, financial analysis, and business planning
- Identify and automate manual and repetitive processes using AI, APIs, workflow tools, or traditional automation
- Build automated workflows connecting data, applications, and AI models
- Measure time, cost, and efficiency improvements generated by AI initiatives
- Create scalable solutions rather than one-off experiments
- Establish an AI-first analytics and automation culture across the organization
Requirements:
- 5+ years of experience in Data Analytics, Business Intelligence, Data Science, AI, Automation, or a related field
- Strong hands-on experience with AI and generative AI tools and demonstrated ability to apply them to real business problems
- Strong experience with Snowflake and SQL
- Strong experience with Tableau or another enterprise BI platform
- Advanced Excel skills, including Power Query, Power Pivot, data modeling, and automation
- Experience integrating AI with Excel, APIs, databases, BI tools, and business applications
- Ability to build practical AI solutions
- Strong understanding of data structures, data modeling, analytics, and business intelligence
- Strong problem-solving skills
- Ability to communicate complex technical concepts to non-technical users
- Comfortable working independently and taking projects from idea through implementation
- Strong business acumen and curiosity about how the entire business operates
- Required technical skills: Generative AI / LLMs; AI workflow design and implementation; Snowflake; SQL; Tableau; Advanced Excel; Power Query / Power Pivot; Data modeling; Data visualization; Automation
- Strongly preferred: Python; APIs; Office Scripts / VBA; Microsoft Copilot; OpenAI / ChatGPT APIs; Claude / Gemini or similar LLM platforms; dbt; Data pipelines / ETL; AI agents and agentic workflows; Machine learning / predictive analytics
Benefits:
- Competitive Compensation
- Medical insurance
- Dental insurance
- Vision insurance
- 401K with Company Match
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