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Helen of Troy

Global consumer products company with brands

Sr. AI Analytics Engineer

AI Application EngineeringUpdated on Nov 9
Full-time

About the Job

Requirements

  • A bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related technical field.
  • At least 8 years of experience delivering enterprise analytics, business intelligence, data, cloud, software, automation, or artificial intelligence solutions.
  • At least 2 years of hands-on artificial intelligence or generative artificial intelligence solution delivery experience, including deploying enterprise artificial intelligence solutions into production.
  • Hands-on experience with Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft Graph, Microsoft 365, Azure AI Search, or similar enterprise artificial intelligence technologies.
  • Experience building artificial intelligence assistants, copilots, Retrieval-Augmented Generation solutions, semantic search solutions, artificial intelligence agents, or artificial intelligence-enabled business workflows.
  • Experience implementing enterprise artificial intelligence solutions with appropriate governance, monitoring, observability, evaluation frameworks, guardrails, and secure deployment practices.
  • Strong proficiency in Python and SQL.
  • Experience working with Power BI, semantic models, governed datasets, enterprise reporting platforms, or business intelligence analytics solutions.
  • Experience integrating artificial intelligence or analytics solutions with enterprise data platforms such as Snowflake or comparable cloud data platforms.
  • Proven ability to lead technical workstreams and influence solution delivery without direct people-management responsibility.
  • Ability to travel domestically up to 5%.

Responsibilities

  • Design, build, and deploy artificial intelligence-enabled analytics solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft 365, Microsoft Graph, and related Microsoft artificial intelligence technologies.
  • Develop artificial intelligence assistants, copilots, Retrieval-Augmented Generation solutions, agentic artificial intelligence workflows, and artificial intelligence agents that securely leverage enterprise data and knowledge assets.
  • Enable artificial intelligence-assisted analytics and business intelligence capabilities, including natural language querying, automated insights, narrative reporting, key performance indicator explanations, proactive alerts, and business recommendations.
  • Integrate artificial intelligence solutions with Power BI, semantic models, governed datasets, enterprise application programming interfaces, and modern cloud data platforms.
  • Use Python and modern analytics tooling to prototype, validate, and operationalize artificial intelligence-enabled analytics solutions.
  • Support advanced analytics initiatives, including forecasting, anomaly detection, marketing analytics, social listening, and enterprise insight generation.
  • Define and implement artificial intelligence evaluation frameworks, observability, monitoring, guardrails, security controls, and deployment standards.
  • Partner with business stakeholders, business intelligence teams, data engineering teams, and platform owners to identify and deliver high-value artificial intelligence and analytics use cases.
  • Create reusable solution patterns, technical documentation, and best practices to support enterprise artificial intelligence adoption and scalability.

Desired Qualifications

  • A master's degree in a technical, quantitative, or analytics-related field.
  • Experience with Model Context Protocol, Semantic Kernel, LangChain, LangGraph, agent frameworks, tool-calling, plugins, or multi-agent orchestration.
  • Experience with Microsoft Fabric, Power Platform, Power Automate, Logic Apps, Azure DevOps, continuous integration and continuous delivery, machine learning operations, large language model operations, or artificial intelligence observability tools.
  • Experience with Jupyter Notebooks, Microsoft Fabric Notebooks, PySpark, Spark, or distributed data processing.
  • Working knowledge of statistical modeling, machine learning fundamentals, forecasting, anomaly detection, or model evaluation techniques.
  • Familiarity with Snowflake artificial intelligence capabilities such as Cortex, Cortex Analyst, Cortex Search, Snowpark, Snowflake ML, or Snowflake Intelligence.
  • Experience in consumer products, retail, ecommerce, supply chain, marketing analytics, or enterprise business intelligence environments.

About the Company

Helen of Troy

Global consumer products company with brands

Helen of Troy is a global consumer products company with a portfolio of brands in Home & Outdoor and Beauty & Wellness. It sells everyday consumer goods built on more than 55 years of experience, focusing on quality and reliability. The company differentiates itself through a broad, world-class brand lineup, long-standing expertise, and a culture that emphasizes employee growth and teamwork. Its goal is to grow its brands and deliver dependable products to consumers while supporting personal and collective success within its organization.

Company size
1,001-5,000
Company stage
IPO
Headquarters
El Paso, TX
Founded
1968

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