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Senior AI Analytics Engineer

Marlborough, Massachusetts; Arlington, Tennessee; Dallas, Texas; El Paso, Texas

Live, first seen by us 81 days ago
Pay
Pay not listedSimilar roles state $122K–$190K
Work setting
Not stated
Employment
Not stated

What you’ll work on

Full posting
  • Design, build and deploy AI analytics solutions on Azure AI Foundry, Copilot Studio and Azure OpenAI

  • Develop AI assistants, copilots, RAG solutions and AI agents that use enterprise data

  • Enable natural language querying, automated insights and KPI explanations in BI

  • Integrate AI solutions with Power BI, semantic models and enterprise data platforms

  • Define AI evaluation, monitoring, guardrails and security controls

From the employer’s posting
Design, build, and deploy AI-enabled analytics solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI
Develop AI assistants, copilots, Retrieval-Augmented Generation (RAG) solutions, Agentic AI workflows, and AI agents that securely leverage enterprise data and knowledge assets.
Enable AI-assisted analytics and BI capabilities, including natural language querying, automated insights, narrative reporting, KPI explanations
Integrate AI solutions with Power BI, semantic models, governed datasets, enterprise APIs, and modern cloud data platforms.
Define and implement AI evaluation frameworks, observability, monitoring, guardrails, security controls, and deployment standards.

What you’ll bring

All qualifications

Core experience

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related technical field.
  • Master’s degree in a technical, quantitative, or analytics-related field.
  • 8+ years of experience delivering enterprise analytics, BI, data, cloud, software, automation, or AI solutions.
  • Experience with Microsoft Fabric, Power Platform, Power Automate, Logic Apps, Azure DevOps, CI/CD, MLOps, LLMOps, or AI observability tools.
  • 2+ years of hands-on AI / GenAI solution delivery experience, including experience deploying enterprise AI solutions into production.
  • Experience with Jupyter Notebooks, Microsoft Fabric Notebooks, PySpark, Spark, or distributed data processing.
Qualification wording
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related technical field.
Master’s degree in a technical, quantitative, or analytics-related field.
8+ years of experience delivering enterprise analytics, BI, data, cloud, software, automation, or AI solutions.
Experience with Microsoft Fabric, Power Platform, Power Automate, Logic Apps, Azure DevOps, CI/CD, MLOps, LLMOps, or AI observability tools.
2+ years of hands-on AI / GenAI solution delivery experience, including experience deploying enterprise AI solutions into production.
Experience with Jupyter Notebooks, Microsoft Fabric Notebooks, PySpark, Spark, or distributed data processing.
Education & alternatives
Minimum Qualifications: - Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related technical field. - 8+ years of experience delivering enterprise analytics, BI, data, cloud, software, automation, or AI solutions.
Preferred Qualification: - Master’s degree in a technical, quantitative, or analytics-related field. - Highly desired: Experience with Model Context Protocol (MCP), Semantic Kernel, LangChain, LangGraph, agent frameworks, tool-calling, plugins, or multi-agent orchestration.
Apply at Helen of Troy

Posting record

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Status in our records
Live
First seen by us
Aug 14, 202681 days ago
Recorded sightings
73
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$122K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 321 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 81

Up longer than most. Similar jobs usually come down between day 6 and day 47.

From 1,409 similar postings that came down. Coming down is not always a hire.

Helen of Troy is hiring

2 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • Azure
  • Power BI
  • Snowflake
  • Spark
  • Flask
  • PySpark
Where the posting names them
- Integrate AI solutions with Power BI, semantic models, governed datasets, enterprise APIs, and modern cloud data platforms. - Utilize Python and modern analytics tooling to prototype, validate, and operationalize AI-enabled analytics solutions. - Support advanced analytics initiatives including forecasting, anomaly detection, marketing analytics, social listening, and enterprise insight generation.
- Experience implementing enterprise AI 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 BI analytics solutions.
The Senior AI Analytics Engineer will help drive the adoption and delivery of AI-enabled analytics solutions across the enterprise. This role combines Microsoft AI technologies, business intelligence, analytics engineering, and modern data platforms to improve decision-making, automate insight generation, and accelerate business value. - Design, build, and deploy AI-enabled analytics solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft 365, Microsoft Graph, and related Microsoft AI technologies. - Develop AI assistants, copilots, Retrieval-Augmented Generation (RAG) solutions, Agentic AI workflows, and AI agents that securely leverage enterprise data and knowledge assets.
- 2+ years of hands-on AI / GenAI solution delivery experience, including experience deploying enterprise AI solutions into production. - Hands-on experience with Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft Graph, Microsoft 365, Azure AI Search, or similar enterprise AI technologies. - Experience building AI assistants, copilots, RAG solutions, semantic search solutions, AI agents, or AI-enabled business workflows.
- Highly desired: Experience with Model Context Protocol (MCP), 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, CI/CD, MLOps, LLMOps, or AI observability tools. - Experience with Jupyter Notebooks, Microsoft Fabric Notebooks, PySpark, Spark, or distributed data processing.
- Enable AI-assisted analytics and BI capabilities, including natural language querying, automated insights, narrative reporting, KPI explanations, proactive alerts, and business recommendations. - Integrate AI solutions with Power BI, semantic models, governed datasets, enterprise APIs, and modern cloud data platforms. - Utilize Python and modern analytics tooling to prototype, validate, and operationalize AI-enabled analytics solutions.
- Strong proficiency in Python and SQL. - Experience working with Power BI, semantic models, governed datasets, enterprise reporting platforms, or BI analytics solutions. - Experience integrating AI or analytics solutions with enterprise data platforms such as Snowflake or comparable cloud data platforms.
- Experience working with Power BI, semantic models, governed datasets, enterprise reporting platforms, or BI analytics solutions. - Experience integrating AI 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.
- Working knowledge of statistical modeling, machine learning fundamentals, forecasting, anomaly detection, or model evaluation techniques. - Familiarity with Snowflake AI 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 BI environments.
- Experience with Microsoft Fabric, Power Platform, Power Automate, Logic Apps, Azure DevOps, CI/CD, MLOps, LLMOps, or AI 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.
Join our IT team at Helen of Troy and make an immediate impact on our trusted brands: OXO, Hydro Flask, Osprey, Honeywell, PUR, Braun, Vicks, Hot Tools, Drybar, Curlsmith, Revlon, and Olive & June. Together, we build innovative and useful products that elevate people's lives everywhere every day.
We will provide individuals with disabilities with reasonable accommodations to participate in the job application process. To request an accommodation, please contact Human Resources at (915) 225-8000. Founded in 1968, Helen of Troy is a leading global consumer products company with operations across North America, South America, Europe, and Asia. Our portfolio includes trusted brands such as OXO, Hydro Flask, Osprey, Honeywell, PUR, Braun, Vicks, Hot Tools, Drybar, Curlsmith, Revlon, and Olive & June – many of which rank among the top brands in their consumer goods categories. We grow and strengthen our brands through innovation, operational excellence, and a collaborative culture focused on delivering exceptional products and experiences for consumers worldwide.

Your next step

Complete your application on careers.helenoftroy.com. The employer’s form will show what is required.

Already applied? Track this application

About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Join our IT team at Helen of Troy and make an immediate impact on our trusted brands:  OXO, Hydro Flask, Osprey, Honeywell, PUR, Braun, Vicks, Hot Tools, Drybar, Curlsmith, Revlon, and Olive & June.

Together, we build innovative and useful products that elevate people's lives everywhere every day.

Look around your home, and you'll find us everywhere, in your kitchen, living room, bedroom, and bathroom. We are already making your everyday lives better. We are powered by knowledgeable, enthusiastic, and forward-thinking people committed to developing a culture of inclusion. Whether you are just starting your career or in need of a challenge, we recognize, develop, and empower talent!

Position: Senior AI Analytics Engineer

Department: IT

Work Location (s):

  • El Paso, TX

  • Plano, TX,

  • Arlington, TN,

  • Marlborough, MA.

Hybrid Schedule: At Helen of Troy, we embrace a flexible hybrid work model designed to support collaboration and productivity. For roles eligible for hybrid work, our standard schedule includes in-office collaboration from Tuesday through Thursday, with the option to work remotely on Mondays and Fridays. Any updates to this model will be communicated in advance. Please note that hybrid eligibility and schedules may vary based on business needs and manager expectations.

What you will be doing:

The Senior AI Analytics Engineer will help drive the adoption and delivery of AI-enabled analytics solutions across the enterprise. This role combines Microsoft AI technologies, business intelligence, analytics engineering, and modern data platforms to improve decision-making, automate insight generation, and accelerate business value.

  • Design, build, and deploy AI-enabled analytics solutions using Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft 365, Microsoft Graph, and related Microsoft AI technologies.

  • Develop AI assistants, copilots, Retrieval-Augmented Generation (RAG) solutions, Agentic AI workflows, and AI agents that securely leverage enterprise data and knowledge assets.

  • Enable AI-assisted analytics and BI capabilities, including natural language querying, automated insights, narrative reporting, KPI explanations, proactive alerts, and business recommendations.

  • Integrate AI solutions with Power BI, semantic models, governed datasets, enterprise APIs, and modern cloud data platforms.

  • Utilize Python and modern analytics tooling to prototype, validate, and operationalize AI-enabled analytics solutions.

  • Support advanced analytics initiatives including forecasting, anomaly detection, marketing analytics, social listening, and enterprise insight generation.

  • Define and implement AI evaluation frameworks, observability, monitoring, guardrails, security controls, and deployment standards.

  • Partner with business stakeholders, BI teams, data engineering teams, and platform owners to identify and deliver high-value AI and analytics use cases.

  • Create reusable solution patterns, technical documentation, and best practices to support enterprise AI adoption and scalability.

Minimum Qualifications:

  • Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, Information Systems, Analytics, or a related technical field.

  • 8+ years of experience delivering enterprise analytics, BI, data, cloud, software, automation, or AI solutions.

  • 2+ years of hands-on AI / GenAI solution delivery experience, including experience deploying enterprise AI solutions into production.

  • Hands-on experience with Azure AI Foundry, Copilot Studio, Azure OpenAI, Microsoft Graph, Microsoft 365, Azure AI Search, or similar enterprise AI technologies.

  • Experience building AI assistants, copilots, RAG solutions, semantic search solutions, AI agents, or AI-enabled business workflows.

  • Experience implementing enterprise AI 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 BI analytics solutions.

  • Experience integrating AI 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%.

Preferred Qualification:

  • Master’s degree in a technical, quantitative, or analytics-related field.

  • Highly desired: Experience with Model Context Protocol (MCP), 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, CI/CD, MLOps, LLMOps, or AI 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 AI 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 BI environments.

Benefits: Salary + Bonus, Healthcare, Dental, Vision, Paid Holidays, Paid Parental Leave, 401(k) with company match, Basic Life Insurance, Short Term Disability (STD), Long Term Disability (LTD), Paid Time Off (PTO), Paid Charitable (volunteer) Leave, and Educational Assistance.  

Wondering if you should apply? Helen of Troy welcomes people as diverse as our brands! Have the confidence to come as who you are because your point of view, skills, and experience will make us stronger. If you're eager to share new ideas and try new things, we want to hear from you.  

#li-ab1

#LI-HYBRID


For more information about Helen of Troy, visit www.helenoftroy.com. You can also find us on LinkedIn, and Glassdoor.

 

Helen of Troy is an Equal Opportunity/Affirmative Action Employer.  We are committed to fostering a diverse and inclusive workplace where all employees can thrive.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy, genetic information, disability, status as a protected veteran, or any other protected category under applicable federal, state, and local laws.


We will provide individuals with disabilities with reasonable accommodations to participate in the job application process.  To request an accommodation, please contact Human Resources at (915) 225-8000. 


Founded in 1968, Helen of Troy is a leading global consumer products company with operations across North America, South America, Europe, and Asia.  Our portfolio includes trusted brands such as OXO, Hydro Flask, Osprey, Honeywell, PUR, Braun, Vicks, Hot Tools, Drybar, Curlsmith, Revlon, and Olive & June – many of which rank among the top brands in their consumer goods categories.


We grow and strengthen our brands through innovation, operational excellence, and a collaborative culture focused on delivering exceptional products and experiences for consumers worldwide.


The above statements are intended to describe the general nature and level of work performed and are not intended to be an exhaustive list of responsibilities.


Management reserves the right to modify the duties and responsibilities of the position at any time.

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Location & working pattern

Marlborough, Massachusetts; Arlington, Tennessee; Dallas, Texas; El Paso, Texas

- Marlborough, MA. Hybrid Schedule: At Helen of Troy, we embrace a flexible hybrid work model designed to support collaboration and productivity. For roles eligible for hybrid work, our standard schedule includes in-office collaboration from Tuesday through Thursday, with the option to work remotely on Mondays and Fridays. Any updates to this model will be communicated in advance. Please note that hybrid eligibility and schedules may vary based on business needs and manager expectations. What you will be doing:
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#li-ab1 #LI-HYBRID For more information about Helen of Troy, visit www.helenoftroy.com. You can also find us on LinkedIn, and Glassdoor.
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