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Senior Data Analyst - Snowflake/Streamlit

Delinea· Information Technology
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Mexico CityFull-timePosted 2mo ago

About the role

Senior Data Analyst to design, develop, and operationalize Snowflake-powered data models and production Streamlit applications with AI-first development, collaborating with business stakeholders, data scientists, and data engineers to turn datasets into decision-driving data products for a B2B SaaS business.

Responsibilities

  • Design, develop, and ship production Streamlit applications that turn company and GTM requirements into usable data products.
  • Own the full lifecycle of the team's Streamlit apps — build, release, monitoring, and end-to-end support — keeping them reliable as data and requirements evolve.
  • Iterate quickly with stakeholders, using AI-assisted development to move from requirement to working app faster than traditional hand-coding.
  • Design, develop, and optimize Snowflake data models to support analytics, applications, and AI-driven products.
  • Build scalable, efficient queries and datasets to ensure high-quality, trustworthy data availability for the apps you deliver.
  • Use AI tools for development as a core part of daily work — not an occasional add-on — to design, build, test, and maintain applications.
  • Apply prompt engineering and modern AI development techniques to accelerate delivery and improve product quality.
  • Integrate the data science team's model outputs — traditional ML models, RAG endpoints, and agentic LLM services — into user-facing Streamlit applications.
  • Own the last mile from model to product: wire in model and data services, design the user experience, and keep the integrated apps performant and dependable in production.
  • Partner with data scientists to turn their work into shipped, supported tools rather than one-off notebooks or prototypes.
  • Build and maintain supporting reporting in other BI tools such as Power BI where a full application isn't warranted.
  • Partner with GTM, sales ops, customer success, and initiative owners to identify high-impact opportunities and translate business intent into the right data product.
  • Communicate clearly with both technical and non-technical audiences, and stand behind the accuracy of the numbers your apps surface.

Qualifications

  • Bachelor’s plus 6+ years of hands-on data analytics and/or application development experience, with a proven track record of delivering production-grade data products OR Master’s degree in Data Science, Computer Science, Statistics, or a related field plus 4+ years of equivalent hands-on experience.
  • Advanced Snowflake expertise, including complex SQL and scalable data-model design.
  • Expert-level Streamlit development — proven experience building and shipping production Streamlit applications.
  • Proficiency using AI tools for development — this is a required, must-have skill.
  • Deep data fluency — a strong, intuitive understanding of data structure, quality, and how to turn it into something trustworthy and useful.
  • GTM domain knowledge with strong business acumen — understands the go-to-market space and can translate business needs into products.
  • Ability to integrate AI/ML outputs into applications — comfortable consuming model endpoints, RAG, and agentic services and operationalizing them into reliable, user-facing tools.
  • Proficiency in Python for application and data work.
  • Ability to communicate complex technical topics clearly to both technical and non-technical audiences.

Skills

Required:Snowflake SQLStreamlitPythonAI tools for developmentData modeling

Benefits

  • competitive salaries
  • meaningful bonus program
  • healthcare insurance
  • pension/retirement matching
  • comprehensive life insurance
  • employee assistance program
  • time off plans
  • paid company holidays
Last updated Sep 16, 2026. Interested? Apply on the company site.

About Delinea

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Delinea Identity Security and Privileged Access Management

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