Senior Data Analyst

Delinea; Ciudad de México; Híbrido; MXN 600.000 - 900.000; Jornada completa

Descripción de la vacante

Delinea, a leading security company, is seeking a Senior Data Analyst to join the Data Science & Analytics team. You will own the design, development, and end-to-end support of analytical solutions—from Snowflake-powered data models to production Streamlit applications and AI-powered data products—that drive company initiatives in our B2B SaaS business.

Collaborate with business stakeholders, data scientists, and data engineers to translate complex datasets into usable tools and to

Descripción del empleo

About Delinea: Delinea is a pioneer in securing human and machine identities through intelligent, centralized authorization, empowering organizations to seamlessly govern their interactions across the modern enterprise. Leveraging AI-powered intelligence, Delinea's leading cloud-native Identity Security Platform applies context throughout the entire identity lifecycle - across cloud and traditional infrastructure, data, SaaS applications, and AI. It is the only platform that enables you to discover all identities - including workforce, IT administrator, developers, and machines - assign appropriate access levels, detect irregularities, and respond to threats in real-time. With deployment in weeks, not months, 90% fewer resources to manage than the nearest competitor, and a 99.995% uptime, Delinea delivers robust security and operational efficiency without compromise. Learn more about Delinea on Delinea.com, LinkedIn, X, and YouTube.

Join our passionate, global team at Delinea and help us make the world a safer and more secure place. Our success is driven by world-class product leadership, outstanding engineers, and strategic investment from TPG. We value diversity, innovation, and a culture of respect and fairness. If you're ready to push boundaries and challenge the status quo in security, we want to hear from you.

This position is hybrid (Tuesday, Wednesday and Thursday) at our office in Reforma.

Summary

We are looking for a Senior Data Analyst to join our growing Data Science & Analytics team. This role is ideal for someone who thrives at the intersection of data modeling, application development, and applied AI. You will own the design, development, and end-to-end support of analytical solutions - from Snowflake-powered data models to production Streamlit applications and AI-powered data products - that turn company-level initiatives into decisions across our B2B SaaS business.

You will work closely with business stakeholders, data scientists, and data engineers to transform complex datasets into usable tools, and to operationalize the team's AI/ML work into applications people rely on every day. This role is expected to be AI-first in how it builds - a meaningful shift from how the team operated a year ago - and demands strong technical craft, natural curiosity, and a collaborative mindset to lead products from concept to production and keep them running.

What You'll Do

Streamlit Application Development & Ownership

• 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.

Advanced Data Modeling & Analytics

• 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.

AI-First Development

• 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.

Operationalizing AI/ML into Applications

• 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.

BI & Reporting

• Build and maintain supporting reporting in other BI tools such as Power BI where a full application isn't warranted.

Business Impact & Collaboration

• Partner with GTM