Senior Data Analyst - Snowflake/Streamlit

About Delinea:

Delinea is the identity security platform that continuously controls what AI agents, humans and machines can do and for how long. It extends privileged access management from the point of access to the moment of action, using just-in-time authorization to reduce standing privilege across on-premises, multi-cloud and short-lived infrastructure, without adding friction for legitimate users. Delinea provides visibility across every identity type, scores the risk each one carries, and preserves the context behind access decisions, making them auditable and defensible. It supports both static and ephemeral access, letting teams apply Zero Standing Privilege where risk demands it without replacing existing infrastructure.

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.