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.
 

Apply today to help us achieve our mission.

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, 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.

What You'll Need

· 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. The way we build has changed substantially from last year; this role is expected to work AI-first.

· 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.

We'd Love To See

· Experience with additional BI tools (Power BI or similar) for lighter-weight reporting.

· Exposure to MLOps or lightweight model-deployment practices used to keep AI features running in production.

· Knowledge of B2B SaaS business models and GTM processes (marketing, sales, customer success).

· Background working with large-scale Salesforce/SFDC datasets.

· Familiarity with the Delinea / DSA stack: Snowflake, Salesforce, Gainsight, and Azure DevOps.

Why work at Delinea?

• We're passionate problem-solvers helping the world's largest organizations protect what matters most: their human and machine identities.

• We invest in people who are smart, self-motivated, and collaborative.

• What we offer in return is meaningful work, a culture of innovation and great career progression.

At Delinea, our core values are STRONG and guide our behaviors and success:

• Spirited - We bring energy and passion to everything we do

• Trust - We act with integrity and deliver on our commitments

• Respect - We listen, value different perspectives, and work as one team

• Ownership - We take initiative and follow through

• Nimble - We adapt quickly in a fast-changing environment

• Global - We embrace diverse people and ideas to drive better outcomes

We believe weaving these core values into our day-to-day actions, and our process for hiring, evaluating, and promoting employees, helps us cultivate a work environment that embraces collaboration and camaraderie.

We take care of our employees. We offer competitive salaries, a meaningful bonus program, and excellent benefits, including healthcare insurance, as well as pension/retirement matching, comprehensive life insurance, an employee assistance program, time off plans, and paid company holidays.

Delinea is an Equal Opportunity and Affirmative Action employer and prohibits discrimination and harassment of any type with regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Upon conditional offer of employment, candidates are required to complete comprehensive criminal background check, verification of education, and verification of employment, per employment policy. In addition, all publicly posted social media sites may be reviewed.