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Artificial Intelligence & Analytics Sr AdvisorQuest Software • Austin, Texas, United States
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Artificial Intelligence & Analytics Sr Advisor

Quest Software
  • US
    Austin, Texas, United States
  • US
    Austin, Texas, United States
Postuler Maintenant

À propos

Overview Quest Software builds the foundation for enterprise AI with solutions in data governance, cybersecurity, and platform modernization. More than 45,000 companies, including 90% of the Fortune 500, trust Quest to solve their most critical IT challenges. From securing identities and modernizing platforms to preparing data for AI, we help enterprises unlock their full potential.
Quest is seeking a highly motivated AI & Analytics Sr Advisor to join our analytics team. This role is ideal for someone who thrives in a fast‑paced environment, enjoys hands‑on technical work, and takes ownership of defining, building, and operationalizing business metrics that drive decision‑making. You will work closely with cross‑functional partners to translate business questions into data solutions, develop scalable analytics, and deliver insights that influence strategy and execution.
This position is an in‑office based role located in The Domain area of Austin. Sponsorship not available.
Responsibilities
Own the definition, development, and ongoing evolution of key business metrics, including the application of AI‑driven models and advanced analytics to improve forecasting, measurement, and decision‑making for leadership and operating teams
Write complex, performant SQL queries to extract, transform, and analyze large datasets, supporting both traditional analytics and machine‑learning feature development
Use Python to perform advanced statistical analysis, build and evaluate machine‑learning models, automate workflows, and create reproducible analytical and AI pipelines
Partner with product, sales, operations, and finance teams to understand business needs and translate them into AI‑enabled insights, predictive use cases, and data‑driven recommendations
Develop dashboards, reports, and analyses that clearly communicate findings to both technical and non‑technical stakeholders
Ensure data accuracy, consistency, and alignment with business definitions, while supporting model governance, validation, and responsible AI practices
Proactively identify trends, risks, and opportunities using predictive analytics, anomaly detection, and intelligent pattern recognition techniques
Contribute to improving analytics and AI best practices, including data models, feature engineering standards, experimentation frameworks, and documentation
Evaluate and leverage GenAI or advanced analytical tools to enhance insight generation, automation, and decision support
Qualifications
3–5 years of professional experience in analytics, data science, applied AI, or a related role, with demonstrated impact beyond traditional reporting
Deep, hands‑on experience with SQL (complex joins, window functions, CTEs, performance tuning), including supporting machine‑learning feature pipelines and analytical models
Strong proficiency in Python for advanced analytics, automation, and AI use cases, including experience with libraries such as pandas, numpy, scikit‑learn, or similar frameworks
Proven experience defining, owning, and evolving business metrics enhanced by predictive or AI‑driven insights (e.g., forecasting, segmentation, propensity modeling)
Demonstrated ability to apply advanced analytical, statistical, or machine‑learning techniques to solve ambiguous business problems
Ability to operate independently and manage multiple priorities while contributing to AI‑enabled initiatives in a fast‑paced environment
Strong written and verbal communication skills, with experience explaining analytical or AI outputs to both technical and non‑technical stakeholders
Preferred Qualifications
MBA or equivalent graduate degree, with experience applying analytics or AI to business strategy, operations, or decision‑making
Experience working in a high‑growth, fast‑moving, or ambiguous environment
Familiarity with modern data and AI stacks, including cloud data warehouses, BI tools, ML frameworks, and data transformation pipelines
Experience influencing business decisions through data, not just reporting results
What Success Looks Like
You are a go‑to owner for critical metrics and analysis in your domain
Stakeholders trust your data and seek out your insights
You balance technical depth with strong business intuition
Your work directly impacts strategic and operational decisions at Quest
Quest is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: Quest is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Quest are based on business needs, job requirements, and individual qualifications, without regard to race, color, religion, or belief, national, social, or ethnic origin, sex (including pregnancy), age, physical, mental, or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union, or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Quest will not tolerate discrimination or harassment based on any of these characteristics. Quest encourages applicants of all ages.
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  • Austin, Texas, United States

Compétences linguistiques

  • English
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