{"schemaVersion":"jobsearcher.job.v1","id":"24b69c9b71af3f98f1c6c96e","url":"https://jobsearcher.com/jobs/24b69c9b71af3f98f1c6c96e","canonicalUrl":"https://jobsearcher.com/jobs/24b69c9b71af3f98f1c6c96e","title":"Data Analytics Sr. Advisor (DAA800)","description":"OverviewQuest 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 Advisorto 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.ResponsibilitiesOwn 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 teamsWrite complex, performant SQL queries to extract, transform, and analyze large datasets, supporting both traditional analytics and machine-learning feature developmentUse Python to perform advanced statistical analysis, build and evaluate machine-learning models, automate workflows, and create reproducible analytical and AI pipelinesPartner with product, sales, operations, and finance teams to understand business needs and translate them into AI-enabled insights, predictive use cases, and data-driven recommendationsDevelop dashboards, reports, and analyses that clearly communicate findings to both technical and non-technical stakeholdersEnsure data accuracy, consistency, and alignment with business definitions, while supporting model governance, validation, and responsible AI practicesProactively identify trends, risks, and opportunities using predictive analytics, anomaly detection, and intelligent pattern recognition techniquesContribute to improving analytics and AI best practices, including data models, feature engineering standards, experimentation frameworks, and documentationEvaluate and leverage GenAI or advanced analytical tools to enhance insight generation, automation, and decision supportQualifications3–5 years of professional experience in analytics, data science, applied AI, or a related role, with demonstrated impact beyond traditional reportingDeep, hands-on experience with SQL (complex joins, window functions, CTEs, performance tuning), including supporting machine-learning feature pipelines and analytical modelsStrong proficiency in Python for advanced analytics, automation, and AI use cases, including experience with libraries such as pandas, numpy, scikit-learn, or similar frameworksProven 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 problemsAbility to operate independently and manage multiple priorities while contributing to AI-enabled initiatives in a fast-paced environmentStrong written and verbal communication skills, with experience explaining analytical or AI outputs to both technical and non-technical stakeholdersPreferred QualificationsMBA or equivalent graduate degree, with experience applying analytics or AI to business strategy, operations, or decision-makingExperience working in a high-growth, fast-moving, or ambiguous environmentFamiliarity with modern data and AI stacks, including cloud data warehouses, BI tools, ML frameworks, and data transformation pipelinesExperience influencing business decisions through data, not just reporting resultsWhat Success Looks LikeYou are a go-to owner for critical metrics and analysis in your domainStakeholders trust your data and seek out your insightsYou balance technical depth with strong business intuitionYour work directly impacts strategic and operational decisions at QuestWhy QuestAt Quest, your work makes an impact. You'll help organizations get AI-ready while building your career with a global team of innovators. We offer:Competitive pay, annual bonuses, and top-performer recognition.Comprehensive health, family, and retirement benefits.Flexible work options, generous PTO, and wellness programs.Professional growth through learning platforms, mentorship, and leadership programs.Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council.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.J-18808-Ljbffr","company":"Quest Software Canada","rawCompany":"quest software canada","city":"Austin","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-05-01T06:16:55.710Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Data Analytics Sr. Advisor (DAA800)","description":"OverviewQuest 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 Advisorto 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.ResponsibilitiesOwn 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 teamsWrite complex, performant SQL queries to extract, transform, and analyze large datasets, supporting both traditional analytics and machine-learning feature developmentUse Python to perform advanced statistical analysis, build and evaluate machine-learning models, automate workflows, and create reproducible analytical and AI pipelinesPartner with product, sales, operations, and finance teams to understand business needs and translate them into AI-enabled insights, predictive use cases, and data-driven recommendationsDevelop dashboards, reports, and analyses that clearly communicate findings to both technical and non-technical stakeholdersEnsure data accuracy, consistency, and alignment with business definitions, while supporting model governance, validation, and responsible AI practicesProactively identify trends, risks, and opportunities using predictive analytics, anomaly detection, and intelligent pattern recognition techniquesContribute to improving analytics and AI best practices, including data models, feature engineering standards, experimentation frameworks, and documentationEvaluate and leverage GenAI or advanced analytical tools to enhance insight generation, automation, and decision supportQualifications3–5 years of professional experience in analytics, data science, applied AI, or a related role, with demonstrated impact beyond traditional reportingDeep, hands-on experience with SQL (complex joins, window functions, CTEs, performance tuning), including supporting machine-learning feature pipelines and analytical modelsStrong proficiency in Python for advanced analytics, automation, and AI use cases, including experience with libraries such as pandas, numpy, scikit-learn, or similar frameworksProven 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 problemsAbility to operate independently and manage multiple priorities while contributing to AI-enabled initiatives in a fast-paced environmentStrong written and verbal communication skills, with experience explaining analytical or AI outputs to both technical and non-technical stakeholdersPreferred QualificationsMBA or equivalent graduate degree, with experience applying analytics or AI to business strategy, operations, or decision-makingExperience working in a high-growth, fast-moving, or ambiguous environmentFamiliarity with modern data and AI stacks, including cloud data warehouses, BI tools, ML frameworks, and data transformation pipelinesExperience influencing business decisions through data, not just reporting resultsWhat Success Looks LikeYou are a go-to owner for critical metrics and analysis in your domainStakeholders trust your data and seek out your insightsYou balance technical depth with strong business intuitionYour work directly impacts strategic and operational decisions at QuestWhy QuestAt Quest, your work makes an impact. You'll help organizations get AI-ready while building your career with a global team of innovators. We offer:Competitive pay, annual bonuses, and top-performer recognition.Comprehensive health, family, and retirement benefits.Flexible work options, generous PTO, and wellness programs.Professional growth through learning platforms, mentorship, and leadership programs.Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council.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. 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