Data Analytics Sr. Advisor (DAA800)

Quest Software • Austin, TX

2d

About The Position

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 Data 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.

Requirements

• 3–4 years of professional experience in analytics, data analysis, or a related role
• Deep, hands‑on experience with SQL (complex joins, window functions, CTEs, performance tuning)
• Strong proficiency in Python for data analysis (e.g., pandas, numpy, data visualization, automation)
• Proven experience owning and generating business metrics in a professional or business context
• Strong analytical thinking and problem‑solving skills
• Ability to operate independently and manage multiple priorities in a fast‑paced organization
• Excellent written and verbal communication skills

Nice To Haves

• MBA or equivalent graduate degree (1–2 years experience post‑MBA or during MBA)
• Experience working in a high‑growth, fast‑moving, or ambiguous environment
• Familiarity with modern data stacks (e.g., cloud data warehouses, BI tools, data transformation frameworks)
• Experience influencing business decisions through data, not just reporting results

Responsibilities

• Own the definition, development, and ongoing maintenance of key business metrics used by leadership and operating teams
• Write complex, performant SQL queries to extract, transform, and analyze large datasets
• Use Python to perform advanced analysis, automate workflows, and build reproducible analytical pipelines
• Partner with product, sales, operations, and finance teams to understand business needs and turn them into actionable insights
• 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
• Proactively identify trends, risks, and opportunities within the data
• Contribute to improving analytics best practices, data models, and documentation

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 101-250 employees