Senior Analytics Engineer

SailPoint • Austin, TX

2d

About The Position

SailPoint is the leader in identity security for the cloud enterprise. Our solutions help thousands of organizations worldwide see and govern who has access to what, so every identity has exactly the access it needs. SailPoint is seeking an Analytics Engineer to join our IT Data Engineering team. In this role, you will build and maintain the data models and pipelines that serve as the trusted foundation for reporting and analytics across SailPoint, with a particular focus on supporting our HR and People Analytics partners. You'll own data from ingestion through the reporting layer, writing the SQL, tests, documentation, and access controls that keep it accurate, secure, and easy for others to build on.

Requirements

• 5 - 8 years of experience in analytics engineering, data engineering, or a similar role.
• Advanced SQL skills, including window functions, CTEs, and query performance tuning.
• Hands-on experience building and maintaining data models in dbt, including tests, macros, and documentation.
• Experience working in a cloud data warehouse, preferably BigQuery.
• Experience building or supporting data pipelines and working with orchestration tools such as Airflow, Cloud Composer, or similar.
• Hands-on experience with Tableau Desktop and Tableau Server or Tableau Cloud, including published data sources, calculated fields, parameters, and Row-Level Security.
• Experience working with sensitive or PII data and applying data privacy and access controls.
• Proficiency with version control using Git and familiarity with CI/CD workflows.
• Strong understanding of data modeling concepts such as dimensional modeling, star schemas, granularity, and slowly changing dimensions.
• Experience gathering requirements from business users and translating them into data solutions.
• Strong attention to detail and a commitment to data accuracy.
• Clear written and verbal communication skills, with the ability to explain technical concepts to non-technical and executive audiences.

Nice To Haves

• Bachelor's degree in a STEM, business, or related field, or equivalent experience.
• Experience with HR or workforce data, such as headcount, attrition, and recruiting funnel reporting.
• Experience with Workday data, including custom reports or integrations that feed downstream analytics.
• Experience using AI tools for analytical querying or building AI-assisted self-service reporting.
• Experience with Python for data pipelines, automation, or analysis.
• Experience with data ingestion tools such as Fivetran, Airbyte, or similar.
• Familiarity with Google Cloud Platform services beyond BigQuery.
• Experience in a SaaS or cybersecurity environment.

Responsibilities

• Design, build, and maintain modular dbt models in BigQuery that transform raw data into clean, reliable, analysis-ready datasets.
• Write performant, well-structured SQL, and optimize BigQuery queries and models for speed and cost.
• Build and support data ingestion pipelines that bring data from source systems and SaaS applications, including Workday, into the warehouse.
• Develop and maintain orchestration and scheduling for data workflows, and monitor pipelines to make sure data arrives on time and complete.
• Define and standardize business metrics, such as headcount, attrition, and recruiting funnel measures, so the same number shows up consistently in every report and dashboard.
• Implement dbt tests, documentation, and code review practices to ensure data quality and make models easy for others to understand and extend.
• Enforce data privacy and access controls for sensitive and PII data across models, data sources, and dashboards, including Row-Level Security.
• Build and maintain Tableau data sources and dashboards on top of your models, including operational and executive-level views used by HR and leadership.
• Support Tableau administration for the content you own, including user permissions, publishing workflows, and refresh schedules.
• Build datasets that support workforce analytics and forecasting use cases, such as attrition and recruiting capacity planning.
• Explore and help implement AI-assisted analytics, such as self-service query tools built on BigQuery and Google Gemini, for HR and other business partners.
• Troubleshoot data issues end to end, from source system through transformation to reporting, and drive root-cause fixes.
• Contribute to CI/CD, version control, and deployment practices for the team's data projects.
• Partner with business stakeholders to gather requirements, define KPIs, and scope new data products and visualizations.
• Contribute to data modeling standards, naming conventions, and reusable patterns for the broader data team.

Benefits

• Health and wellness coverage: Medical, dental, and vision insurance
• Disability coverage: Short-term and long-term disability
• Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)
• Additional life coverage options: Supplemental life insurance for employees, spouses, and children
• Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account
• Financial security: 401(k) Savings and Investment Plan with company matching
• Time off benefits: Flexible vacation policy
• Holidays: 8 paid holidays annually
• Sick leave
• Parental support: Paid parental leave
• Employee Assistance Program (EAP) and Care Counselors
• Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options
• Health Savings Account (HSA) with employer contribution
• SailPoint Corporate Bonus Plan or a role-specific commission
• Potential eligibility for equity participation

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed