Data Analyst V - US

Rackspace Technology

1d • $132,149 - $193,856

About The Position

The Data Analyst V owns complex, cross-cutting analytics solutions and semantic-layer/self-service capabilities, setting technical direction for their analytic area, mentoring analysts, and partnering directly with senior business and clinical stakeholders. The role architects and delivers analytic solutions and semantic-layer views spanning multiple domains, leads dashboard and analytics design reviews, and helps establish data-validation and quality-assurance standards. It also owns processes for validating AI-generated insights and narratives, and builds and supports natural-language query interfaces on the semantic layer to broaden self-service use.

The position requires advanced expertise in SQL, dashboard architecture, and data warehousing, as well as deep knowledge of prompt engineering and AI-copilot capabilities. The analyst independently translates ambiguous stakeholder needs into technical designs and mentors junior and mid-level analysts on requirements gathering, dashboard design, best practices, and safe AI-copilot use. The role occasionally presents technical work to cross-functional groups of 5–10 people.

The stated compensation range is $132,149.00 per year in the lowest geographic market to $193,856.30 per year in the highest. Pay varies with market location and job-related knowledge, skills, and experience. The compensation package may also include annual bonus or incentive opportunities, equity awards, and an Employee Stock Purchase Plan. Rackspace Technology describes itself as operating enterprise AI infrastructure and services and supporting customers in more than 120 countries. It states its commitment to equal employment opportunity and to providing accommodations for applicants with disabilities or special needs.

Requirements

• Bachelor's degree in Health Science, Computer Science, Math, Business, or a related field, or equivalent experience.
• 9–12 years of experience in analytics, with significant project ownership.
• 4–6 years of hands-on experience building and optimizing dashboards or analytic solutions.
• At least 1 year of informal experience mentoring analysts.
• Advanced expertise in SQL and dashboard architecture, and a deep understanding of data warehousing concepts.
• Ability to independently design complex, cross-domain analytic solutions and semantic-layer views.
• Deep understanding of prompt engineering and AI-copilot capabilities, including the ability to independently design guardrails for validating AI-generated insights and narratives.
• Ability to mentor mid-level and junior analysts on requirements gathering and dashboard design.

Nice To Haves

• Advanced Tableau or Power BI certification.
• Deep experience validating AI-generated insights in a regulated or clinical setting.

Responsibilities

• Architect and own end-to-end delivery of complex analytic solutions and semantic-layer views spanning multiple domains.
• Lead design reviews for dashboards and analytics; mentor junior and mid-level analysts on best practices, including safe use of AI copilots.
• Contribute to and help enforce team data-validation and quality-assurance standards.
• Own validation processes for AI-generated insights and narratives before they reach stakeholders.
• Partner directly with senior business and clinical stakeholders to translate ambiguous needs into technical designs.
• Build and support natural-language query interfaces on the semantic layer for broader self-service use.
• Set technical direction for the analytic area and mentor analysts.
• Occasionally present technical work to cross-functional groups of 5–10 people.

Benefits

• Annual bonus or incentives may be included in the compensation package.
• Equity awards may be included in the compensation package.
• Employee Stock Purchase Plan (ESPP).
• Rackspace refers applicants to information about its benefits, but specific additional benefits are not listed.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior