Sr. Data Analyst

2 months, 3 weeks ago
Full-time
Mid Level
Data Science and Analytics

Rockstar

Rockstar is a platform that connects top talent with companies, helping individuals land roles that accelerate their careers. They focus on roles that offer competitive cash and the opportunity to impact the trajectory of the business.

Professional Services
1-10

Description

  • Own cross-functional analytics projects from discovery through delivery in partnership with Operations, Sales, Finance, Product, Member Experience, and leadership teams.
  • Design, build, test, document, and maintain dbt models that turn raw source data into reliable, reusable, analytics-ready datasets.
  • Use advanced SQL in BigQuery to investigate complex questions, optimize queries, validate data, and support production reporting.
  • Build and maintain dashboards, reports, semantic definitions, and self-service analytics experiences in Omni and/or Power BI.
  • Define, reconcile, and document business metrics so stakeholders have a consistent understanding of what the data means.
  • Monitor and troubleshoot data quality issues, including pipeline failures, freshness problems, schema changes, source inconsistencies, and reporting defects.
  • Translate ambiguous business needs into clear analytical requirements and practical data deliverables.
  • Deliver analysis and reporting that support operational performance, sales effectiveness, member experience, financial visibility, and leadership decisions.
  • Use Claude and other AI tools to accelerate analysis, SQL development, documentation, QA, and workflow automation while validating outputs.
  • Contribute to data team standards for naming conventions, documentation, QA practices, metric governance, dbt structure, and BI usability.

Requirements

  • Approximately 3–5 years of experience in analytics, business intelligence, data analysis, data engineering-adjacent work, operations analytics, or a related field; equivalent demonstrated capability will also be considered.
  • Strong SQL skills, including complex joins, CTEs, window functions, subqueries, performance-aware query design, and validation logic.
  • Experience building dashboards, reports, or self-service analytics assets for business users.
  • Experience translating business questions into analytical requirements and technical deliverables.
  • Strong understanding of data modeling concepts, including facts, dimensions, grain, metric definitions, and reusable transformation logic.
  • Ability to own projects independently while keeping stakeholders aligned.
  • Strong communication skills with both technical and non-technical audiences.
  • Excellent problem-solving skills and a proactive, solution-driven mindset.
  • Ability to thrive in a fast-paced, high-growth environment with multiple priorities.
  • Hands-on experience with BigQuery, dbt, Fivetran, Omni, Power BI, Looker, Tableau, or similar BI/ELT tools is preferred.
  • Experience designing semantic layers, certified datasets, governed metrics, or self-service reporting experiences is preferred.
  • Experience with insurance, healthcare, benefits, claims, commissions, billing, eligibility, carrier files, CRM, member, or agent data is preferred.
  • Familiarity with data governance, privacy, compliance, or regulated data environments is preferred.
  • Python or scripting experience is helpful, especially for automation, QA, or data validation, but is not required.
  • Experience using Claude, ChatGPT, or other AI tools to accelerate SQL development, documentation, QA, analysis, or workflow automation is preferred.
  • Comfort working with imperfect source data and creating clarity from ambiguity is preferred.

Benefits

  • Company-paid health, dental, life, and disability insurance.
  • 401(k) plan with employer match.
  • Opportunity for professional development.
  • Work-from-home allowance and support.
  • Positive work environment.
  • Remote, hybrid, or office-based flexibility where applicable.

Interested in this position?

Apply directly on the company website

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