CelebriOS is looking for a Data Analyst to transform business data into clear, actionable insights. You will partner with teams across the organization to define metrics, create reporting and investigate questions affecting customers and business performance.
ResponsibilitiesGather and analyze data from multiple sources.
Write SQL queries and validate the accuracy of results.
Build dashboards and recurring reports.
Define and document business metrics.
Investigate trends, anomalies and performance changes.
Translate analysis into practical recommendations.
Present findings to technical and nontechnical stakeholders.
Improve data quality and reporting processes.
Support experiments, forecasting or operational planning as required.
2+ years of experience in data analysis, business intelligence or a related field.
Strong SQL and spreadsheet skills.
Experience with Tableau, Power BI, Looker or a similar platform.
Understanding of descriptive statistics and data visualization.
Ability to explain complex findings clearly.
Strong attention to data accuracy.
Experience with Python or R.
Familiarity with data warehouses and analytics engineering.
Knowledge of experimentation, product analytics or forecasting.
Experience in tech or consumer platforms.
Submit your resume and optional examples of dashboards, reports or analytical projects. The interview process includes a recruiter screen, a technical/SQL exercise, and a final stakeholder interview.
CelebriOS is an equal-opportunity employer.
Benefits and PerksBenefits
Health, dental and vision coverage; flexible PTO; 401(k); home-office equipment stipend; annual learning and development budget.
Job OverviewLocation: Remote
Skills Required
- 2+ years of experience in data analysis, business intelligence or a related field
- Strong SQL skills
- Strong spreadsheet skills (e.g., Excel, Google Sheets)
- Experience with Tableau, Power BI, Looker or a similar BI platform
- Understanding of descriptive statistics and data visualization
- Ability to explain complex findings clearly to technical and nontechnical audiences
- Strong attention to data accuracy
- Experience with Python or R
- Familiarity with data warehouses and analytics engineering
- Knowledge of experimentation, product analytics or forecasting
- Experience in tech or consumer platforms
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