Senior Data Analyst at SKIMS focused on enhancing data - driven strategies for global growth. Partnering with key business functions to provide actionable insights and optimize analytics processes.
About the role
- Senior Data Analyst optimizing RADAR’s platform across pilot and fleet deployments. Collaborating with engineering and customer teams to improve performance and customer success.
Responsibilities
- This role leads the optimization and post-go-live integration of RADAR’s platform across pilot and fleet deployments.
- You will act as the main liaison between RADAR’s engineering organization and retail customers, ensuring ongoing success and scale of the solution.
- You will collaborate cross-functionally to surface performance issues, quantify performance, and implement improvements to maximize value for the customer.
- Complete onboarding with Customer Solutions, Engineering, and Customer Experience teams.
- Review RADAR’s solution architecture and integrations with fleet and pilot customers.
- Analyze current QA and monitoring to identify key improvement opportunities.
- Conduct stakeholder interviews to document known pain points.
- Shadow current engagements to understand the flow of feedback, escalation and remediation.
- Design and validate QA scenarios for field testing during and after deployment of new features and customers.
- Collaborate with engineering and Customer Experience to support field testing.
- Collaborate with engineering and product to triage known and new performance issues.
- Contribute to cross-functional workshops focused on customer success.
- Drive iteration on solution components based on system performance and customer feedback.
- Create baseline dashboards to visualize key health and performance metrics.
- Formalize a playbook for system issue detection and remediation.
- Begin mentoring newer team members on performance troubleshooting and analysis.
Requirements
- You are proficient in performing SQL queries, working with big data and creating simple Python scripts to perform data analysis.
- 2–5 years of experience as a Data Analyst, preferably in retail, e-commerce, or consumer analytics.
- You have demonstrated success working cross-functionally across engineering and customer teams.
- You have strong analytical, documentation, and stakeholder communication skills.
- You have a background in retail, including one or more of the following: Inventory Management, retail technology deployment, Solutions Associate, or IT Systems/Information Management.
- You have a Lean or Six Sigma training.
- You have a Bachelor's degree in Business, Engineering, Computer/Data science or related field.
Benefits
- equity
- comprehensive medical and dental coverage
- life and disability benefits
- 401k plan
- flexible time off
- paid parental leave
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