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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