
Data Analyst
Talent Inc.
full-time
Posted on:
Location Type: Remote
Location: United States
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About the role
- Identify growth opportunities and business problems, quantify impact, and help prioritize what to build next.
- Own analytics projects end-to-end: requirements → implementation → rollout → stakeholder adoption.
- Build and expand KPI reporting: define missing metrics, create dashboards, and measure new feature impact.
- Build and maintain the analytics stack: connect data sources, manage ELT/pipelines, and develop dbt models/marts.
- Investigate metric drops/spikes, find root causes, and turn findings into actionable recommendations.
- Product & marketing analytics: analyze funnels, activation/retention, feature performance, plus acquisition channels, attribution, and campaign performance.
- Ensure data reliability by implementing tests, monitoring, and documentation.
- Support experimentation: partner with the Product team to design experiments, monitor results, and evaluate impact.
Requirements
- 3+ years in Product/Data Analytics, Analytics Engineering, or a similar role (ideally B2C/SaaS).
- Strong SQL and hands-on dbt (models, tests, docs).
- Python for analysis and automation.
- End-to-end data delivery skills: connect sources when needed, build production-ready pipelines, and design layered dbt models (staging, intermediate, marts).
- Product analytics fundamentals: funnels, cohorts, retention/activation, segmentation, A/B testing basics.
- Ownership mindset: you can take ambiguous requests, define success metrics, deliver a solution, and drive decisions.
- Engineering mindset: Git, code reviews, clean code, testing, and documentation.
- Strong stakeholder communication: align stakeholders, explain complex topics simply, and write clear documentation.
- Experience with BI tools (Looker/Tableau/Power BI/Metabase or similar).
Benefits
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdbtPythondata deliverydata pipelinesKPI reportingA/B testingdata analysisdata modelingdata monitoring
Soft Skills
ownership mindsetengineering mindsetstakeholder communicationproblem-solvinganalytical thinkingactionable recommendationscollaborationdocumentationexperiment designimpact evaluation