Advanced Analyst, Quality – Blueprint

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🕒 May 30

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Maleda Tech

WebsiteLinkedInAll Job Openings

11 - 50 employees

🎯 Recruiter

👥 HR Tech

🤝 B2B

Recruitment • HR Tech • B2B

Maleda Tech is a global contingent workforce solutions provider offering Employer of Record (EOR) services, Managed Service Provider (MSP) programs, Vendor Management System (VMS) implementation, staff augmentation, recruiting, strategic sourcing, tail spend management, and legal/contract operations. They position themselves as a personalized, boutique partner focused on risk compliance and efficient hiring, with an emphasis on diversity (committed to recruiting at least 85% of employees from diverse backgrounds). The company also runs immersive training and mentorship programs to build candidate pipelines and has operations in the Bay Area (California, US) and Addis Ababa (Ethiopia).

📋 Description

• Conduct strategic deep dives into customer experience drivers (cleanliness, check-in, communication, etc.) covering symptom, root cause, and recommended intervention. • Design, execute, and analyze A/B tests and quasi-experiments to measure the impact of quality and blueprint initiatives, with sharp attention to two-sided marketplace nuances. • Build and apply causal inference frameworks (diff-in-diff, synthetic controls, propensity matching) to estimate the true impact of product, policy, and operational changes. • Leverage LLMs and AI-assisted analytics to extract structured insights from unstructured data and scale root-cause taxonomy generation across millions of trips. • Develop and validate metrics that monitor customer experience health and surface emerging quality issues. • Build and maintain analytical artifacts (queries, dashboards, readouts) that let stakeholders self-serve. • Translate complex analyses into clear, concise insights and recommendations for senior leadership.

🎯 Requirements

• 8+ years of industry experience in advanced analytics, data science, or applied quantitative analysis. • Strong hands-on SQL and at least one of Python or R. • Proven track record designing and analyzing A/B experiments in a product context. • Product analytics chops on both sides: building dashboards/visualizations AND explaining the underlying data to non-technical stakeholders. • Excellent communication and stakeholder relationship management. • Ability to operate independently and own work end-to-end.