Advanced Analyst, Quality & Blueprint

Maleda Tech

5d • Remote

About The Position

Maleda is recruiting an Advanced Analytics Contractor on behalf of a major tech client to embed with their Quality & Blueprint team. This team sits at the center of how the company understands and improves its customer experience. You will partner with Product, Engineering, Operations, and Finance to identify where the experience is breaking down, diagnose root causes, and recommend interventions that shape both leadership strategy and product squad decisions. This is a hands-on, execution-focused role designed to maintain coverage while team members are on leave or rotated to other projects.

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.

Nice To Haves

• Prior experience as a Data Scientist (or equivalent) at a peer consumer tech company.
• Background working on two-sided marketplaces.
• Experience in platform-oriented analytics areas such as payments, trust & safety, fraud, or customer experience.
• Familiarity with causal inference methods and AI-assisted analytics workflows.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed