Advanced Analyst, Host Product

Maleda Tech
$110 - $128Remote

About The Position

We're looking for an Advanced Analyst to serve as a senior analytics partner for a fast-moving, host-facing product organization. In this role, you'll drive high-impact analysis, experimentation, and reporting that directly shapes product strategy and execution. This is a hands-on, execution-focused engagement for someone who thrives operating independently and delivering polished, high-quality work on tight timelines.

Requirements

  • 5+ years of experience in advanced analytics, data science, or applied quantitative analysis (industry experience required)
  • Strong hands-on expertise in SQL and at least one programming language (Python or R)
  • Proven experience designing and analyzing A/B experiments and applying statistical methods to real-world product problems
  • Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines
  • Strong analytical judgment, with the ability to balance rigor with speed and clearly communicate tradeoffs
  • Demonstrated ability to operate independently, manage multiple priorities, and deliver against agreed timelines
  • Strong stakeholder communication skills, with the ability to translate complex analyses into actionable insights

Nice To Haves

  • Experience in marketplace, product analytics, or business strategy contexts
  • Familiarity with AI-assisted analytics workflows

Responsibilities

  • Own and deliver advanced analytics across defined product and business domains
  • Work with large, complex datasets to answer high-priority business and product questions using statistical, causal, and exploratory techniques
  • Design, execute, and analyze experiments (A/B tests and quasi-experiments) to measure feature impact and inform product iteration
  • Develop and validate metrics and dimensions to monitor product performance and business outcomes
  • Build and maintain analytical artifacts - queries, dashboards, and readouts - that enable stakeholders to make informed decisions
  • Partner closely with Product, Engineering, Finance, Data Science, and Analytics teams to align on methodology, assumptions, and interpretation
  • Deliver clear, concise insights and recommendations through written and verbal communication, including leadership-ready readouts
  • Leverage AI-assisted tools to increase efficiency and automate repetitive analytical tasks where appropriate
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