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Senior Analytics Contractor, Product Analytics

🕒 2 days ago
SQLPythonA/B TestingQuasi-experiments
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📜 Description

  • Deliver advanced analytics for product and business domains using large, complex datasets.
  • Design and analyze A/B tests and quasi-experiments to measure feature impact and inform product iteration.
  • Develop and validate metrics to monitor product performance and business outcomes.
  • Build and maintain queries, dashboards, and analytical readouts for stakeholder decisions.
  • Partner with Product, Engineering, Finance, Data Science, and Analytics teams on methods and interpretation.
  • Communicate actionable insights and recommendations, and use AI-assisted tools to automate repetitive analysis where appropriate.

🛠️ Requirements

  • 5+ years of industry experience in advanced analytics, data science, or applied quantitative analysis
  • 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 work independently, manage multiple priorities, and deliver against agreed timelines
  • Strong stakeholder communication skills, with the ability to translate complex analyses into actionable insights
  • Experience in marketplace, product analytics, or business strategy contexts
  • Familiarity with AI-assisted analytics workflows
Full job description

About the Role

Maleda Tech is seeking a Senior Analytics Contractor to partner with product and business teams supporting a consumer-facing mobile app within a global marketplace. In this hands-on, execution-focused role, you will deliver high-impact analysis, experimentation, and reporting that directly shapes product strategy and decision-making. You will operate independently, collaborate closely with cross-functional stakeholders, and deliver high-quality outputs on defined timelines during a period of accelerated analytics demand.

Key Responsibilities

  • Own and deliver advanced analytics for 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, readouts) that enable stakeholders to make informed decisions
  • Partner with Product, Engineering, Finance, Data Science, and Analytics teams to align on methodology, assumptions, and interpretation
  • Communicate clear, concise insights and recommendations in writing and verbally, including leadership-ready readouts
  • Use AI-assisted tools to increase efficiency and automate repetitive analytical tasks where appropriate

Qualifications

Required

  • 5+ years of industry experience in advanced analytics, data science, or applied quantitative analysis
  • 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 work independently, manage multiple priorities, and deliver against agreed timelines
  • Strong stakeholder communication skills, with the ability to translate complex analyses into actionable insights

Preferred

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

Key Details

  • Start Date: November 3, 2026
  • Duration: Approximately 11 weeks (through January 20, 2027)
  • Location: Remote (within the U.S.)
  • Work Schedule: Full-time, 40 hours per week
  • Pay Rate: $110 - $128/hour + benefits
  • Work Authorization: Must be authorized to work in the U.S. without sponsorship.
  • Engagement: W-2 Contract
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