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Advanced Analyst

Role overview

Qualifications

  • 8+ years of 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
  • Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines

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
  • Design, execute, and analyze experiments to measure feature impact and inform product iteration
  • Develop and validate metrics and dimensions to monitor product performance and business outcomes

About the company

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Our Team!

Staffing & Recruiting

Maleda Technologies is a minority-owned company based in California that specializes in connecting highly skilled IT professionals from the US and Africa with different clients working in Silicon Valley, and beyond.

Company details

IndustryStaffing & Recruiting
Company size11 - 50

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Job description

About the Role

We are seeking an Advanced Analytics Contractor to serve as a senior analytics partner supporting product and business decision-making across a Host App and Marketing organization. In this role you will deliver high-impact analysis, experimentation, and reporting that directly shapes product strategy and execution. This is a hands-on, execution-focused engagement created to accelerate progress on critical analytics needs during a period of constrained capacity. You will operate independently, partner closely with cross-functional stakeholders, and deliver high-quality outputs on defined timelines.

What You'll Do

  • Own and deliver advanced analytics for defined product and business domains within the Host App and Marketing space.
  • 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.
  • Provide 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.

Qualifications

  • 8+ 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.


    Preferred Qualifications

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

    Key Details

    • Start Date: August 2026

    • Contract Duration: Approximately 4 months, through December 31, 2026, with possibility of extension

    • Schedule: Full-time, 40 hours per week

    • Location: Remote, aligned to Pacific Time.

    • Compensation: $85 - $110 per hour (W2)

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    MR

    Marcus Rivera

    Chief Revenue Officer

    m.rivera@company.com
    linkedin.com/in/marcusrivera
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