Performs advanced product and business analytics for a consumer mobile app, including experimentation, statistical analysis, metric development, dashboards, and leadership-ready insights. Partners with Product, Engineering, Finance, Data Science, and Analytics teams to guide strategy and feature iteration. Works independently with large datasets, communicates tradeoffs clearly, and uses AI-assisted tools to improve analytical efficiency.
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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