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.
- 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.
- Experience in marketplace, product analytics, or business strategy contexts.
- Familiarity with AI-assisted analytics workflows.
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)
Skills Required
- 8+ years of experience in advanced analytics, data science, or applied quantitative analysis (industry experience required)
- Strong hands-on expertise in SQL
- Proficiency in at least one programming language (Python or R)
- Proven experience designing and analyzing A/B tests and applying statistical methods
- Experience building metrics end-to-end, including definitions, validation, and implementation in data pipelines
- Strong analytical judgment, ability to balance rigor with speed, and clear communication of tradeoffs
- Ability to operate independently, manage multiple priorities, and deliver against timelines
- Strong stakeholder communication skills and leadership-ready written and verbal presentations
- Experience in marketplace, product analytics, or business strategy contexts
- Familiarity with AI-assisted analytics workflows
What We Do
Maleda Tech is a global contingent workforce solutions provider that offers Employer of Record (EOR) and Managed Service Provider (MSP) services. The company specializes in connecting highly skilled IT professionals from the US and Africa with clients, operating as a minority-owned business enterprise. They focus on building and fixing contingent workforce programs for companies across three continents, leveraging a diverse, global talent pool to meet technical staffing needs.








