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
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Software • Biotech
Field-based sales role responsible for expanding SOPHiA GENETICS’ genomic solutions across Washington, Oregon, and Northern California. Develop new business, build relationships with oncologists, pathology teams, laboratories, and senior decision-makers, explain genomic testing value, address clinical and technical questions with subject-matter experts, and convert opportunities into bookings. Candidates need oncology or molecular diagnostics sales experience and knowledge of genomic biomarkers and treatment decision-making.
Top Skills:
AIBioinformaticsDna/Rna SequencingGenomic TestingSophia Ddm Platform
Machine Learning • Payments • Security • Software • Financial Services
Leads the design and development of software solutions, resolves complex technical problems, and provides guidance to engineering colleagues. Responsibilities include preparing technical documentation, reviewing code and testing, applying modern development methodologies, and supporting business initiatives. The role typically requires a bachelor’s degree and at least three years of relevant experience. Preferred skills include Agile, cloud computing, DevOps, requirements analysis, system design, and project management.
Top Skills:
Agile MethodologyCloud ComputingDevOps
Machine Learning • Payments • Security • Software • Financial Services
Manages the lifecycle of less complex merchant services products and initiatives, including product selection, design, development, pricing, promotion, rollout, and performance analysis. Builds business cases, evaluates market and technology trends, collaborates with sales, marketing, digital, and external partners, and supports risk, compliance, and audit activities. Uses customer insights and business results to recommend product improvements.
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute
