Advanced Analytics Lead, Competitive Insights
About the Role
We are seeking an Advanced Analyst to support the Competitive Insights product line for a six-month contract engagement. The work centers on a single core question: is the business competitively priced? You will partner with cross-functional stakeholders to define metrics and dimensions, code them into automated metrics pipelines, and surface insights that inform pricing and competitive strategy. This is primarily internal-facing work, though some insights are shared externally with hosts. Important to note: this is not a product analytics or product data science role. The analyst will not work directly with product managers iterating on features. The focus is on the competitive insights data and pipeline work itself, plus clear communication of findings to senior partners. The right person is a self-starter who can ramp quickly, work independently without hand-holding, and demonstrate initiative. They are equally comfortable writing SQL, building and maintaining metrics pipelines, and putting together polished slides for senior audiences. A Typical Day Define metrics and dimensions in partnership with cross-functional stakeholders, focused on competitive pricing and insights Build and maintain metrics pipelines, coding new metrics into automated pipelines using internal data infrastructure Onboard new metrics into the team's pipeline tooling, working independently to learn and apply new internal systems and skills as needed Generate interactive dashboards and analyses using AI tooling (e.g., Claude) to accelerate delivery Translate analytical findings into clear narratives and slide presentations for senior partners Share competitive insights internally and, where appropriate, surface insights for hosts Skills Your Expertise: Strong SQL (must-have): Expert-level SQL ability. Candidates should expect a challenging SQL round in interviews, with high standards on metric definition logic and edge-case handling Hands-on experience with metrics pipeline development: building metrics and dimensions, and coding them into automated pipelines Familiarity with large metric pipeline infrastructures and the ability to integrate with internal data pipeline tooling Proficiency in at least one programming language beyond SQL. The specific language is flexible (Python, R, or others); what matters is the demonstrated ability to pick up new skills quickly and independently Contextual familiarity with A/B testing and statistical data analysis. This will not be heavily tested in interviews, but awareness is needed because experimentation is part of the broader team's work AI tools (must-have): Comfort using Claude or other AI tools as a regular part of the workflow. Experience generating interactive dashboards with Claude is especially valuable; the team is a heavy adopter of AI tooling and the new hire is expected to be the same Excellent communication skills, with the ability to work with cross-functional stakeholders and present complex analytical work to senior partners Self-starter mindset: able to operate independently, demonstrate initiative, and drive work forward without hand-holding Strong slide and presentation skills, with the ability to communicate clearly to broad and senior audiences Required: Prior experience at a tech, marketplace, or comparable company with mature metric pipeline infrastructure. Other industries are welcome, but candidates should be ready to demonstrate they can integrate with large pipeline environments Track record of metric definition, pipeline ownership, and stakeholder communication on internal-facing analytics work Bachelor's degree in a quantitative field (e.g., Statistics, Econometrics, Computer Science, Engineering, Mathematics, Data Science, Operations Research) is sufficient. Master's or PhD is a plus. Key Details Location: Remote Start Date: May 2026 Duration: 6 months Work Schedule: Full-time, 40 hours per week (8 hours/day, 5 days/week) Pay Rate Range: $100-$128 per hour Position Type: Contract Apply To This Job