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Marketplace Business Analyst, InfoTrack Exchange

InfoTrack US
CompanyInfoTrack US
CategoryConsulting & Strategy
LocationUnited States
RemoteRemote
EmploymentFull-time
LevelNot stated
SalaryNot stated by the employer
Posted21 Jul 2026
Last verified11 Aug 2026
SourceEmployer ATS (workable)
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Description
About the role As a Marketplace Business Analyst, you will own the data and analytics foundation that supports InfoTrack Exchange’s supply-side marketplace. You will connect operational data from ServeManager and Snowflake with strategic decision-making related to geographic expansion, partner agency recruitment, coverage reporting, and goal tracking. Combining strong business analysis with hands-on analytics engineering, you will turn complex data into actionable insights and build reliable reporting solutions that make information accessible, accurate, and trusted across the organization. This is a remote role that may be performed from an approved location within the United States. Compensation This role offers a competitive compensation range of $95,000 to $160,000 depending on experience, skills, and internal equity. About InfoTrack InfoTrack is a platform that seamlessly connects law firms to the courts and to the services that they need to litigate successfully. We're global leaders in legal technology with unparalleled expertise in forging integrations that can drastically improve the efficiency of law firms and the legal system. As a highly ambitious company, we know that our people are critical to our success. That's why we're passionate about fostering a high-performance culture built on professional development, open communication, and transparent leadership. If you're smart, dedicated, and eager to help build a market-leading solution that makes a difference in the lives of our clients, join us. What You'll Do: Build and maintain reporting for InfoTrack Exchange’s supply-side marketplace, including county-level coverage, agency performance, service-level agreement compliance, and business intelligence dashboards. Own and maintain the partner agency data model, replacing manual spreadsheets with an integrated view of agency status, volume, tier, coverage area, and pipeline stage. Partner with Operations to standardize agency sourcing and qualification processes and create pipeline visibility that supports proactive recruitment in new markets. Develop financial and operational models to guide geographic expansion decisions, including market sizing, coverage gap analysis, and agency capacity modeling for current and future markets. Collaborate with Engineering and Business Intelligence teams to transform ad hoc Snowflake queries into reliable, governed reports and contribute to data model documentation and schema design. Define, track, and report on key performance indicators and product initiative success metrics, presenting coverage and performance insights to leadership. Conduct data quality audits, identify gaps between operational systems and reporting, and drive solutions that improve data accuracy, consistency, and integrity. Requirements Four or more years of experience in business analysis, product analytics, revenue operations, or strategy and operations, preferably within a marketplace, platform, or operations-intensive environment. Strong SQL skills, including experience writing queries, working with joins and aggregations, and navigating unfamiliar database schemas. Experience building and maintaining dashboards using Looker, Tableau, Microsoft Power BI, or a comparable business intelligence tool. Strong business analysis skills, including defining key performance indicators, developing financial models, conducting market sizing, and preparing concise, actionable business recommendations. Ability to work effectively in ambiguous environments by defining business questions, identifying relevant data, and developing analytical solutions. Strong written communication skills, with the ability to clearly present insights and recommendations to technical and non-technical stakeholders. Experience contributing to data model design and collaborating with Engineering to develop reliable reporting structures is preferred. Experience with dbt, Snowf