Analytics Engineer

About Our Client:Swish Analytics operates in the sports analytics, betting, and fantasy sports sector. The organization focuses on addressing the challenge of oddsmaking by applying engineering, mathematics, and sports betting expertise rather than relying on intuition. It develops predictive real-time sports analytics data products aimed at multiple industries and consumer and enterprise clients. About the Opportunity:The ANALYTICS ENGINEER is responsible for supporting the Suspensions team, which manages the framework and analysis for market suspensions and resumptions throughout sports events. This role contributes by investigating incidents, maintaining system health metrics, improving core tooling, and collaborating across teams to ensure accurate suspension processes. The position plays a key role in enabling real-time event-driven data processing and maintaining system reliability during live gameplay. Responsibilities:Investigate incidents and requests end-to-end using raw production data to determine root causes and recommend solutionsBuild and maintain metrics to measure system health and performance using statistical methodsEnhance the team's core framework and tooling to make investigations and measurements more repeatableOperate independently on ambiguous problems and engage cross-functional partners as neededWork with real-time, event-driven data to reconstruct and explain system behavior during live events Requirements:Bachelor's Degree in Computer Science, Statistics, Data Science, or a similar fieldAt least 4 years of professional software engineering experience with production systemsMinimum 2 years of Python experience including data extraction, wrangling, and analysisAt least 1 year of Rust experience in a production environmentExperience developing software that runs in production with real-world dataStrong SQL skills and experience working with raw data sources such as logs and event streamsAbility to independently solve open-ended problems and coordinate with relevant teamsStrong statistical and quantitative reasoning skills to build defensible measures of system behavior Preferred:Experience with event-driven or real-time data systems (e.g., Kafka)Background in analytics engineering, applied statistics, or hybrid data/software rolesExposure to sports, sports betting, or trading concepts (not required) Pay Range and Compensation Package:Base salary starting at $150,000, dependent on experience Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin. Note:RemoteHunter is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.