Analytics Engineer

🔥 13 hours ago

🏄 California – Remote

🏄 California – Remote

💵 $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Swish Analytics

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2014

💼 Consulting

📣 Marketing

🎲 Gambling

💰 $6.9M Series B - Swish Analytics on 2019-05

Consulting • Marketing • Gambling

Swish Analytics is a machine-learning driven sports-odds and predictive-data company that builds a real-time odds origination engine for sportsbooks and fantasy platforms. It provides hyper-accurate player prop pricing, match and team markets, in-play and pre-game projections, and automated bet-lifecycle management to power bookmaking, bet builders, parlays, and micro-markets. Swish positions itself as a B2B provider focused on automation, accuracy, and scalable odds infrastructure for the sports betting industry.

📋 Description

• Investigate individual incidents and requests end-to-end using raw production data and systems to determine root cause and recommend resolution • Build and maintain metrics measuring system health and performance over time using statistical methods • Produce clear descriptive reporting for stakeholders • Contribute to the team's core framework and tooling to make investigation and measurement more repeatable • Operate independently on ambiguous, partially-scoped problems • Identify and collaborate with data science, engineering, and trading partners when problems cross team boundaries • Work 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 similar major • Minimum of 4 years of professional software engineering experience, including production systems • Minimum of 2 years of experience with Python, including data extraction, wrangling, and analysis • Minimum of 1 year of experience with Rust in a production environment • Experience building and maintaining software that runs in production against real-world data — not just prototypes, one-off scripts, or notebook-based analysis • Strong SQL skills and direct experience working with raw/source data (logs, event streams, production tables) • Experience taking on open-ended problems with limited upfront direction • Genuine statistical/quantitative reasoning skills • Experience with event-driven or real-time data systems (preferred) • Background in analytics engineering, applied statistics, or a hybrid data/software role (preferred) • Exposure to sports, sports betting, or trading concepts (helpful, not required)