Full-Time

Customer Success Associate

Posted on 9/10/2025

Swish Analytics

Swish Analytics

51-200 employees

Data analytics for sports betting predictions

Compensation Overview

$50k - $60k/yr

Remote in USA

Remote

Position is 100% remote but intended for candidates in the United States, East Coast.

Category
Sales & Account Management
Required Skills
Data Analysis
Requirements
  • Bachelor’s Degree in Business, Data Analytics, Sports, or a similar fields
  • 2+ years’ of relevant work experience in a customer experience position, ideally in a B2B company.
  • Strong written and verbal communications/presentation skills
  • Ability to comprehend client inquiries and convey solutions on the fly
  • Understanding of sports betting and fluency in sports betting odds
  • Passion and knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball + Football
  • Results driven work ethic – focused on improving processes and results
  • Availability to work flexible schedules, including nights, weekends and/or holidays
Responsibilities
  • Establish yourself as an expert and communicator of Swish’s products and services
  • Manage day-to-day inbound client inquiries over Slack, email and video conferencing
  • Identify customer pain points and proactively reach out with solutions for clients
  • Communicate relevant inquiries and tasks with Swish Trading, Product, Engineering and Data Science teams.
Desired Qualifications
  • Sports betting industry experience
  • Experience working with cross functional teams (Engineering teams a plus)
  • Experience working with API-oriented products

Swish Analytics provides data analytics for sports betting and daily fantasy sports, offering algorithm-driven predictions and tools to help operators and bettors identify value bets and optimize ROI. Its product suite ingests sports data, runs predictive models, and delivers insights through configurable dashboards and subscription-based analytics for leagues such as NBA, NFL, MLB, and NHL. A key differentiator is an Authorized MLB Data Distributor partnership, along with customizable data-led tools for both betting operators and sports enthusiasts. The goal is to help users make smarter bets and informed decisions by delivering accurate data-driven insights that improve ROI and support reliable predictive analytics in the sports betting and fantasy space.

Company Size

51-200

Company Stage

Early VC

Total Funding

$6.7M

Headquarters

San Francisco, California

Founded

2014

Simplify Jobs

Simplify's Take

What believers are saying

  • Injury prediction models integrate real-time data for player prop pricing advantages.
  • In-play betting tools capture market share with real-time odds adjustments.
  • International expansion adds soccer and esports models for global B2B revenue.

What critics are saying

  • BetBuckets MLB partnership erodes licensing model in 6-12 months.
  • Numberfire ESPN integration outcompetes accuracy in 12-18 months.
  • OpenAI models commoditize NBA data edge in 18-36 months.

What makes Swish Analytics unique

  • Swish Analytics boasts 67% prediction accuracy and 7% ROI via proprietary NBA data since 2013.
  • BetBuckets delivers algorithm-driven NBA predictions outperforming numberfire's 62% accuracy.
  • MLB partnership and Sacramento Kings clients enable authorized data distribution to operators.

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Benefits

Remote Work Options

Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

6%

2 year growth

7%
Next
Dec 30th, 2024
Swish Analytics sues OddsJam and OpticOdds over alleged data theft

Swish Analytics sues OddsJam and OpticOdds over alleged data theft.

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Dec 30th, 2024
Swish Analytics Alleges $100M Loss in Lawsuit Against OddsJam

Swish Analytics, a leader in sports analytics, has initiated a legal battle against OddsJam and OpticOdds, accusing them of misappropriating proprietary sports betting odds data.

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