Customer Success Associate

United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Sports Analytics, Betting, Fantasy Sports, Data ProductsIndustries

Requirements

Candidates must possess a Bachelor's Degree in Business, Data Analytics, Sports, or a similar field and have at least 2 years of relevant work experience in a customer experience position, preferably within a B2B company. Strong written and verbal communication and presentation skills are essential, as is the ability to comprehend client inquiries and convey solutions quickly. A solid understanding of sports betting and fluency in sports betting odds is required, along with a passion for and knowledge of the NBA, NFL, MLB, NHL, and NCAA Basketball and Football. A results-driven work ethic focused on process and result improvement is necessary, along with availability for flexible schedules including nights, weekends, and holidays. Preferred qualifications include sports betting industry experience, experience with cross-functional teams, and experience with API-oriented products.

Responsibilities

The Customer Success Associate will establish themselves as an expert and communicator of Swish's products and services. They will manage day-to-day inbound client inquiries via Slack, email, and video conferencing, identify customer pain points, and proactively reach out with solutions. This role also involves communicating relevant inquiries and tasks to the Swish Trading, Product, Engineering, and Data Science teams.

Skills

Customer Success

Client Inquiries

Slack

Video Conferencing

Problem-Solving

Communication

Presentation Skills

Sports Betting

NBA

NFL

MLB

NHL

NCAA Basketball

NCAA Football

API

B2B

Swish Analytics

Sports analytics and optimization tools provider

About Swish Analytics

Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.

San Francisco, CaliforniaHeadquarters

2014Year Founded

$6.5MTotal Funding

EARLY_VCCompany Stage

Fintech, AI & Machine Learning, Financial ServicesIndustries

51-200Employees

Benefits

Remote Work Options

Risks

Increased competition from AI-driven startups could erode Swish Analytics' market share.

Consumer privacy concerns may impact Swish Analytics' data collection practices.

Potential regulation of sports betting advertising could affect Swish Analytics' revenue streams.

Differentiation

Swish Analytics uses proprietary algorithms for accurate sports predictions and optimized lineups.

The company is an Authorized MLB Data Distributor, enhancing its credibility in sports betting.

Swish Analytics offers a subscription model with free trials, attracting diverse user segments.

Upsides

Increased legalization of sports betting in the U.S. expands Swish Analytics' market opportunities.

The rise of AI-driven personalized betting experiences aligns with Swish Analytics' machine learning expertise.

Growing interest in micro-betting offers Swish Analytics a chance to expand its offerings.

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