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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and sports betting expertise; not intuition. We deliver odds origination, risk management & trading software for the core four U.S. sports.

Company Overview
Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports data products. We believe that oddsmaking is a challenge rooted in engineering, mathematics, and deep domain expertise—not intuition. We're looking for team-oriented individuals with a passion for real-time data and business insight who thrive in fast-paced, creative environments. Our work spans uncharted territory, and we value candidates who are excited about scaling reliable systems and tools that inform decision-making across internal teams and enterprise partners.

Job Description
Swish Analytics is seeking a Data Analyst to join our Trading Analytics team. This individual will be responsible for developing, maintaining, and optimizing the dashboards, datasets, and reporting tools that power decision-making across the company. As the primary steward of our Superset BI platform, you will manage reporting infrastructure, support cross-functional teams, and ensure reliable and scalable access to insights for our trading, product, and leadership teams. This is a remote position.

Responsibilities

• Own and manage the full lifecycle of dashboards and reporting assets within Superset, including design, development, documentation, and user access

• Partner with stakeholders in Trading, Product, and Engineering to define and deliver KPIs, metrics, and data visualizations

• Build and maintain SQL-based datasets and derived tables to power reporting tools

• Develop and maintain analyses around trading performance, pricing accuracy, and KPI reporting

• Monitor the health and quality of data assets across pipelines and reporting layers

• Support internal users in interpreting data, self-serving insights, and building lightweight reporting artifacts

• Perform QA on datasets, validate dashboard accuracy, and respond to ad hoc analytical requests

• Identify opportunities for standardization, automation, and improved reporting workflows

• Monitor report usage and contribute to BI governance and best practices

Requirements

• Bachelor's degree in Analytics, Statistics, Data Science, Computer Science, or a related field

• 2–3 years of experience in a BI, analytics, or data analyst role

• Strong proficiency in SQL (preferably MySQL or Athena/Trino)

• Experience building and maintaining dashboards in Superset or similar BI platforms (e.g., Tableau, Looker, Power BI)

• Experience with Python for data analysis, QA automation, and building lightweight applications (e.g., Streamlit, Dash)

• Experience working in cloud data environments (AWS preferred)

• Experience working with Git and familiarity with Git-based workflows

• Strong analytical thinking and ability to communicate insights clearly to both technical and non-technical audiences

• Comfortable operating autonomously in a fast-paced and dynamic environment

Preferred Qualifications

• Experience with sports, trading, or fintech data environments

• Exposure to real-time or streaming data tools (e.g., Kafka)

• Familiarity with OLAP systems and dimensional modeling

• Experience working cross-functionally with data engineers, product managers, and end users

Base salary: Starting at $115,000

Swish Analytics is an Equal Opportunity Employer. All candidates who meet the qualifications will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, pregnancy status, genetic, military, veteran status, marital status, or any other characteristic protected by law. The position responsibilities are not limited to the responsibilities outlined above and are subject to change. At the employer’s discretion, this position may require successful completion of background and reference checks.