Easy Apply
Easy Apply
As a Data Analyst, you'll develop and manage dashboards in Superset, build SQL datasets, analyze trading performance, and support cross-functional teams.
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.Top Skills
Athena
AWS
Git
Looker
MySQL
Power BI
Python
SQL
Superset
Tableau
Trino
Similar Jobs
Big Data • Transportation • Analytics • Big Data Analytics
The Data Analyst Intern will optimize digital advertising campaigns by analyzing performance data, collaborating with teams, and implementing A/B testing strategies.
Top Skills:
AIExcelMachine LearningPythonSQL
Fintech • Financial Services
As a Lead Data Analyst, you'll leverage data insights to drive business outcomes, partner with departments on data needs, and create dashboards and tools using various technologies.
Top Skills:
DbtExcelGitPythonSalesforceSnowflakeSQLTableau
eCommerce • Healthtech • Kids + Family • Retail • Social Media
The Senior Data Analyst will enhance CRM and Lifecycle initiatives through data analysis, campaign design, and experimentation, driving user engagement and business outcomes.
Top Skills:
Ai ToolsBrazeCustomer.IoIterableKlaviyoSalesforce Marketing CloudSQL
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
