Swish Analytics · 21 hours ago
Data Analyst
Swish Analytics is a sports analytics startup focused on predictive sports data products. They are seeking a Data Analyst to develop, maintain, and optimize dashboards and reporting tools that support decision-making across the company.
AnalyticsBig DataFantasy SportsMachine LearningPredictive AnalyticsSports
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
Qualification
Required
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
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
Company
Swish Analytics
Swish Analytics operates as machine learning system for sports.
H1B Sponsorship
Swish Analytics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1)
2024 (1)
2022 (1)
2020 (1)
Funding
Current Stage
Growth StageTotal Funding
$8.73MKey Investors
Titanium Ventures
2019-05-29Series B· $6.91M
2018-07-03Series Unknown
2016-05-27Seed· $1.8M
Recent News
The Business Journals
2023-12-23
2023-08-17
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