Happy Money is seeking a Data Analyst to join the Trading Analytics team. You will be responsible for developing, maintaining, and optimizing dashboards, datasets, and reporting tools that power company-wide decision-making. As the primary steward of the Superset BI platform, you’ll manage reporting infrastructure and ensure scalable access to insights.
What You'll Do
- 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.
What We're Looking For
- 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.
Nice to Have
- 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.
Technical Stack
- SQL, MySQL, Athena/Trino
- Superset, Tableau, Looker, Power BI
- Python, Streamlit, Dash
- AWS, Git, Kafka
Team & Environment
You will be part of the Trading Analytics team at Happy Money.
Benefits & Compensation
- Salary starting at $115,000.
Work Mode
This is a remote position. Candidates based in San Francisco, CA are welcome.
Happy Money 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.
