Job Description
Are you a data-driven professional looking to make a high-impact contribution in the financial sector?
We are seeking a highly skilled Senior Data Analyst to join our dynamic team in Columbus, OH. In this role, you will leverage your expertise in equity options and market data to drive strategic decision-making and uncover actionable insights.
Our firm is committed to excellence, offering a competitive salary structure and a daily pay option for eligible team members. If you thrive in a fast-paced environment and are passionate about turning complex financial data into clear, actionable strategies, we want to hear from you.
Why Join Us?
- Competitive base salary with performance bonuses.
- Access to daily pay options for immediate financial flexibility.
- Comprehensive health, dental, and vision insurance.
- Professional development and certification reimbursement.
- A collaborative and inclusive corporate culture.
Responsibilities
- Conduct in-depth analysis of equity options data, pricing trends, and market volatility to support trading strategies and risk management.
- Develop and maintain complex data models and SQL queries to extract and process large datasets from various financial sources.
- Create compelling data visualizations and dashboards (using tools like Tableau or PowerBI) to communicate key findings to stakeholders.
- Identify patterns and anomalies in market data to forecast potential market movements and optimize portfolio performance.
- Collaborate with cross-functional teams, including traders and risk officers, to translate data insights into business recommendations.
- Ensure data integrity and compliance with financial regulations and internal data governance policies.
Qualifications
- Bachelor’s degree in Finance, Mathematics, Statistics, Computer Science, or a related field.
- 3+ years of professional experience in data analysis, specifically within the financial services or equity options sector.
- Proficiency in SQL (PostgreSQL, MySQL) and scripting languages such as Python or R.
- Experience with data visualization tools (e.g., Tableau, PowerBI, or Looker).
- Strong understanding of financial instruments, derivatives, and market mechanics.
- Excellent analytical problem-solving skills and attention to detail.
- Ability to work in a fast-paced environment and manage multiple priorities effectively.