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Data Analyst - Ohio - Equity Options

Apex Financial Analytics
Columbus
Estimated Salary
USD 80.000 – USD 110.000
Live Update
8 Juli 2026
Deadline
8 Jul 2027

Job Description

We are seeking a highly skilled and analytical professional to join our growing team in Columbus, Ohio. As a Data Analyst, you will play a critical role in interpreting complex datasets to drive investment strategies and optimize our equity options portfolio. We are committed to fostering a collaborative environment and offer a competitive compensation package that includes equity options.

In this role, you will bridge the gap between raw data and strategic decision-making, ensuring our financial models are robust and our reporting is transparent. If you are passionate about data integrity and have a knack for uncovering insights that matter, we want to hear from you.

Responsibilities

  • Perform rigorous data analysis on equity option trading data to identify trends, risks, and growth opportunities.
  • Design and maintain interactive dashboards (Tableau/Power BI) to visualize complex financial metrics for stakeholders.
  • Collaborate with the finance and trading teams to develop predictive models and scenario analysis tools.
  • Ensure the accuracy and consistency of data across all reporting systems and databases.
  • Create comprehensive reports and executive summaries that translate technical findings into actionable business insights.
  • Automate data extraction and processing workflows to improve operational efficiency.

Qualifications

  • Bachelor’s degree in Finance, Mathematics, Statistics, or a related quantitative field.
  • 3+ years of professional experience as a Data Analyst, with a focus on financial data or equity markets.
  • Strong proficiency in SQL for data extraction, cleaning, and querying.
  • Experience with programming languages such as Python or R for data manipulation.
  • Expertise in data visualization tools (Tableau, Power BI, or Looker).
  • Excellent problem-solving skills and the ability to communicate complex data stories to non-technical audiences.

Required Skills

SQL Python Tableau Power BI Financial Modeling Equity Analysis Data Visualization Excel

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