Bachelor's degree or higher in Computer Science, Economics, Finance, Actuarial Science, Statistics, or Business
3+ years of professional experience
Proficient in Power BI or Tableau, Power Query, DAX and MS Excel
Proven experience in data intelligence projects and data modeling
Excellent attention to detail
Excellent verbal and written communication skills
Excellent time management skills
Self-driven and inquisitive with the ability to work independently
Knowledge of SQL and Python
Responsibilities
Lead the development and delivery of BI dashboards and presentations for senior stakeholders.
Architect scalable BI systems, including databases and automation frameworks.
Oversee data collection and ensure quality from internal and external sources.
Drive advanced data analysis to forecast outcomes and influence decisions.
Provide strategic recommendations to improve operational efficiency.
Manage validation and governance of BI tools for accuracy.
Establish standardized data models and reusable analytics assets.
Collaborate cross-functionally to align analytics with organizational goals.
Mentor junior analysts and promote best practices in data analysis.
Communicate insights and updates to stakeholders for data-driven decision-making.
Benefits
Medical, dental, and vision insurance
Commuter benefits
401(k) with employer match
16 days of PTO
Disability benefits
Paid parental leave
Catered lunches
Annual summer and winter events
Full Job Description
Job Title: Senior Data Analyst Location: Washington, D.C.; (Hybrid, after 90 days In-person) Status: Full-time; Exempt Reports to: Business & Data Analytics Manager Direct Reports: None Typical Work Hours: 8:30 a.m. to 5:00 p.m. Monday to Friday
Monex is looking for a Senior Data Analyst to lead the development and delivery of BI dashboards, reports, and presentations, translating complex financial and transactional data into strategic insights for senior stakeholders. This role will architect and optimize scalable BI systems, drive advanced data analysis to inform high-impact business decisions, and provide strategic recommendations that influence operational efficiency and performance across the organization. The ideal candidate will also help establish standardized data models and reporting frameworks, mentor junior analysts, and collaborate cross-functionally to align analytics initiatives with broader business goals.
Responsibilities
Lead the development and delivery of BI dashboards, reports, and presentations, translating complex financial and transactional data into strategic insights for senior stakeholders.
Architect and optimize scalable BI systems, including databases, data models, and automation frameworks aligned with business objectives.
Oversee data collection, transformation, and integration from internal systems and external sources (e.g., financial markets), ensuring data quality and consistency.
Drive advanced data analysis to identify trends, forecast outcomes, and inform high-impact business decisions.
Provide strategic recommendations to leadership, influencing operational efficiency and business performance.
Manage validation, testing, and governance of BI tools and datasets to ensure accuracy and reliability.
Establish and maintain standardized data models, reporting frameworks, and reusable analytics assets.
Collaborate cross-functionally (e.g., HR, IT, Sales Ops) to align analytics initiatives with organizational goals.
Mentor junior analysts and promote best practices in data analysis, visualization, and reporting.
Communicate insights, updates, and enhancements to stakeholders, enabling data-driven decision-making.
Required Qualifications
Bachelor's degree or Higher in Computer Science, Economics, Finance, Actuarial Science, Statistics, or Business
3+ years of professional experience
Proficient in Power BI or Tableau, Power Query, DAX and MS Excel
Proven experience in data intelligence projects and data modeling
Good use of MS PowerPoint
Excellent attention to detail
Excellent verbal and written communication skills
Excellent time management skills with a proven ability to meet deadlines
Ability to work independently, be self-driven, and inquisitive
Knowledge of SQL
Knowledge of Python
Preferred Qualifications:
Previous experience in Financial Services
Compensation:
The annual salary range is about $70,000to $100,000based on experience with a 10% annual bonus.
