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 a leading global financial solutions provider, offering a complete set of tools to support business growth and strategic financial operations. We specialize in FX risk management and international payments, helping corporate and institutional clients design tailored FX solutions to navigate currency volatility with confidence. Our team of FX specialists implement well-considered currency strategies, offering dedicated support to help clients manage their payment needs, whether for goods, services, or direct investments. In 2025, Monex facilitated $198 billion in FX turnover and managed $16.1 billion in assets. With offices across North America (Canada, the US, and Mexico), Asia (Singapore), and Europe (the UK, Spain, and the Netherlands), we serve over 70,000 clients worldwide. By combining global reach with deep local market expertise, Monex enhances businesses with a suite of financial solutions and FX market analysis to help optimize efficiency, mitigate currency risk, and protect margins in an increasingly complex financial landscape. 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 $70,000  to $100,000  based on experience with a 10% annual bonus. Benefits • Medical insurance • Dental insurance • Vision insurance • Commuter benefits • 401(k) and employer match • 16 days of PTO • Disability benefits • Paid parental leave • Catered Lunches • Annual Summer & Winter Events

Requirements

Must-haves

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 a leading global financial solutions provider, offering a complete set of tools to support business growth and strategic financial operations.
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

Nice-to-haves

Preferred Qualifications: • Previous experience in Financial Services

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Keywords to mirror

sqlpython

Platform: jazzhr
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Parental Leave