Senior Data Analyst

Monex USA

Washington (District of Columbia)

Hybrid

USD 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Commuter benefits

401(k) and employer match

16 days PTO

Disability benefits

Paid parental leave

Catered Lunches

Annual Summer & Winter Events

Job summary

Monex USA in Washington, DC, seeks a Senior Data Analyst to lead BI dashboards, reports, and strategic analytics for senior stakeholders. Hybrid work arrangement after 90 days, with a focus on turning complex financial data into clear insights.

The role involves architecting scalable BI systems, mentoring junior analysts, and collaborating across HR, IT, and Sales Ops to align analytics with business goals. Minimum 3+ years’ experience and strong SQL/Python skills 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

Responsibilities

Lead the development and delivery of BI dashboards, reports, and presentations
Architect and optimize scalable BI systems, including databases, data models, and automation frameworks
Oversee data collection, transformation, and integration from internal systems and external sources
Drive advanced data analysis to identify trends, forecast outcomes, and inform decisions
Provide strategic recommendations to leadership
Manage validation, testing, and governance of BI tools and datasets
Establish and maintain standardized data models, reporting frameworks, and reusable analytics assets
Collaborate cross-functionally to align analytics initiatives with organizational goals
Mentor junior analysts and promote best practices in data analysis, visualization, and reporting
Communicate insights and updates to stakeholders for data-driven decisions

Skills

Excellent communication

Time management

Independent work

Attention to detail

Data analysis

Problem solving

Mentoring juniors

Education

Bachelor's degree or higher in CS, Economics, Finance, Actuarial Science, Statistics, or Business

Tools

Power BI

Tableau

Power Query

DAX

MS Excel

SQL

Python

Job description

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