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Senior Data Analyst Machine Learning Jobs in Washington

Monex

Senior Data Analyst

Washington, DC · On-site

$70K - $100K/yr

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 ...

Monex USA

Senior Data Analyst

Washington, DC · On-site

$70K - $100K/yr

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 ...

Guidehouse

Senior Data Analyst

Mclean, VA · On-site

$86K - $109K/yr

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities * Employee ...

HazeGrayCyber

Senior Data Scientist

Washington, DC · On-site

Description Senior Data Analyst Req ID 002-25 v1.0 HazeGrayCyber, LLC is focused on delivering ... AI and Machine Learning/SAS Certified Analytics Professional * IBM Data Science Professional ...

Guidehouse

Senior Data Analyst

Mclean, VA · Hybrid

$86K - $109K/yr

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities * Employee ...

Navigant Consulting

Senior Data Analyst

Mclean, VA · On-site

$88K - $111K/yr

As a Senior Data Analyst, you will be part of a dynamic team supporting customers within the ... Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities * Employee ...

Dynanet Corporation

Sr. Data Analyst

Washington, DC · On-site

$160K - $180K/yr

Job Title: Sr. Data Analyst Job Type: Full-time Salary Range: $160,000 - $180,000 Location ... learning. * Develop and present findings, analysis, reports, and other work products in ways that ...

Dynanet Corporation

Sr. Data Analyst

Washington, DC · Hybrid

$160K - $180K/yr

Job Title: Sr. Data Analyst Job Type: Full-time Salary Range: $160,000 - $180,000 Location ... learning. * Develop and present findings, analysis, reports, and other work products in ways that ...

Dynanet Corporation

Sr. Data Analyst

Washington, DC · On-site

$160K - $180K/yr

Job Title: Sr. Data Analyst Job Type: Full-time Salary Range: $160,000 - $180,000 Location ... learning. * Develop and present findings, analysis, reports, and other work products in ways that ...

Kanak Elite Services Inc

Senior Data Engineer

Arlington, VA · On-site

$121K - $165K/yr

Senior Data Engineer Location : Arlington, VA Hybrid (Need local candidates only within 30-40 miles ... Experience leveraging open-source tools, predictive analytics, machine learning, Advanced ...

Beyond SOF

Senior Data Analyst

VA · On-site

$86K - $109K/yr

Position Overview The client are recruiting for a Senior Data Analyst who will support the critical functions for Open Source Intelligence in the IC. Responsibilities * Develop metrics and analysis ...

Bigbear.ai

Sr. Data Scientist

Washington, DC

$140K - $215K/yr

Overview BigBear.ai is seeking a Senior Data Scientist to conduct data analytics, data engineering ... Prior experience with large data, multi-INT analytics, machine learning, and automated predictive ...

Castellum Inc

Senior Data Analyst

Washington, DC · On-site

$90K - $125K/yr

The Senior Data Analyst will partner closely with legal, operational, and IT teams to run sophisticated queries, develop interactive dashboards, and maintain data integrity that drives high-level ...

US AI

Sr. Data Scientist

Rockville, MD · On-site

$150K - $200K/yr

Create and use advanced machine learning algorithms and statistics, such as regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. * Create data ...

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Senior Data Analyst Machine Learning information

What is a senior data analyst machine learning?

A Senior Data Analyst in Machine Learning is a professional who analyzes large datasets to extract insights and supports the development and implementation of machine learning models. They often work closely with data scientists, engineers, and business stakeholders to identify trends, prepare data, and ensure the quality and relevance of data used in machine learning projects. Their role typically includes advanced data analysis, developing data pipelines, creating reports, and interpreting the results of machine learning models to drive business decisions.

What are the key skills and qualifications needed to thrive as a senior data analyst machine learning?

To thrive as a Senior Data Analyst Machine Learning, you need strong analytical skills, expertise in statistics, and advanced proficiency in programming languages like Python or R, typically supported by a degree in a quantitative field. Familiarity with machine learning frameworks (such as scikit-learn, TensorFlow, or PyTorch), data visualization tools, and experience with SQL databases are essential, along with relevant certifications like Google Data Analytics or AWS Machine Learning. Outstanding problem-solving abilities, collaboration, and the capacity to communicate complex concepts clearly make individuals stand out in this role. These skills and qualities are crucial for extracting actionable insights from data, building effective predictive models, and driving data-driven decision-making within organizations.

How does a senior data analyst machine learning typically collaborate with data science and engineering teams?

As a Senior Data Analyst with a focus on Machine Learning, you'll work closely with both data science and engineering teams to bridge the gap between data insights and model deployment. You may be responsible for preparing and analyzing large datasets, communicating findings and business needs to data scientists, and ensuring that machine learning models are implemented effectively. Regular collaboration includes participating in code reviews, refining feature engineering, and translating technical results into actionable business recommendations. This cross-functional teamwork is key to ensuring that projects move smoothly from conception to production.

What is the difference between Senior Data Analyst Machine Learning vs Data Scientist?

AspectSenior Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; experience with machine learning toolsBachelor's or Master's in Data Science, Computer Science, or related; strong programming and statistical skills
Work EnvironmentData analysis teams, business units, focus on applying ML models to business problemsResearch and development teams, focus on model development, experimentation, and innovation
Employer & Industry UsageFinance, healthcare, retail, and tech companies using ML for insightsTech firms, startups, research institutions developing advanced models

While both roles involve working with data and machine learning, Senior Data Analyst Machine Learning typically focuses on applying existing models to solve business problems, whereas Data Scientists develop new models and algorithms, often engaging in more research and experimentation.

What are the most commonly searched types of Data Analyst Machine Learning jobs in Washington?

The most popular types of Data Analyst Machine Learning jobs in Washington are:

What are popular job titles related to Senior Data Analyst Machine Learning jobs in Washington?

For Senior Data Analyst Machine Learning jobs in Washington, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Machine Learning jobs in Washington look for?

The top searched job categories for Senior Data Analyst Machine Learning jobs in Washington are:

What cities in Washington are hiring for Senior Data Analyst Machine Learning jobs?

Cities in Washington with the most Senior Data Analyst Machine Learning job openings:

Senior Data Analyst Machine Learning jobs near you
Infographic showing various Senior Data Analyst Machine Learning job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analyst

Monex

Washington, DC • On-site

$70K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 29 days ago

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 $70,000to $100,000based 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

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