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Advanced Analytics Jobs in Washington (NOW HIRING)

RIVIDIUM

Data Engineer (Advanced Analytics)

Alexandria, VA · Hybrid

$122K - $146K/yr

RiVidium Inc. is seeking a Data Engineer (Advanced Analytics) to support our planned MODES III team supporting Military Community and Family Policy (MC&FP). This role supports IT, Cybersecurity, and ...

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All JobsAdvanced Analytics JobsAdvanced Analytics Jobs in Washington

Advanced Analytics information

See Washington salary details

$73.1K

$141.9K

$202.7K

How much do advanced analytics jobs pay per year?

As of Jul 10, 2026, the average yearly pay for advanced analytics in Washington is $141,944.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $168,800.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of an Advanced Analytics professional?

An Advanced Analytics professional frequently works with large datasets to collect, clean, and analyze data, uncovering trends and patterns that can drive business decisions. Daily tasks often include developing predictive models, generating dashboards or reports, and collaborating with business units to understand their analytical needs. You may also participate in team meetings to share insights, adjust project priorities, or brainstorm new analytical approaches. This dynamic role combines technical analysis with strategic communication, providing opportunities to have a measurable impact on your organization's goals.

What does an advanced analyst do?

An advanced analyst interprets complex data sets to identify trends, develop insights, and support strategic decision-making. They often use tools like SQL, Python, or R, and have strong statistical and analytical skills to solve business problems and improve processes.

What is an Advanced Analytics job?

An Advanced Analytics job involves using data science, machine learning, and statistical techniques to analyze complex data and generate insights that drive business decisions. Professionals in this role work with large datasets, develop predictive models, and create data-driven strategies to optimize operations, marketing, or other business areas. They often use tools like Python, R, SQL, and cloud platforms to process and visualize data. This role requires strong analytical thinking, problem-solving skills, and the ability to translate technical findings into actionable recommendations.

What does advanced analytics do?

Advanced analytics involves analyzing large and complex data sets to uncover patterns, trends, and insights that support decision-making. Professionals in this field use statistical methods, machine learning, and data visualization tools to solve business problems and optimize processes.

What are the key skills and qualifications needed to thrive in the Advanced Analytics position, and why are they important?

To thrive in Advanced Analytics, you need a strong background in statistics, data modeling, and quantitative analysis, often backed by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, data visualization platforms (e.g., Tableau, Power BI), and certifications like Certified Analytics Professional (CAP) are highly valued. Strong problem-solving skills, effective communication, and the ability to translate complex data insights for non-technical stakeholders are essential soft skills. These competencies enable professionals to extract actionable insights, drive business strategies, and communicate findings to influence decision-making in organizations.

What is the highest paying analyst job?

The highest paying analyst roles are often in specialized fields such as financial, investment, or data science analysts, with senior or lead positions earning six-figure salaries. Skills in advanced analytics tools, programming, and industry certifications can contribute to higher compensation.
What are popular job titles related to Advanced Analytics jobs in Washington? For Advanced Analytics jobs in Washington, the most frequently searched job titles are:
What job categories do people searching Advanced Analytics jobs in Washington look for? The top searched job categories for Advanced Analytics jobs in Washington are:
What cities in Washington are hiring for Advanced Analytics jobs? Cities in Washington with the most Advanced Analytics job openings:
Advanced Analytics jobs near you
Infographic showing various Advanced Analytics job openings in Washington as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $141,944 per year, or $68.2 per hour.
Advanced Analytics & Decision Intelligence

Advanced Analytics & Decision Intelligence

MISSION ONE, LLC

Washington, DC

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago

Job description

Benefits
  • 401(k) matching
  • Bonus based on performance
  • Dental insurance
  • Health insurance
  • Opportunity for advancement
  • Paid time off
  • Training & development
  • Vision insurance
About the Role

Mission One is seeking an Intelligence Data Scientist / ORSA / Advanced Analytics Specialist to support mission intelligence and decision-making through advanced analytics and quantitative modeling. This role is ideal for professionals who can move from raw data to actionable insight—building forecasting tools, risk scoring models, anomaly detection pipelines, and operational dashboards that scale intelligence impact. You will work alongside all-source analysts, technical intelligence teams, and mission leaders to translate analytical outputs into real-world mission decisions.

Customer view

“Who can quantify the mission, forecast outcomes, and scale analytic insight?”

Key Responsibilities
  • Build and deploy predictive models and analytic pipelines supporting intelligence and operational decision-making
  • Develop forecasting tools, risk scoring algorithms, anomaly detection, and optimization models
  • Automate analytic workflows to improve speed, consistency, and mission scalability
  • Translate data outputs into actionable intelligence, operational recommendations, and decision-support briefs
  • Design dashboards, KPIs, and performance indicators for mission leaders and stakeholders
  • Work with both structured and unstructured data across varied sources
  • Collaborate with mission teams to integrate analytics into intelligence workflows and reporting cycles
Role Profiles

We welcome candidates aligned with one or more of the following:

  • Data Scientist
  • Operations Research / Systems Analyst (ORSA)
  • Decision Scientist
  • Statistician / Mathematician
  • Computer Scientist (analytics-oriented)
  • Advanced Analytics Specialist (National Security)
  • Decision Intelligence Analyst
Required Qualifications
  • Active security clearance
  • Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, Operations Research, Engineering, or related field
  • 3+ years experience in analytics, modeling, data exploitation, or decision science
  • Ability to work with both structured and unstructured data
  • Strong communication skills: ability to translate quantitative findings into mission impact
  • Demonstrated ability to operate in fast-paced, mission-driven environments
Preferred Qualifications
  • Experience supporting national security missions (DoD, DHS, IC, federal law enforcement, or defense contracting)
  • Proficiency with Python and/or R, plus strong SQL
  • Experience with Jupyter notebooks, cloud platforms, and data pipeline tooling
  • Familiarity with platforms/tools such as:
    • Palantir, Databricks, Power BI, Tableau
    • cloud stacks (AWS/Azure/GCP)
    • workflow orchestration tools (Airflow, Prefect, etc.)
  • Experience with:
    • graph/network analytics
    • pattern-of-life analytics
    • predictive threat modeling
    • NLP or text analytics on unstructured sources
Typical Deliverables
  • Forecasting models and predictive analytic outputs
  • Risk scoring algorithms and prioritization tools
  • Analytic dashboards and decision support KPIs
  • Machine learning outputs integrated into intelligence workflows
  • Decision-support briefs and leadership-ready summaries
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