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Data Analytics Jobs in Washington, DC (NOW HIRING)

Pantheon Data

Data Analytics Team Lead

Washington, DC · On-site

$100K - $190K/yr

Position OverviewPantheon Data is seeking a Data Analytics Team Lead to support data-driven decision-making and program performance initiatives within DHS, DoD, and/or USCG environments. This role ...

Pantheon Data

Data Analytics Team Lead

Washington, DC · On-site

$100K - $190K/yr

This role will focus on advanced data analysis, performance measurement, data consolidation across multiple systems, and the development and maintenance of tools that improve data quality and ...

Maximus

Sr Analyst - Data Analytics

VA · On-site +1

$86K - $109K/yr

This position also focuses on modernizing the data ecosystem through automation, scalable pipelines, and the integration of AI, machine learning, and advanced analytics to enable predictive insights ...

Gigatec Engineering

Data Analytics Engineer

Annapolis, MD · On-site

$113K - $136K/yr

... data moving cleanly, efficiently, and on schedule for analytics and operational needs. Required Skills * Experience using the Linux CLI and Linux tools * Experience developing Bash scripts to ...

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All JobsData Analytics JobsData Analytics Jobs in Washington, DC

Data Analytics information

See Washington, DC salary details

$27

$61

$106

How much do data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics in Washington, DC is $61.98, according to ZipRecruiter salary data. Most workers in this role earn between $49.81 and $70.24 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Washington, DC?

The most popular types of Data Analytics jobs in Washington, DC are:

What are popular job titles related to Data Analytics jobs in Washington, DC?

For Data Analytics jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Washington, DC look for?

The top searched job categories for Data Analytics jobs in Washington, DC are:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,925 per year, or $62 per hour.

Data Analytics Engineer

Ryde Technologies, LLC

Crystal City, VA • On-site

$130K - $157K/yr

Full-time

Re-posted 21 hours ago

Job description

Job Overview
We are seeking a Data Analytics Engineer to support our Federal Government Customer with delivering secure, cloud-based mission systems. The Engineer will contribute to the design, develop, and deploy scalable reporting and analytics solutions for government clients. In this role, you will gather requirements, architect data pipelines, and build high-performance dashboards that enable critical decision-making in secure, fast-paced environments. Your technical expertise and communication skills will directly impact mission outcomes.
**This position is one day per week onsite, four days remote
Core Responsibilities
  • Gather requirements and partner with stakeholders to understand complex data needs and emerging business objectives
  • Design, develop, and deploy scalable, high-performance reporting systems and analytics
  • tools
  • Create and optimize SQL queries, dashboards, and data visualization tools in response to client requirements
  • Identify, research, and integrate disparate data sources while maintaining data integrity and security
  • Communicate effectively with clients and cross-functional teams; respond to requirements in tight timeframes

Requirements
  • Must Be Able to Obtain Public Trust Level 6C
  • Ability to work on-site in Crystal City, Virginia, 1 day per week
  • 5+ years of experience
  • Experience with Report and Dashboard Development
  • Experience with Relational Databases (Oracle, PostgreSQL)
  • Experience with the following technologies:
    • AWS services (S3, RDS, EC2, Lambda, Step Functions, EventBridge, OpenSearch/Elasticsearch
    • JSON and JSON format mediation techniques
    • Business intelligence and visualization tools (PowerBI, Tableau)
    • DevSecOps tools and techniques (Jenkins, Git)
    • Data management and aggregation patterns (data warehouse, data mart, data lake, delta lake, lakehouse, data mesh)

Preferred Additional Skills and Qualifications
  • Bachelor's Degree in Computer Science or related field.

EEO Compliance:
Ryde is an Equal Employment Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. Ryde will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.

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