1

Data Analyst Github Jobs in Washington (NOW HIRING)

Experience using AI-assisted development tools (e.g., GitHub Copilot) in conjunction with strong Python and/or R programming skills to accelerate data analysis, analytical workflow development, and ...

Sr. Software Engineer (Data)-0336

Reston, VA · On-site +1

$119K - $143K/yr

... analysis using SQL on Snowflake and Databricks; develop data APIs using Golang; perform version control using GitHub; develop machine learning models using Apache Spark; build CI/CD pipelines using ...

Experience using AI-assisted development tools (e.g., GitHub Copilot) in conjunction with strong Python and/or R programming skills to accelerate data analysis, analytical workflow development, and ...

... tools to automate data analysis of large data sets. Qualifications : Required : • TS/SCI ... GitHub, and Palantir • An active CI polygraph Company : Nalley Consulting provides consulting ...

... tools to automate data analysis of large data sets. Qualifications : Required : • TS/SCI ... GitHub, and Palantir • An active CI polygraph Company : Nalley Consulting provides consulting ...

... analysis of large data sets. Qualifications : Required : • Required clearance: TS/SCI with ... GitHub, and Palantir • An active CI polygraph Company : Nalley Consulting provides consulting ...

Experience using GitHub (e.g., source code management). * Comprehensive knowledge of modern ... Specifically: * You're a builder, not just an analyst. When you see a gap in a process or a tool ...

next page

Showing results 1-20

Data Analyst Github information

See Washington salary details

$38.5K

$93.6K

$154K

How much do data analyst github jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analyst github in Washington is $93,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,900.00 per year, depending on experience, location, and employer.

How does a Data Analyst at GitHub typically collaborate with engineering and product teams?

At GitHub, Data Analysts frequently work alongside engineering and product teams to translate business questions into actionable data insights. They participate in cross-functional meetings, help define key metrics, and build dashboards or reports tailored to the needs of different stakeholders. Effective collaboration requires strong communication skills, as analysts must explain complex data findings to both technical and non-technical colleagues. This collaborative environment fosters continual learning and often provides opportunities to contribute to strategic decisions that impact the direction of products and features.

What are the key skills and qualifications needed to thrive as a Data Analyst on GitHub, and why are they important?

To thrive as a Data Analyst on GitHub, you need strong analytical skills, experience in statistics, and proficiency in data manipulation using languages like Python or SQL, often backed by a relevant degree. Familiarity with data visualization tools (e.g., Tableau, Power BI), Git version control, and GitHub workflows is essential, and certifications in data analysis or related fields are advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for collaborating on open-source projects and sharing insights. These competencies enable accurate data-driven decision-making, efficient project collaboration, and impactful contributions to the GitHub community.

What are Data Analysts on GitHub?

Data Analysts on GitHub are professionals or contributors who use the platform to share, collaborate, and manage data analysis projects. They leverage GitHub to store datasets, share scripts and code (often in languages like Python or R), and document their analyses using tools like Jupyter Notebooks or Markdown. GitHub enables Data Analysts to version-control their work, collaborate with others through pull requests and issues, and showcase their portfolios to potential employers or collaborators.

What is the difference between Data Analyst Github vs Data Scientist?

AspectData Analyst GithubData Scientist
Required CredentialsBachelor's in Data Analytics, Statistics, or related field; proficiency in SQL, Excel, and visualization toolsBachelor's or Master's in Data Science, Computer Science, or related; knowledge of programming languages like Python or R, machine learning
Work EnvironmentCollaborates with teams to analyze data, create dashboards, and support decision-makingBuilds models, develops algorithms, and performs advanced statistical analysis
Employer & Industry UsageUsed across industries for reporting, data visualization, and business insightsApplied in AI, predictive modeling, and complex data analysis projects

While both roles involve working with data, Data Analyst Github focuses on data visualization, reporting, and supporting business decisions, often using tools like SQL and Excel. Data Scientists perform advanced analytics, build predictive models, and require programming skills in Python or R. The roles overlap in data handling but differ in complexity and technical depth.

What cities in Washington are hiring for Data Analyst Github jobs? Cities in Washington with the most Data Analyst Github job openings:
Infographic showing various Data Analyst Github job openings in Washington as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.
Data Analyst - Marketing and Communications

Data Analyst - Marketing and Communications

Montage Marketing Group

Rockville, MD • On-site, Remote

$70K - $80K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago


Job description

Montage Marketing Group is seeking a Data Analyst to support client-facing projects in a growing marketing and communications environment. This role serves commercial, nonprofit, and public sector clients, including federal, state, and local government organizations in the delivery of data-informed marketing and communications strategies. This role combines data analysis, reporting, performance measurement, and strategic insights to help clients make informed decisions and optimize marketing, outreach, communications, and engagement initiatives.

The ideal candidate is analytical, detail-oriented, and innately curious, with the ability to transform complex data into meaningful insights and actionable recommendations for both technical and non-technical audiences.

This is a full-time, exempt position working a hybrid schedule at Montage's Rockville, MD office and the employees home office. The anticipated annual salary for this position is $70,000 - $80,000.

Position Overview

Data Analysis & Insights

  • Analyze large and diverse datasets to identify trends, patterns, opportunities, and risks.
  • Develop performance metrics, KPIs, dashboards, and scorecards to measure marketing and communications effectiveness.
  • Conduct audience, customer, stakeholder, and campaign analysis to support strategic decision-making.
  • Perform ad hoc analyses and research to answer client and internal business questions.
  • Translate analytical findings into clear recommendations that improve outcomes and overall organization performance.
  • Apply data analytics methodologies, including predictive modeling, machine learning algorithms, and data mining techniques, to inform client program strategy and approach.

Reporting & Visualization

  • Design, develop, and maintain interactive dashboards and automated reports using a variety of platforms.
  • Create compelling data visualizations that communicate insights to executive, client, and project stakeholders.
  • Monitor campaign, website, social media, digital advertising, public engagement, and program performance metrics.
  • Ensure reporting accuracy, consistency, and alignment with client objectives and contractual requirements.
  • Translate and present findings through compelling written reports, presentations, and stakeholder briefings.

Data Management and Technical Execution

  • Collect, clean, validate, and integrate data from multiple sources and platforms.
  • Work with databases, spreadsheets, CRM systems, marketing platforms, and analytics tools to support reporting needs.
  • Develop and maintain queries, data models, and workflows that improve data quality and accessibility.
  • Support data governance, documentation, and quality assurance processes.
  • Identify opportunities to automate reoccurring reporting and analytical processes.

Client and Program Support

  • Support stakeholder analysis, audience segmentation, and evaluation of marketing or outreach program effectiveness.
  • Identify trends, gaps, and opportunities for targeted engagement or program outcome enhancements.
  • Coordinate with client and agency stakeholders to ensure effective updating and maintenance of databases for accurate data analysis and reporting.
  • Collaborate with internal project management and external client stakeholders to define analytical requirements.
  • Support the development of new business proposals, client presentations, and strategic client recommendations reinforced by data-driven insights.
  • Assist government and commercial clients in measuring program effectiveness and return on investment.
  • Communicate technical findings in a manner that is understandable to non-technical audiences.
  • Contribute to a culture of continuous improvement, innovation, and evidence-based decision-making.

Required Qualifications

  • 3-5 years of experience in data analysis, program evaluation, market research or similar field.
  • Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Information Systems, or related field.
  • Professional background in a client-facing, professional services environment.
  • Experience in programming languages for data analysis (Python, R, etc.) and developing data visualization tools (Tableau, Power BI, or similar).
  • Deep understanding of database management systems, querying and analyzing data using SQL.
  • Working knowledge of Power BI, Tableau, Fivetran, Airtable, Snowflake, Google Analytics, GitHub or similar.
  • Proficiency with Microsoft Excel, including advanced formulas, pivot tables, and data analysis techniques.
  • Applied expertise in the use of artificial intelligence (AI), data visualization, and reporting tools.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Proven success in managing multiple projects and deadlines in a fast-paced client services environment.
  • Ability to obtain public trust suitability with the federal government.
  • Located within a commutable distance to offices in Rockville, MD.

Preferred Qualifications

  • Professional experience within project management, event coordination, marketing/advertising/PR, consulting, or government contracting environments.
  • Experience in predictive modeling and/or machine learning.
  • Data analysis background in healthcare, environment, technology, or transportation industries.

About Montage Marketing Group

Montage Marketing Group is an award-winning marketing firm focused on making connections-and making a difference. Our people are innovators and co-creators, visionaries, and hard-working change makers. Our purpose is to make connections with people, to get them to stop and think, to feel and act. Proven experts in engagement, outreach, communication, event planning, and experiential design, we're a third party-certified woman business enterprise, and a member of the US Small Business Administration's 8(a) program.

Why Montage?

Because we're a caring team of collaborative creatives-people who care as deeply about each other as we do about our work. We know that true teamwork happens only when each person's voice is valued, each one's contribution is celebrated, and success is always shared. We encourage each team member to realize their full potential. And we invite people to make our agency their pathway to fulfillment.

Montage Marketing Group is an E-Verify company and a Drug-Free Workplace.

Benefits

  • Medical
  • Dental
  • Vision
  • 401K Retirement with match
  • Paid Time Off (PTO)
  • Paid Holidays
  • Paid Parental Leave for Birthing & Non-Birthing Parents
  • Paid Jury Duty, Bereavement Leave
  • Short-Term & Long-Term Disability Insurance
  • Group Term Life Insurance
  • Flexible Spending Account (FSA)
  • Employee Assistance Program (EAP)
  • Accident Insurance
  • Critical Illness Insurance
  • Cancer Insurance
  • Hospital Indemnity Insurance
  • LegalShield
  • IDShield
  • FinFitFinancial Wellness Program
  • Working AdvantageDiscount Program
Employment Type: FULL_TIME