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Software Data Analyst Jobs in Washington, DC (NOW HIRING)

Utilise statistical techniques and software tools to perform data analysis. * Monitor key performance indicators and suggest improvements based on data insights. Requirements * Proven experience in ...

New

Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence.

Our specialties include cybersecurity, cloud modernization, software development, data analytics, enterprise architecture, enterprise IT, analytics, process automation, and artificial intelligence.

Data Analyst

Arlington, VA · Hybrid

$83K - $139K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!

Data Analyst

Arlington, VA · On-site

$83K - $139K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!

Data Analyst

Arlington, VA · On-site

$83K - $139K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!

Data Analyst

Arlington, VA · Hybrid

$83K - $139K/yr

Dive into innovation in Digital Transformation, Cybersecurity, IT, Data Analytics and Software Development. Your journey to impactful work and rapid growth starts now-be extraordinary at MANTECH!

Data Analyst

Arlington, VA · On-site

$85K - $150K/yr

Use modern software development practices including Git, testing, version control, and collaborative development. Minimum Qualifications * 2+ years of experience in data analytics, data engineering ...

Data Analyst

Arlington, VA · On-site

$85K - $150K/yr

Use modern software development practices including Git, testing, version control, and collaborative development. Minimum Qualifications * 2+ years of experience in data analytics, data engineering ...

As a Data Analyst, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our federal government clients.

Data Analyst

Arlington, VA · On-site

$85K - $150K/yr

Use modern software development practices including Git, testing, version control, and collaborative development. Minimum Qualifications * 2+ years of experience in data analytics, data engineering ...

Data Analyst

Washington, DC · On-site

$61 - $68/hr

The master data analyst will be responsible for ensuring the accuracy, consistency, and integrity ... Required 10 Years Extensive knowledge of software development life cycle (SDLC), as well as ...

I.-driven consumer data and intelligence, providing deep insights and analysis through a SaaS platform. The Software Engineer will work on the Data Integration Engineering team to design and ...

Data Analyst

Springfield, VA · On-site

$110K - $150K/yr

The group provides the core of SPA thought leadership on Undersea Strategy, Software Development ... SPA has an immediate need for a Data Analyst. #FC #Dice Responsibilities The Data Analyst will ...

The Analysts will be selected primarily for technical and data acumen and the ability to rapidly learn a new software suite. This position will be based in our National Capital Region offices in the ...

As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software Engineers and Data Engineers that deliver custom analytic solutions to our ...

The Data Analyst provides actionable insights, automation recommendations, and project status ... Software & Hardware Engineering, Network & Systems Management, Information Systems Security, and ...

ANOVA) using statistical software applications such as R and SPSS * Work with Senior Database ... Data analysis, involved in both primary and secondary research using data to arrive at decision ...

Showing results 21-40

Software Data Analyst information

See Washington, DC salary details

$38.5K

$93.6K

$154K

How much do software data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for software data analyst in Washington, DC is $93,564.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $109,800.00 per year, depending on experience, location, and employer.

What is a software data analyst?

A Software Data Analyst is a professional who uses data analysis techniques to interpret, manage, and report on software-related data. They work closely with development teams, product managers, and business stakeholders to help improve software products by analyzing usage metrics, bug reports, user feedback, and other data sources. Their insights help guide decision-making, optimize product performance, and identify trends or areas for improvement. Typical tasks include data collection, cleaning, visualization, and the creation of actionable reports. Strong analytical skills, proficiency with data analysis tools, and an understanding of software development processes are important for this role.

What are the key skills and qualifications needed to thrive as a software data analyst?

To thrive as a Software Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field. Familiarity with data analysis tools like SQL, Python, R, and experience with data visualization platforms such as Tableau or Power BI are typically required, and certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate can be advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for interpreting data and presenting actionable insights to stakeholders. These skills enable accurate data-driven decision-making and ensure that insights are clearly understood and effectively implemented within an organization.

How does a software data analyst typically collaborate with software developers and other teams?

As a Software Data Analyst, you'll frequently work alongside software developers, product managers, and business analysts to translate data insights into actionable improvements. You'll often participate in cross-functional meetings, provide analytical support during development cycles, and help define metrics to measure product performance. Effective communication is key, as you'll need to explain complex data findings in a clear way to both technical and non-technical stakeholders. This collaborative environment not only enhances the end product but also offers opportunities to learn from diverse perspectives and expand your professional network.

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

AspectSoftware Data AnalystData Scientist
Required CredentialsBachelor's in Data Analysis, Computer Science, or related fields; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, IT departments, analytics teamsResearch labs, tech companies, analytics teams
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, research institutions, startups
Common Search & ComparisonYesYes

The main difference between a Software Data Analyst and a Data Scientist lies in their focus and skill set. Software Data Analysts primarily interpret data to support business decisions using tools like SQL and Excel, while Data Scientists develop complex models and algorithms to extract deeper insights, often requiring advanced statistical knowledge and programming skills. Both roles are vital in data-driven industries but serve different analytical needs.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in SQL, Excel, and data visualization tools, salaries tend to increase with experience and certifications like Tableau or Power BI.

What are top 3 skills for a software data analyst?

A software data analyst should have strong analytical skills, proficiency in programming languages like Python or R, and expertise in data visualization tools such as Tableau or Power BI. Additionally, knowledge of SQL for database querying and a solid understanding of statistical methods are essential for effective data analysis.
Infographic showing various Software Data Analyst job openings in Washington, DC as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 10% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.
Marriott International
Traveler Accommodation • 10K+ employees

Full-time

Posted 2 days ago

New


Marriott International rating

6.4

Company rating: 6.4 out of 10

Based on 1,191 frontline employees who took The Breakroom Quiz


Job description

Overview

We are seeking an analytical and detail-oriented professional to join our team at Marriott International. In this position, you will play a crucial role in interpreting data and transforming it into actionable insights to support business decisions.

Key Responsibilities

  • Collect, process, and analyse large datasets to identify trends and patterns.
  • Prepare reports and presentations for stakeholders to convey findings clearly.
  • Collaborate with different departments to understand their data needs and provide analytical support.
  • Utilise statistical techniques and software tools to perform data analysis.
  • Monitor key performance indicators and suggest improvements based on data insights.

Requirements

  • Proven experience in data analysis or a related field.
  • Strong proficiency in data analysis tools such as Excel, SQL, or Python.
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex data in a clear and concise manner.
  • A degree in Mathematics, Statistics, Computer Science, or a related discipline.

Nice to have

  • Experience with data visualisation tools like Tableau or Power BI.
  • Familiarity with machine learning concepts and techniques.
  • Experience in the hospitality industry.

What Marriott International employees say

Pay

Benefits

Hours and flexibility

Workplace

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