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Home Based Data Analyst Jobs in Washington (NOW HIRING)

SteerBridge

Data Analyst

Vienna, VA

Take on additional tasks and responsibilities as assigned based on business needs. Required ... Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information Systems ...

SteerBridge

Data Analyst

Vienna, VA

Take on additional tasks and responsibilities as assigned based on business needs. Required ... Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information Systems ...

PenFed Credit Union

Enterprise Data Analyst

Mclean, VA · Hybrid

$79K - $138K/yr

Conduct complex data analysis in support of a variety of analytic solutions. Interpret data ... Minimum of 2 years of experience on working with Cloud based data solution ( Snowflake and AWS)

SteerBridge

Data Analyst

Vienna, VA · On-site

Take on additional tasks and responsibilities as assigned based on business needs. Required Qualifications * Bachelor's degree in Data Analytics, Business Analytics, Computer Science, Information ...

Pantheon Data

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Company Overview Pantheon Data (a Kenific Holding company) is a private, small business based in ... Position Overview The Data Analyst supports the development of dashboards, reports, data ...

Pantheon Data

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Company OverviewPantheon Data (a Kenific Holding company) is a private, small business based in the ... Position OverviewThe Data Analyst supports the development of dashboards, reports, data ...

CAVA - Support Center

Data Analyst

Washington, DC · On-site

$85K - $95K/yr

Data Analyst- Operations (Restaurant & Catering) The Data Analyst at CAVA provides analytical ... Familiarity with cloud-based data platforms (Snowflake, Databricks). * Understanding ofdata ...

AeroVironment, Inc.

Data Analyst

Annapolis, MD · On-site

$130K - $190K/yr

Apply spatiotemporal technologies and methods to track and analyze geographic and time-based data patterns. * Stakeholder Communication: Translate complex technical findings into clear, actionable ...

AeroVironment

Data Analyst

Annapolis Junction, MD

$130K - $190K/yr

Apply spatiotemporal technologies and methods to track and analyze geographic and time-based data patterns. * Stakeholder Communication: Translate complex technical findings into clear, actionable ...

Systems Planning and Analysis

Data Analyst

Alexandria, VA · On-site

$125K - $145K/yr

Responsibilities The Data Analyst will support the newly formed Assistant Secretary of War for ... Able to work fully onsite based on client needs. Pay Range Information At SPA, we strive to deliver ...

Systems Planning and Analysis

Data Analyst

Alexandria, VA · On-site

$125K - $145K/yr

Responsibilities The Data Analyst will support the newly formed Assistant Secretary of War for ... Able to work fully onsite based on client needs. Pay Range Information At SPA, we strive to deliver ...

C-HIT

Data Analyst - 4

Columbia, MD · On-site

$90 - $120/hr

Support event-driven and API-based data architectures. * Align data architecture with CMS interoperability mandates (FHIR, HL7). Data Analysis & Insights * Analyze large healthcare datasets to ...

Planet

Data Analyst

Arlington, VA · Hybrid

These offerings are dependent on employment type and geographical location, based upon applicable ... Home Office Reimbursement * Monthly Phone and Internet Reimbursement * Tuition Reimbursement and ...

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Home Based Data Analyst information

See Washington salary details

$38.5K

$93.6K

$154K

How much do home based data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for home based data analyst 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.

What is a home based data analyst?

A Home Based Data Analyst is a professional who works remotely from their home to collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. The role typically involves working with large volumes of data, ensuring data quality, and presenting findings to stakeholders. Home Based Data Analysts must have strong analytical skills, attention to detail, and proficiency in data analysis software such as Excel, SQL, or Python. Remote data analysts often collaborate with teams and clients virtually.

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

To thrive as a Home Based Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or economics. Experience with technical tools like SQL, Excel, Python, and data visualization platforms (e.g., Tableau or Power BI) is crucial, along with knowledge of remote collaboration software. Excellent attention to detail, problem-solving ability, and clear communication help you interpret data accurately and present actionable insights to stakeholders. These skills ensure you can independently manage, analyze, and report data effectively while collaborating remotely with teams and clients.

How do home based data analysts typically collaborate with team members while working remotely?

Home-based data analysts often use a variety of digital tools to stay connected and collaborate with their teams, such as project management platforms, instant messaging apps, and video conferencing software. Regular virtual meetings and real-time document sharing are common practices to ensure alignment on projects and data-driven decisions. Effective communication skills and proactive reporting help maintain transparency and foster teamwork despite the physical distance. By leveraging cloud-based analytics platforms, analysts can seamlessly share insights and work jointly on datasets with colleagues across different locations.

Is it possible to work remotely as a home based data analyst?

Home based data analysts can often work remotely, as the role primarily involves analyzing data using software tools like Excel, SQL, or Python, which can be accessed from any location with internet access. Many companies offer remote or flexible schedules for data analysis positions, especially with the increasing adoption of cloud-based collaboration tools. However, some roles may require occasional in-person meetings or specific certifications to qualify for remote work.

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

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

What cities in Washington are hiring for Home Based Data Analyst jobs?

Cities in Washington with the most Home Based Data Analyst job openings:

Home Based Data Analyst jobs near you
Infographic showing various Home Based Data Analyst job openings in Washington as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 13% Part Time, and 7% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $93,598 per year, or $45 per hour.

Senior Mortgage Data Analyst - Data Transformation

Omm IT Solutions

Mclean, VA

$87K - $110K/yr

Contractor

Re-posted 16 days ago

Job description

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\n PLEASE NOTE:<\/b><\/span><\/span><\/u>
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  • IT IS 100% on site position in McLean, VA.<\/b><\/span><\/span><\/span>
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    \n <\/b><\/span><\/span><\/span>
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    \n KEY REQUIRED SKILLS:<\/b><\/span><\/span><\/u>
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    • Data lineage, data mapping, business process analysis, Cloud Data Platform<\/span><\/span><\/span>
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      <\/span><\/span><\/span>\n <\/div>\n
      \n DESCRIPTION:<\/b><\/u>
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      \n We are seeking an experienced Senior Mortgage Data Analyst - Data Transformation to support a large\-scale enterprise data transformation initiative for a leading financial services organization. In this role, you will serve as the bridge between business stakeholders and technical teams, ensuring business requirements are accurately translated into scalable, cloud\-based data solutions. A key role in data analysis, business process optimization, requirements definition, stakeholder collaboration, and ensuring high\-quality delivery throughout the project lifecycle.

      <\/b><\/span><\/span>\n <\/div>\n
      \n KEY RESPONSIBILITIES:<\/b><\/span><\/span><\/u>
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      • Perform data lineage analysis, data profiling, and data mapping across enterprise applications and data platforms. <\/span><\/span><\/span>
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      • Analyze legacy data assets and map them to target\-state cloud\-based data architectures.<\/span><\/span><\/span>
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      • Gather, analyze, and document business and functional requirements for enterprise data transformation initiatives.<\/span><\/span><\/span>
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      • Create user stories, business process flows, functional specifications, and acceptance criteria for development teams.<\/span><\/span><\/span>
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      • Partner with business stakeholders, architects, data engineers, and product owners to define business\-aligned data solutions.<\/span><\/span><\/span>
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      • Evaluate event\-driven and entity\-based data models while identifying transformation opportunities and data gaps.<\/span><\/span><\/span>
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      • Support cloud\-based data ingestion and integration initiatives.<\/span><\/span><\/span>
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      • Coordinate User Acceptance Testing (UAT), Quality Assurance (QA), and validation activities.<\/span><\/span><\/span>
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      • Ensure deliverables meet business objectives, quality standards, and project timelines.<\/span><\/span><\/span>
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      • Facilitate stakeholder meetings, manage expectations, and communicate project progress effectively.<\/span><\/span><\/span>
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      • Utilize AI\-powered productivity tools such as Microsoft Copilot, ChatGPT, Claude, or other approved LLMs to improve documentation, analysis, and delivery efficiency.<\/span><\/span><\/span>
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      • Support enterprise data governance initiatives and ensure adherence to organizational data standards.<\/span><\/span><\/span>
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        Requirements<\/h3>\n
        \n REQUIRED QUALIFICATION:<\/b><\/span><\/span><\/u>
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        • Bachelor's degree in Computer Science, Information Systems, Business, Data Analytics, Finance, or a related discipline.<\/span>
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        • 7+ years of Business Analysis experience supporting enterprise data, analytics, or technology transformation programs.<\/span>
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        • Proven experience in data lineage, data profiling, data mapping, and business process analysis.<\/span>
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        • Strong experience gathering and documenting business, functional, and technical requirements.<\/span>
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        • Experience working with cloud\-based data platforms and modern data ingestion architectures.<\/span>
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        • Knowledge of enterprise data architecture, data governance, and data integration concepts.<\/span>
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        • Strong analytical, problem\-solving, and stakeholder management skills.<\/span>
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        • Excellent verbal and written communication skills.<\/span>
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        • Experience working in Agile environments.<\/span><\/span><\/span>
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          \n PREFERRED QUALIFICATION:<\/b><\/span><\/span><\/u><\/span>
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          • Experience within the secondary mortgage industry.<\/span>
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          • Hands\-on experience with cloud data platforms such as Snowflake, Databricks, Azure, AWS, or Google Cloud Platform.<\/span>
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          • Experience with enterprise data modernization and legacy system transformation projects.<\/span>
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          • Experience using Azure DevOps, Jira, or similar Agile project management tools.<\/span>
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          • Familiarity with AI\-assisted business analysis tools including Microsoft Copilot, ChatGPT, and Claude.<\/span>
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          • Professional certifications such as CBAP, PMI\-PBA, Scrum, or Agile certifications are a plus.<\/span>
            <\/span><\/span><\/span><\/li>\n <\/ul><\/span>
            \n <\/body>\n<\/html>

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