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No Experience Data Analytics Jobs in Reston, VA (NOW HIRING)

GRVTY

Data Analyst - Mid

Falls Church, VA

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data holdings, ensure compliance with data standards, and perform quantitative analysis ...

Analytica

Data Analytics Trainer

Washington, DC · On-site

The candidate must be an experienced software application trainer with experience to develop ... Experience analyzing data systems, with strong aptitude for conducting quantitative and qualitative ...

Analytica

Data Analytics Trainer

Washington, DC · On-site

The candidate must be an experienced software application trainer with experience to develop ... Experience analyzing data systems, with strong aptitude for conducting quantitative and qualitative ...

Mitre

Senior Software Developer, Data Analytics

Mclean, VA · On-site

$55 - $72.75/hr

Experience with analytic techniques and methods (e.g., supervised and unsupervised machine learning, link analysis, and text mining) as well as software languages is a must. Knowledge of data ...

Tecolote Research

Data Support Analyst

Arlington, VA · On-site

$60K - $85K/yr

Between 1 and 3 years of experience in identifying, prioritizing, and data analytics or implementing software system requirement specifications * Proficiency in Microsoft Office (Excel, Word, Access ...

GRVTY

Data Analyst - Mid

Falls Church, VA · On-site

$110K - $150K/yr

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data holdings, ensure compliance with data standards, and perform quantitative analysis ...

GRVTY

Data Analyst - Mid

Falls Church, VA · On-site

$110K - $150K/yr

What Impact You'll Have GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data holdings, ensure compliance with data standards, and perform quantitative analysis ...

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How much do no experience data analytics jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for no experience data analytics in Reston, VA is $56.96, according to ZipRecruiter salary data. Most workers in this role earn between $45.77 and $64.52 per hour, depending on experience, location, and employer.

What is a no experience data analytics job?

'No Experience Data Analytics' jobs are entry-level positions in the field of data analytics that do not require prior professional experience in analytics or data science. These roles are designed for beginners and often focus on teaching foundational skills, such as data cleaning, basic analysis, and using analytics tools like Excel or Tableau. Employers may look for candidates with strong problem-solving abilities, attention to detail, and a willingness to learn. Many of these jobs offer on-the-job training or require completion of online courses or certifications. They provide a pathway for individuals to start a career in data analytics, even if they have just graduated or are switching fields.

What do no experience data analytics jobs involve?

In a No Experience Data Analytics position, you can expect to start with foundational tasks such as cleaning and organizing datasets, creating basic data visualizations, and assisting with simple report generation. You may also help with data entry, validating data accuracy, and supporting senior analysts in data collection projects. These responsibilities help you build technical skills and familiarity with analytical tools, while working closely with more experienced team members who provide guidance and mentorship. Over time, you’ll have opportunities to take on more complex analyses as your confidence and skill set grow.

What skills and qualifications are needed for no experience data analytics roles?

To thrive as a Data Analyst without prior experience, you need a solid understanding of basic statistics, data visualization, and spreadsheet proficiency, often supported by a relevant degree or online coursework. Familiarity with tools like Microsoft Excel, SQL, and introductory data analytics platforms such as Tableau or Google Data Studio is common. Strong problem-solving, curiosity, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills enable you to analyze data accurately, support decision-making, and demonstrate potential for growth in analytics roles.

What is the difference between No Experience Data Analytics vs Data Analyst?

AspectNo Experience Data AnalyticsData Analyst
Required CredentialsNone or basic certificationsBachelor's degree in related field, certifications preferred
Work EnvironmentEntry-level, training-focused, often in tech or financeOffice-based, collaborative, project-driven
Employer & Industry UsageStartups, internships, entry-level roles across industriesEstablished companies, mid-level roles in various sectors
Search & Comparison IntentUnderstanding entry points, beginner rolesCareer progression, skill requirements

In summary, No Experience Data Analytics roles are designed for beginners with minimal or no prior experience, often requiring basic certifications and offering training. Data Analysts typically have relevant education and experience, working in more structured environments. Both roles serve different stages of a data analytics career path.

Can I get into no experience data analytics with no experience?

No experience data analytics roles are designed for entry-level candidates and often do not require prior experience. Success typically depends on foundational skills in Excel, SQL, or programming languages like Python, along with a willingness to learn and relevant certifications or courses. Entry-level positions focus on training and skill development for those new to the field.

What are the most commonly searched types of Data Analytics jobs in Reston, VA?

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For No Experience Data Analytics jobs in Reston, VA, the most frequently searched job titles are:

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No Experience Data Analytics jobs near you

Data Analyst - Mid

GRVTY

Falls Church, VA

Full-time

Re-posted 24 days ago

Job description

What Impact You'll Have

GRVTY is seeking a motivated and experienced Data Analyst to support the maintenance of data holdings, ensure compliance with data standards, and perform quantitative analysis in direct support of Machine Learning model development. The ideal candidate brings strong analytical skills and a passion for transforming complex geospatial data into actionable insights and data-driven recommendations. This role plays a critical part in improving preprocessing productivity and advancing mission outcomes for the DoW and Intelligence Community.

What You'll be Owning

  • Work to enhance workflows, automate standard processes, and create efficient processes that result in greater preprocessing productivity
  • Lead and conduct projects using advanced mathematical, statistical, and scientific techniques to:
    • Examine complex mission and operational problem sets
    • Create insights from large, complex datasets
  • Support data analytics, data cleaning, analyst workflow efficiencies, and ETL transformation capabilities
  • Apply statistical and analytic methods to support:
    • Answer intelligence questions and mission requirements
    • Advanced data analysis initiatives
  • Build lightweight analytic tools to:
    • Visualize data metrics
    • Assess progress of data preprocessing efforts against customer goals
  • Design methods and mechanisms to track, report, and monitor data to ensure pipeline movements are timely and support all necessary processes
  • Develop systems to provide automated checks on data and processes to guarantee continuous pipeline support
  • Ingest and rectify non-standard data and data in formats new within the Data Management Platform (DMP) for integration and curation
  • Generate and manage data dictionaries to ensure information stays updated as data tables change
  • Provide data analysis expertise to determine whether imagery curation techniques and strategies are effective in identifying images of value, including:
    • Images containing set criteria
    • Images meeting specific imagery characteristics

What You Must Have

  • Active TS/SCI Clearance with the ability to obtain a CI/Poly
  • Experienced in preparing data, performing statistical analysis, and applying tools and algorithms to gain insights from large, complex geospatial datasets
  • Experience with programming languages and tools including:
    • Python
    • R
    • SQL
    • GIS
    • Tableau
  • Experience developing visualizations to communicate analytical results to technical audiences and non-technical stakeholders

What Would be Nice to Have

  • Experience working in AI/ML-relevant fields related to imagery exploitation

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