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Data Interpreter Jobs in Virginia (NOW HIRING)

NAVA Software Solutions

Data Scientist

Merrifield, VA · On-site

Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling * Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis * Advanced ...

Ascensus Global Inc

Language Interpreter

Ashland, VA

$60 - $90/hr

In this role, interpreters will provide in-person, and possibly remote, support for new hires ... or market data, determine the final salary. AGI is committed to equal employment opportunity ...

Ascensus Global Inc.

Language Interpreter

Ashland, VA · On-site

$60 - $90/hr

In this role, interpreters will provide in-person, and possibly remote, support for new hires ... or market data, determine the final salary. AGI is committed to equal employment opportunity ...

MultiLingual Solutions

Language Interpreter

Ashland, VA · On-site

$60 - $90/hr

In this role, interpreters will provide in-person, and possibly remote, support for new hires ... or market data, determine the final salary. AGI is committed to equal employment opportunity ...

Beyond SOF

Data Analyst (TS/SCI, 3 yrs exp)

Reston, VA · On-site

Interpreting data will involve finding patterns or trends in data that will help you answer the question at hand. Present: Communicating the results of your findings will be a key part of your job.

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Data Interpreter information

See Virginia salary details

$29.2K

$65.2K

$70.4K

How much do data interpreter jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data interpreter in Virginia is $65,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,400.00 and $68,400.00 per year, depending on experience, location, and employer.

What is a Data Interpreter?

A Data Interpreter is a professional who analyzes, translates, and explains complex data sets to help organizations make informed decisions. They bridge the gap between raw data and actionable insights by interpreting trends, patterns, and statistical information. Data Interpreters often work with data analysts and business leaders to present findings in a clear, understandable way, ensuring that data-driven recommendations are accessible to non-technical stakeholders. Their work is essential in industries like business, healthcare, and government where data-driven decisions are key.

What is the highest paying interpreter job?

The highest paying interpreter jobs are often in specialized fields such as legal, medical, or technical interpreting, with freelance or agency-based interpreters earning six-figure incomes. Certified interpreters with rare language skills and extensive experience tend to command the highest salaries, especially when working in high-demand industries or providing remote services using advanced interpretation tools.

What is the role of data interpreter?

A data interpreter analyzes and explains data sets to help organizations make informed decisions. They identify patterns, trends, and insights using tools like Excel, SQL, or data visualization software, often working closely with data analysts or scientists. Strong analytical skills and attention to detail are essential for this role.

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

To thrive as a Data Interpreter, you need strong analytical abilities, statistical knowledge, and a background in mathematics, data science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software, and basic database querying (such as SQL) is commonly required. Excellent communication, attention to detail, and the ability to translate complex data into actionable insights are vital soft skills. These competencies are crucial for transforming raw data into meaningful information that supports informed business decisions.

What does the data interpreter do?

A data interpreter analyzes and translates raw data into understandable formats, such as charts or reports, to support decision-making. They often use tools like Excel, SQL, or data visualization software and need strong analytical skills and attention to detail.

How to become a data translator?

To become a data translator, develop strong skills in data analysis, statistics, and communication, often through a bachelor's degree in fields like data science, computer science, or related areas. Gaining experience with data visualization tools and understanding business needs is essential, and some professionals pursue certifications in data analysis or project management to enhance their qualifications.

How does a Data Interpreter typically collaborate with other departments within an organization?

Data Interpreters play a crucial role in bridging the gap between raw data and actionable business insights. They frequently collaborate with teams such as marketing, finance, and operations to understand their data needs and translate complex datasets into clear, meaningful reports. This often involves participating in cross-functional meetings, presenting findings, and ensuring that data-driven recommendations align with business goals. Effective communication and teamwork are essential, as Data Interpreters must tailor their analyses to different audiences and work closely with stakeholders to drive informed decision-making.
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What job categories do people searching Data Interpreter jobs in Virginia look for? The top searched job categories for Data Interpreter jobs in Virginia are:
Data Interpreter jobs near you
Data Scientist

Data Scientist

NAVA Software Solutions

Merrifield, VA • On-site

Contractor

Posted 17 days ago

Job description

NAVA Software solutions is looking for a Data Scientist
Details:
Data Scientist
Location: Merrifield, VA(Hybrid)
Duration: 12 Months Contract
Responsibilities:
  • Advanced skill in descriptive, predictive, and prescriptive analytics and modeling; demonstrated success in building models that are deployed and have made measurable business impact
  • Significant experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning
  • Advanced knowledge of advanced techniques such as: dimension reduction techniques, natural language processing, sentiment analysis, anomaly detection, geospatial analytics, etc.
  • Demonstrates a deep understanding of the modeling lifecycle
  • Advanced skill data mining, data wrangling, and data transformation with both structured and unstructured data; deep understanding of data models
  • Advanced skill interpreting, extrapolating, and interpolating data for statistical research and modeling
  • Advanced skill in Data Interpretation, Qualitative and Quantitative Analysis
  • Advanced skill in Python and R
  • Advanced skill in SQL and querying (able to pull/transform your own data)
  • Advanced knowledge of cloud computing technologies such as: Apache Spark, Azure Data Factory, Azure DevOps, Azure ML (Machine Learning), Hadoop, Microsoft Azure, Databricks, AWS, Google Cloud
  • Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
  • Familiar with Data Engineering concepts
  • Familiar with the use of standard ETL tools and techniques
  • Familiar with the concepts and application of data mapping and building requirements
  • Demonstrates a deep understanding of multiple data related concepts
  • Familiar with Data Integration, Data Governance and Data Warehousing
  • Advanced skill in Data Management, Data Validation & Cleansing and Information Analysis

Desired Qualifications and Education Requirements:
All Data Scientist Roles
  • Doctoral degree in Statistics, Mathematics, Computer Science, Engineering or another quantitative field, or related field
  • Familiar with project management concepts and frameworks such as Agile Frameworks (SAFE), Communication Strategy and Management, Delivery Excellence and Requirements management
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About NAVA Software Solutions

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NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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