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Data Analytics Jobs in Reston, VA (NOW HIRING)

Palnar

Data Analytics

Reston, VA · On-site

... and Data Analyst teams to develop and implement the Ab Initio solution - Develop generic solutions using Ab Initio for new data integration requests - Analyze and investigate data quality issues ...

Airbus

Data Analytics Specialist

Dulles, VA · On-site

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

Ag

Data Analytics Specialist

Dulles, VA · On-site +1

In this context we are looking for a Data Analytics Specialist to join our Digital & Analytics Team in Herndon, VA . WHAT'S IN IT FOR YOU Here is a selection of some of the benefits we offer our ...

Sallie_mae

Manager, Data Analytics

Sterling, VA · On-site

Analyze complex data sets to identify patterns and trends that will drive business growth. * Develop models and forecasts to support business planning and decision-making. * Present findings and ...

rockITdata

Data & Analytics Consultant

Arlington, VA · Remote

Perform data wrangling tasks to ensure data quality and consistency. * Analyze datasets to identify patterns, trends, and insights. * Create basic data visualizations (e.g., charts, graphs) using ...

Mitre

Lead Software Developer, Data Analytics

Mclean, VA · On-site

Join the MITRE Data Analytics team where you will provide software development, algorithm development, and data analytics (to include big data analytics, data mining, and data science) to enable data ...

New

Amyx, Inc.

Lead Analyst- Data Analytics

Washington, DC · On-site +1

Data Management and Analytics, Certified Analytics Professional, Amazon Web Services (AWS) Certified Big Data - Specialty, or SAS Certified Big Data Professional) Benefits include: * Medical, Dental ...

Highspring

Manager, Data & Analytics

Mclean, VA · On-site

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients ...

Highspring

Manager, Data & Analytics

Mclean, VA

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients ...

Pantheon Data

Data Analytics Team Lead

Washington, DC · On-site

$100K - $190K/yr

This role will focus on advanced data analysis, performance measurement, data consolidation across multiple systems, and the development and maintenance of tools that improve data quality and ...

Highspring

Senior Consultant - Data & Analytics

Mclean, VA

$86K - $109K/yr

The Team - Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients ...

Pantheon Data

Data Analytics Team Lead

Washington, DC · On-site

$100K - $190K/yr

This role will focus on advanced data analysis, performance measurement, data consolidation across multiple systems, and the development and maintenance of tools that improve data quality and ...

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All JobsData Analytics JobsData Analytics Jobs in Reston, VA

Data Analytics information

See Reston, VA salary details

$25

$56

$98

How much do data analytics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for 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.

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

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Reston, VA? The most popular types of Data Analytics jobs in Reston, VA are:
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Data Analytics jobs near you
Data Analytics

Data Analytics

Palnar

Reston, VA • On-site

Full-time

Posted 8 days ago

Job description


5 Years' Experience
- Bachelor's degree in computer science, decision support systems (DSS), information engineering, business administration, or other related discipline. Masters degree in a related discipline is a plus.
- Experience with hands-on work designing and implementing data integration, Big Data, and/or business intelligence solutions
- Experience in design, development and tuning industry leading ETL, Big Data, and/or Business Intelligence software tools in data intensive, large scale environments.
- Must have hands-on Ab Initio ETL experience in a work (professional) setting.
- Good to have hands-on development experience with Hadoop and the Hadoop ecosystem including tools such as Hive, Spark, Spark Streaming, Kafka, Sqoop, Flume, etc.
- Strong SQL and data modelling skills like 3rd normal form and dimensional modelling
- Strong DB2/or any relational database, Java, and UNIX skills
- Understanding of newer or emerging trends such as Big Data, Columnar databases, NoSQL, Hadoop, MapReduce, social media, data visualization, XML, and unstructured text is a plus.
The responsibilities include, but not limited to:
- Coordinate with Enterprise Big Data Platform development and Data Product teams to understand the requirement
- Coordinate with Big Data, Ab Initio Admin, Data Architecture, and Data Analyst teams to develop and implement the Ab Initio solution
- Develop generic solutions using Ab Initio for new data integration requests
- Analyze and investigate data quality issues reported by Data Product teams
- Coordinate with Development and Prod Support team to investigate and address production issues
- Support releases by validating the data after deployments, as needed
Additional Skills:
- Excellent written and verbal communication
- Good to have hands on experience with CI/CD (Jenkins)
- Developing generic framework and automation
This is a hybrid role and the developer will be engaged in new development and operational tasks

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