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Data Analyst In Creative Industries Jobs in Reston, VA

Data Analyst

Washington, DC · On-site

$71 - $79/hr

Must have at least 10 years overall in Data Analyst experience. Complete Description: The role of the Data Analyst is to provide data analysis support for the client, which is located within the ...

Data Analyst

Washington, DC · On-site

$61 - $68/hr

Candidate must have a minimum of 10 years overall in Data Analyst experience. The role of the Data Analyst is to provide data analysis support for the Office of the Chief Information Officer, which ...

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Pantheon Data was founded in 2011, initially providing acquisition and supply chain management ... Position Overview The Data Analyst supports the development of dashboards, reports, data ...

New

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Pantheon Data was founded in 2011, initially providing acquisition and supply chain management ... Position Overview The Data Analyst supports the development of dashboards, reports, data ...

New

Company Description Acumen Solutions is the trusted leader in Enterprise Cloud Transformation ... The Data Analyst specializes in collecting, organizing, and analyzing data from various systems.

Company Description Acumen Solutions is the trusted leader in Enterprise Cloud Transformation ... The Data Analyst specializes in collecting, organizing, and analyzing data from various systems.

Company Description Acumen Solutions is the trusted leader in Enterprise Cloud Transformation ... The Data Analyst specializes in collecting, organizing, and analyzing data from various systems.

Company Description Acumen Solutions is the trusted leader in Enterprise Cloud Transformation ... The Data Analyst specializes in collecting, organizing, and analyzing data from various systems.

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Data Analyst In Creative Industries information

See Reston, VA salary details

$35.4K

$86K

$141.5K

How much do data analyst in creative industries jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data analyst in creative industries in Reston, VA is $85,975.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,000.00 and $100,900.00 per year, depending on experience, location, and employer.

How does a Data Analyst in the creative industries typically collaborate with designers and content creators?

A Data Analyst working in creative industries often serves as a bridge between raw data and the creative team’s decision-making processes. They collaborate closely with designers, marketers, and content creators by translating analytics into actionable insights, such as identifying audience preferences or optimizing campaign performance. Regular meetings, brainstorming sessions, and clear communication are key, as analysts must convey complex data findings in ways that inform creative strategies without stifling innovation. This collaborative approach helps ensure that creative outputs are both data-driven and aligned with brand goals.

Which industry pays the highest data analyst?

Data analysts in the finance and technology industries tend to earn the highest salaries due to the complexity and demand for data-driven decision-making. Creative industries generally offer lower compensation compared to these sectors, but salaries can vary based on experience, location, and specific company budgets.

What does a Data Analyst do in the creative industries?

A Data Analyst in the creative industries gathers, processes, and interprets data to help organizations make informed decisions about content, marketing, and audience engagement. They work with data from various sources such as social media, sales, audience metrics, and digital platforms to identify trends and measure the effectiveness of creative projects. Their insights help creative teams optimize campaigns, target the right audiences, and improve the overall impact of their work. By turning complex data into actionable recommendations, they bridge the gap between creativity and business strategy.

What are the key skills and qualifications needed to thrive as a Data Analyst in Creative Industries, and why are they important?

To thrive as a Data Analyst in Creative Industries, you need strong analytical skills, a solid understanding of data visualization, and proficiency in statistics, usually supported by a relevant degree in data science, statistics, or a related field. Experience with tools like Excel, SQL, Tableau, Python, and familiarity with creative-specific platforms or datasets is highly valuable. Creativity, effective communication, and the ability to collaborate with both technical and non-technical teams help you bridge the gap between data and creative decision-making. These skills are essential for translating complex data into actionable insights that drive innovation and strategic direction in creative environments.

Which industry is best for data analysts?

Data analysts are in high demand across various industries, including finance, healthcare, technology, and marketing, due to their ability to interpret data and support decision-making. The best industry for a data analyst depends on their skills, interests, and the specific tools they are proficient with, such as SQL, Python, or Tableau. Industries with large data sets and a focus on analytics tend to offer more opportunities for growth and specialization.

Is a data analyst a creative job?

A data analyst in creative industries primarily focuses on analyzing data to inform decision-making, optimize processes, and measure performance. While the role involves technical skills like data visualization and statistical analysis, it generally is not considered a highly creative job, though it may require innovative problem-solving and interpretation of data insights. Creativity can play a role in presenting data effectively and developing new analytical approaches.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts in creative industries are still essential for interpreting insights, making strategic decisions, and applying domain knowledge. AI enhances productivity but does not fully replace the need for human judgment and expertise in complex or nuanced analysis. Developing skills in data visualization, programming, and AI tools remains valuable for data analysts in this field.

What is the difference between Data Analyst In Creative Industries vs Data Scientist In Creative Industries?

AspectData Analyst In Creative IndustriesData Scientist In Creative Industries
Required CredentialsBachelor's in Data, Statistics, or related field; proficiency in Excel, SQL, visualization toolsBachelor's or higher in Data Science, Computer Science, or related; knowledge of machine learning, programming languages like Python or R
Work EnvironmentCreative agencies, media companies, advertising firmsTech-driven creative firms, media companies, entertainment industry
Employer & Industry UsageCommonly employed for analyzing campaign data, audience insightsUsed for predictive modeling, advanced analytics, and developing AI solutions

While both roles analyze data within creative industries, Data Analysts focus on interpreting data to inform campaigns and strategies, whereas Data Scientists develop complex models and algorithms to extract deeper insights and predictive analytics.

What job categories do people searching Data Analyst In Creative Industries jobs in Reston, VA look for? The top searched job categories for Data Analyst In Creative Industries jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Analyst In Creative Industries jobs? Cities near Reston, VA with the most Data Analyst In Creative Industries job openings:
Data Analyst in Reston VA

Data Analyst in Reston VA

Hexaware Technologies, Inc

Reston, VA • On-site

Other

Re-posted 18 days ago


Job description

Data Analyst
Reston VA
 

Must have strong experience in Data Analysis in an enterprise DWH environment.

Advanced knowledge in SQL writing is required

Strong analyst background in data-oriented applications

Must have experience working in large, fast paced Agile projects.

Knowledge of Mortgage Industry – must be able to understand mortgage data.