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Data Analyst In Creative Industries Jobs in Virginia

GRVTY

Data Analyst - Mid

Falls Church, VA

This role plays a critical part in improving preprocessing productivity and advancing mission ... Support data analytics, data cleaning, analyst workflow efficiencies, and ETL transformation ...

Analytic Services Inc

Data Analyst

Alexandria, VA

In this role, you will leverage data analytics, business intelligence, and reporting expertise to support strategic decision-making, improve compensation programs, and enhance workforce visibility ...

Analytic Services Inc

Data Analyst

Alexandria, VA · On-site

$99K - $144K/yr

In this role, you will leverage data analytics, business intelligence, and reporting expertise to support strategic decision-making, improve compensation programs, and enhance workforce visibility ...

Amentum

Data Analyst

Mclean, VA · On-site

This role is ideal for someone who is passionate about data analysis and enjoys identifying ... creative mindset to devise innovative solutions. * Proficiency in developing data products ...

Pae

Data Analyst

Mclean, VA · On-site

This role is ideal for someone who is passionate about data analysis and enjoys identifying ... creative mindset to devise innovative solutions. * Proficiency in developing data products ...

TLA-LLC

Data Analyst

Mclean, VA

Proficiency in SQL: Essential for querying and managing data in relational databases, including ... Soft Skills Analytical and Critical Thinking: The ability to logically approach complex problems ...

TLA-LLC

Data Analyst

Mclean, VA · On-site

Essential for querying and managing data in relational databases, including advanced functions like ... Soft Skills • Analytical and Critical Thinking: The ability to logically approach complex ...

Geo Owl

Data Analyst

Springfield, VA · On-site

A Day in the Life * ✓Analyze data holdings to assess diversity, coverage, and compliance with ... Your analysis identifies gaps, validates compliance, and recommends curation strategies that make ...

DS Technologies Inc

Technical Data Analyst

Mclean, VA · On-site

We believe in working collaboratively with our clients and employees to achieve success. DS Technologies Inc is looking for Technical Data Analyst role for one of our premier clients. Job Title:

Geo Owl

Data Analyst

Springfield, VA · On-site

A Day in the Life * Analyze data holdings to assess diversity, coverage, and compliance with government-directed standards; surface findings in visualizations the team can act on * Apply statistical ...

Elder Research

Data Analyst

Arlington, VA · On-site

This is a hybrid position Preferably located in the Washington DC area. As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software ...

State of Virginia

Data Analyst

Richmond, VA · On-site +1

$75K - $85K/yr

Minimum Qualifications Bachelor's degree in data analytics, statistics, public administration ... social sciences, or related field or equivalent years of demonstrated experience and knowledge.

New

STI

Data Analyst

Charlottesville, VA · On-site

Data Analyst Location: Charlottesville, VA 22902 Duration: 12+ Months 8am to 4.30pm Description ... Additional in-person days may be necessary for meetings with clients. Parking is free at our ...

Key Choice Group

Data Analyst

Richmond, VA · On-site

Data Analyst Our client, in the shipping and logistics/supply chain industry, is seeking a Data Analyst. This is a junior to mid-level, permanent/direct hire position. The employee will have ...

Elder Research

Data Analyst

Arlington, VA · Hybrid

This is a hybrid position Preferably located in the Washington DC area. As a Data Analyst of the Elder Research team, you will join a functional team of accomplished Data Scientists, Software ...

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Data Analyst In Creative Industries information

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 are popular job titles related to Data Analyst In Creative Industries jobs in Virginia? For Data Analyst In Creative Industries jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Analyst In Creative Industries jobs in Virginia look for? The top searched job categories for Data Analyst In Creative Industries jobs in Virginia are:
What cities in Virginia are hiring for Data Analyst In Creative Industries jobs? Cities in Virginia with the most Data Analyst In Creative Industries job openings:
Data Analyst In Creative Industries jobs near you
Infographic showing various Data Analyst In Creative Industries job openings in Virginia as of July 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 49% In-person, 18% Hybrid, and 33% Remote job distribution.

Data Analyst - Mid

GRVTY

Falls Church, VA

Other

Posted 18 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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