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Data Analyst In Creative Industries Jobs (NOW HIRING)

Gibson Dunn

Creative Director

New York, NY

... maintain data integrity and security. AI Aptitude * Exhibit willingness and aptitude for ... Demonstrate familiarity with emerging AI technologies in creative industries and ability to ...

Prophecy Technologies

Data Analyst

San Antonio, TX · On-site

Required Skills & Experience * 8+ years of experience as a Data Analyst in Banking and Financial Services . * Strong hands-on experience with SQL and Data Warehousing . * Experience with Commercial ...

City National Bank

Data Senior Analyst

Los Angeles, CA · On-site

$87K - $153K/yr

DATA SENIOR ANALYST WHAT IS THE OPPORTUNITY? The Senior Data Analyst works within the Insights ... complex issues in creative and effective ways * Requires specialized depth and/or breadth of ...

Samprasoft

Data Analyst

Great Lakes, IL · On-site

Data Analyst As a Data Analyst in our client's Genomics Research Center's Bioinformatics Engineering team, you will be responsible for developing and running workflows to standardize and load project ...

Sundaysky

Data Analyst

New York, NY · On-site

We are seeking an energetic, self-starter that combines an analytical mind with creative problem ... In a fast paced, ever-changing environment, you will be involved in the following - * Building ...

deciBel Research, Inc.

Data Analyst

Huntsville, AL · On-site

deciBel Research has an immediate opening for a Data Analyst in Huntsville, AL. Position Description: deciBel Research is seeking an experienced Data Analyst or Systems Engineer to perform analyst ...

Suvoda

Senior Data Analyst

Conshohocken, PA

$84K - $106K/yr

The Senior Data Analyst demonstrates analytical thinking and creative problem solving for business ... Build and maintain dbt models in Snowflake to support Power BI reporting. * Build and maintain ...

SWBC

Data Analyst

San Antonio, TX

As a Data Analyst in SWBC's financial institution group, you will have the opportunity to collaborate with various data resources across the data pipeline to provide end-to-end data solutions, assist ...

SWBC

Data Analyst

San Antonio, TX · On-site

As a Data Analyst in SWBC's financial institution group, you will have the opportunity to collaborate with various data resources across the data pipeline to provide end-to-end data solutions, assist ...

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Data Analyst In Creative Industries information

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$136K

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

As of Jun 26, 2026, the average yearly pay for data analyst in creative industries in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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 volume of data they handle. Creative industries generally offer lower salaries, but roles may require strong skills in data visualization tools and industry-specific knowledge. Compensation varies based on experience, location, and company size.

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 demand across many industries, including finance, healthcare, technology, and marketing, where they analyze large datasets to inform decision-making. The best industry depends on the analyst's skills, interests, and familiarity with specific tools like SQL, Excel, or Python, as well as industry-specific knowledge. Creative industries also value data analysts for audience insights and campaign optimization.

What does a creative analyst do?

A creative analyst in the creative industries examines data related to artistic projects, marketing campaigns, and audience engagement to inform strategic decisions. They use tools like Excel, Tableau, or SQL to analyze trends, measure performance, and support content development, often working closely with marketing and creative teams.

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.

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Data Analyst In Creative Industries jobs near you
Data Analyst in Reston VA

Data Analyst in Reston VA

Hexaware Technologies, Inc

Reston, VA • On-site

Other

Posted 27 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.

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