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Data Analyst In Creative Industries Jobs in Riverside, CA

Conducts analysis/audit/review of warranty data/costs and provides detailed reporting for product ... Assists in preparing semi-annual forecasts on yearly warranty spend and claim rates. * Develops and ...

Take the next step in your career with a company committed to excellence, where your contributions are recognized, and your potential is realized. Summary: The ERP Data Analyst supports and optimizes ...

Take the next step in your career with a company committed to excellence, where your contributions are recognized, and your potential is realized. Summary: The ERP Data Analyst supports and optimizes ...

Take the next step in your career with a company committed to excellence, where your contributions are recognized, and your potential is realized. Summary: The ERP Data Analyst supports and optimizes ...

The Associate Master Data Analyst will support the creation, maintenance, and governance of master ... Monday-Thursday in Office; Flexible Remote Friday. Key Responsibilities: * Maintain and update ...

The Associate Master Data Analyst will support the creation, maintenance, and governance of master ... Monday-Thursday in Office; Flexible Remote Friday. Key Responsibilities: * Maintain and update ...

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Data Analyst In Creative Industries information

See Riverside, CA salary details

$35.5K

$86.2K

$141.9K

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

As of Jul 3, 2026, the average yearly pay for data analyst in creative industries in Riverside, CA is $86,216.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 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 are popular job titles related to Data Analyst In Creative Industries jobs in Riverside, CA? For Data Analyst In Creative Industries jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Analyst In Creative Industries jobs in Riverside, CA look for? The top searched job categories for Data Analyst In Creative Industries jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Analyst In Creative Industries jobs? Cities near Riverside, CA with the most Data Analyst In Creative Industries job openings:
Korean Bilingual Data Analyst AO7177536

Korean Bilingual Data Analyst AO7177536

BTI Solutions

Santa Ana, CA

Full-time

Posted 23 days ago


Job description

Korean Bilingual Data Analyst AO7177536

Top Skills: Python, Data Modeling, Tableau
Korean/Bilingual
Top 4 things to focus on:
1. Experience in logistics, distribution center, warehouse, and/or supply chain environments
2. High proficiency in MS Excel, SQL, Access, PowerPoint, and BI Tools
3. Proficiency in SAP and WMS (Warehouse Management Systems)
4. Report automation & design
Job Description:
The Sr. Data & Reporting Analyst is responsible for all points of data mining, extraction, manipulation, analysis, and reporting. Accountable for developing and reporting daily, weekly and monthly analysis of key performance indicators related to warehouse operational metrics. This position requires an extremely detailed, timely, consistent and accurate approach to reporting. Having strong written and verbal communication skills are critical to succeed in this position as senior management and headquarters team will be the targeted audiences for the reports and analysis performed by this position. Reporting can also be used to set the priorities throughout the operations, ensuring that key issues are addressed. Daily/weekly briefings and communications are needed to ensure consistent information is shared throughout the operations. This position is a task-oriented role, requiring very good organizational skills and follow through. The position requires interaction with a broad number of employees to validate data and collaborate on discrepancies found. This position is a key role in the critical analysis of costs associated with the logistics warehouse and transportation operations & cost. This position is also responsible for supporting improvement opportunities throughout the organization, for monitoring discrepancies and escalating to appropriate parties.
In order to meet daily responsibilities, the candidate must be proficient with SAP, MS Excel, SQL, PowerPoint; and, must have experience developing dashboards using BI Tools.
Required Knowledge, Education and Experience:
Minimum 3 years of experience in reports and data analysis within logistics, distribution center, warehouse, and/or supply chain environments
Experience in cost analysis, and reporting of key performance indicators
High proficiency in MS Excel (40%), SQL (35%), Access, BI Tools, and PowerPoint (25%) is required
Experience in a logistics, warehouse, and/or supply chain (operations) environment is required
Experience with SAP is required
Bachelor's Degree in Business Analytics, Engineering, Mathematics, Accounting, or related field
Results driven and ability to handle multiple projects
Necessary Skills / Attributes:
Excellent analytical, decision-making, and problem solving skills
Strong data mining skills and experience extracting & manipulating data from multiple sources
Critical thinking skills - analysis, interpretation, inference, explanation, self-regulation, open-mindedness, and problem-solving
Strong math, communication, and organizational skills
Excellent attention to detail
Must be comfortable working in a multi-cultural business environment
Strong verbal and written communications skills
Ability to employ effective time management skills
Independently follow and execute work assignments
Must be able to work without supervision; self-starter
Ability to interact with all levels of management including executives
Performs work under time schedules and stresses which are normally periodic or cyclical, including time sensitive job stress, intellectual challenge, constant technical data feedback, and language barriers.
Duties & responsibilities will include but are not limited to:
Data & business analysis
Data mining & extraction from multiple sources to build reports
Daily, weekly, monthly report generation
Report automation & design
Maintaining existing dashboards; weekly & monthly analysis and reporting
Help drive critical business decisions by in depth analysis; provide recommendations based on findings
Develop models that help with decision-making
Identify opportunities for performance improvement
Publish standard and complex ad-hoc reports with varying detail for different audiences
Performance Standards
Data Accuracy - 99+% achievement rate
Timely Report Generation - 99+% achievement rate
Objective, simple presentation of data - 99+% achievement rate
__________________________________________
Beeline Summary:
The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions.

Why work at BTI?

We're committed to creating a workplace where employees feel valued, supported, and empowered to grow. Our team benefits from competitive compensation, comprehensive health and wellness offerings, and opportunities for professional development. We are proud to be an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected status.

We comply with all applicable federal, state, and local employment laws, including those related to fair hiring practices, pay transparency, workplace safety, and reasonable accommodations. We are dedicated to maintaining an inclusive environment where everyone has the opportunity to succeed and contribute meaningfully.