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Data Analyst In Creative Industries Jobs in Remote, OR

SOSi

Senior Data Scientist

OR · On-site +1

... analytic workflows for predictive and prescriptive intelligence. * Proficient in deep learning ... Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML ...

SOSi

Senior Data Scientist

Myrtle Point, OR

... analytic workflows for predictive and prescriptive intelligence. * Proficient in deep learning ... Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML ...

Odyssey

Data Protection Specialist

OR · Remote

... * Assist in addressing Data Protection control audits. Skills, Knowledge & Abilities: * Varonis SaaS engineering and analysis experience is a must * Microsoft Purview, Netskope or other DLP ...

Lumen Technologies

Senior Data Scientist

OR · Remote

$84K - $112K/yr

In this role, you'll leverage Databricks, Generative AI, and advanced analytics to create scalable ... Develop scalable data pipelines, workflows, and reporting solutions using Databricks, Data Factory ...

New

Data Analysis Inc.

Lead IAM Engineer - Remote

OR · Remote

$125K - $140K/yr

Company Description Data Analysis Inc (DAI) is the parent company of a global group of privately held firms in fields ranging from institutional equity markets to digital investment news and ...

RR Donnelley

Sr eBilling Analyst - Legal

OR · On-site +1

$31.25 - $33.65/hr

... industries. We're a people-powered organization. With a presence in North America, the UK, Europe ... Populate, maintain, and update data for assigned clients in the billing system and clients ...

RR Donnelley

Sr eBilling Analyst - Legal

OR · On-site

$31.25 - $33.65/hr

... industries. We're a people-powered organization. With a presence in North America, the UK, Europe ... Populate, maintain, and update data for assigned clients in the billing system and clients ...

Lumen Technologies

Business Intelligence Analyst

OR · Remote

$67K - $90K/yr

... in an AI-driven world. By connecting people, data, and applications quickly, securely, and ... The Role The Business Intelligence Analyst is responsible for designing, delivering, and supporting ...

Sara Software Systems

Be Seen First

Senior Business Analyst

OR · Remote

$94K - $122K/yr

Evaluate, analyze, and communicate systems requirements on a continuing basis, and maintain systems ... data visualization * Highly proficient technical writing capabilities * Ability to work well in a ...

New

Sara Software Systems

Be Seen First

Senior Business Analyst

OR · Remote

$94K - $122K/yr

Evaluate, analyze, and communicate systems requirements on a continuing basis, and maintain systems ... data visualization * Highly proficient technical writing capabilities * Ability to work well in a ...

New

Sapiens

Business Analyst

OR · On-site +1

Assists in identifying and documenting business requirements and verifying quality assurance of the ... With agile intelligence, Sapiens' solutions turn real-time data and human insight into precise ...

Chobani

Senior Analyst, Customer Supply Chain

OR · On-site

$73K - $91K/yr

The Customer Supply Chain Senior Analyst plays a critical role in driving execution of ... Strong experience working with multiple data sources (e.g., POS data, shipment data, inventory ...

Syniti

Lead, Commercial Finance

OR · On-site +1

... data management, analytics, governance, and strategy. Operating globally across industries, Syniti's award-winning software, expert consultants give enterprises a unique edge in managing and ...

New

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All JobsData Analyst In Creative Industries JobsData Analyst In Creative Industries Jobs in Remote, OR

Data Analyst In Creative Industries information

See Remote, OR salary details

$34K

$82.6K

$135.9K

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

As of Jul 15, 2026, the average yearly pay for data analyst in creative industries in Remote, OR is $82,559.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $96,900.00 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 are popular job titles related to Data Analyst In Creative Industries jobs in Remote, OR? For Data Analyst In Creative Industries jobs in Remote, OR, the most frequently searched job titles are:
What job categories do people searching Data Analyst In Creative Industries jobs in Remote, OR look for? The top searched job categories for Data Analyst In Creative Industries jobs in Remote, OR are:
What cities near Remote, OR are hiring for Data Analyst In Creative Industries jobs? Cities near Remote, OR with the most Data Analyst In Creative Industries job openings:
Data Analyst In Creative Industries jobs near you
Senior Data Scientist

Senior Data Scientist

SOSi

OR • On-site, Remote

Full-time

Re-posted 28 days ago

Job description

Company Description
Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.
Job Description
SOSi is seeking a Senior Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.
Essential Job Duties:
  • The contractor shall design and implement advanced ML models and statistical methods to optimize forecasting, risk assessment, and decision-making processes.
  • The contractor shall conduct data provenance tracking, ensuring documentation of sources, transformations, and lineage for compliance with governance policies.
  • The contractor shall submit the Data Provenance & Lineage Report, summarizing transformation workflows, feature engineering processes, and audit compliance.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.

Qualifications
  • Active TS/SCI Clearance.
  • Master's degree in Data Science, Machine Learning, Statistics, or a related field, or;
    • nine (9) years of equivalent experience in AI/ML model development and deployment.
  • Personnel must have demonstrated experience in building and validating AI/ML models using Python, TensorFlow, PyTorch, or Scikit-learn, integrating models into production environments, and optimizing performance for real-time analytics.
  • Experience with Databricks, Apache Spark, or similar distributed data processing frameworks is required.
  • Experience working with geospatial datasets and integrating AI/ML solutions into mission-critical applications.
  • Possess the knowledge and capability to develop advanced machine learning models and optimize analytic workflows for predictive and prescriptive intelligence.
  • Proficient in deep learning, supervised and unsupervised learning techniques, data wrangling, and feature engineering.
  • Experience with data provenance tracking, model explainability, and bias mitigation in AI/ML applications is required.
  • Personnel must be able to translate operational challenges into analytic solutions, ensuring integration of structured, unstructured, and geospatial data.

Preferred Qualifications:
  • Desirable but not required certifications include Google Professional Machine Learning Engineer, Microsoft Certified: Azure Data Scientist Associate, or TensorFlow Developer Certification.

Additional Information
Work Environment
  • Full remote flexibility.

Working at SOSi
All interested individuals will receive consideration and will not be discriminated against for any reason.

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