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Data Analyst In Creative Industries Jobs in Kansas

... decisions in compliance with established corporate and department standards • Provides ... data analysis in the insurance industry or related field • At least 3 years of experience in ...

Senior Data Analyst

Overland Park, KS

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key ... Collaborate with MMGY Account, Media, Social, Paid Search, Creative, and MarTech teams to ...

Senior Data Analyst

Overland Park, KS · On-site +1

$85K - $107K/yr

We have an immediate opening for a Senior Data Analyst in our Overland Park, KS office. As a key ... Collaborate with MMGY Account, Media, Social, Paid Search, Creative, and MarTech teams to ...

The Commercial Data Analyst is responsible for developing, maintaining, and analyzing commercial ... Experience in healthcare, medical device, biotechnology, or life sciences industries * Knowledge of ...

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS ... Write and optimize SQL against large claims datasets in BigQuery; contribute to data pipelines ...

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS ... Write and optimize SQL against large claims datasets in BigQuery; contribute to data pipelines ...

Sr. Data Analyst (Looker)

Lenexa, KS · On-site

$80K - $100K/yr

The Senior Data Analyst serves as a trusted analytics partner to business leaders across the ... Experience in healthcare, laboratory services, insurance, or other regulated industries.

Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we're looking for a Business Data Analyst II who thrives on solving complex problems ...

Business Data Analyst II

Wichita, KS · On-site

$55K - $90K/yr

Are you ready to turn data into decisions that drive real impact in the supply chain world? At DHL Supply Chain, we're looking for a Business Data Analyst II who thrives on solving complex problems ...

... Analytics to optimize the user journey from first touch to demo, and using data to back it all up ... You bring: * * 12+ years in creative -- agency, in-house SaaS/tech, or integrated marketing * * 5+ ...

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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 Kansas? For Data Analyst In Creative Industries jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Data Analyst In Creative Industries jobs in Kansas look for? The top searched job categories for Data Analyst In Creative Industries jobs in Kansas are:
What cities in Kansas are hiring for Data Analyst In Creative Industries jobs? Cities in Kansas with the most Data Analyst In Creative Industries job openings:
Infographic showing various Data Analyst In Creative Industries job openings in Kansas as of June 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

Lockton, Inc.

Overland Park, KS • On-site

Full-time

Re-posted 15 hours ago


Lockton rating

9.0

Company rating: 9.0 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

37th of 299 rated insurance


Job description

Job Summary:
The Data Analyst is responsible for ongoing analysis of finance, client premium and revenue data, obtained from a variety of different sources. It involves development and preparation of information, reconciliations and reports for management, Associates, and other custom-built applications.
Essential Duties:
• Subject matter expert for finance, client premium and revenue data
• Generate standard and ad hoc reports on a regular basis
• Create Excel based data analysis tools to identify variances with macros
• The data analyst must be able to recognize data issues and work with providers of data to resolve problems
• Provides consulting, training, reporting and primary technical support as need for data intensive projects throughout the project lifecycle including post go-live
• Responsible for monitoring progress and maintaining responsibility for delivering project deliverables accurately and on time
• Ad hoc technical analysis of jobs, queries, reports, & other items across ERPs & Systems
Other Responsibilities:
• Makes decisions in compliance with established corporate and department standards
• Provides exceptional customer service and adheres to the Lockton philosophie
Requirements:
• BS/BA degree required
• At least 3 years of experience in data analysis in the insurance industry or related field
• At least 3 years of experience in working with project teams in an information technology environment
• Proficiency with Microsoft SQL, Microsoft Excel, Microsoft PowerBI and VBA for Excel macros
• Use advanced Excel capabilities, including pivot tables, lookups, complex formulas and graphing
• Familiarity with PeopleSoft query and nVision or Oracle Fusion and OTBI a plus
• Ability to express complex technical concepts effectively, both verbally and written
• Ability to work well with & and describe tasks to non-technical users
• Demonstrated ability to analyze data in a variety of formats and to provide recommendations and support in establishing strategic plans for undertaking data conversions
• Demonstrated effectiveness in working with multi-functional teams in a technical production environment
• Demonstrated ability to respond to customer requirements with timely and effective technical solutions
• Ability to synthesize data from multiple sources
• Superior attention to detail
• Ability to multitask without sacrificing the quality and accuracy of project deliverables
• Some overtime, off-shift support and travel may be required
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