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Data Analyst In Creative Industries Jobs in Iowa

Sr Data Analyst

Ankeny, IA · Remote

$80K - $101K/yr

The Senior Data Analyst turns complex data into clear, actionable insights that drive business ... In this role, you will develop scalable analytics assets, serve as our Power BI expert, and promote ...

Data Analyst 1

Des Moines, IA · On-site

$63K - $98K/yr

What's in It for You. Impactful Work: Be at the forefront of improving public safety in Iowa by enhancing the department's data analysis and visualization capabilities. Your work will directly ...

Gathers and defines reporting and data requirements in collaboration with managers and operational ... Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy.

Gathers and defines reporting and data requirements in collaboration with managers and operational ... Develops SQL queries and analytical logic to validate ETL outputs and reporting accuracy.

In this high-visibility role, you will interact regularly with management and collaborate closely ... Analyze vendor data, ensuring changes are applied to current vendor payment processes * Identifying ...

Proficiency in using data visualization tools such as Tableau, Power BI, or Quicksight * A strong ... Strong analytical skills with the ability to translate data into actionable insights * Excellent ...

In this high-visibility role, you will interact regularly with management and collaborate closely ... Analyze vendor data, ensuring changes are applied to current vendor payment processes * Identifying ...

In this high-visibility role, you will interact regularly with management and collaborate closely ... Analyze vendor data, ensuring changes are applied to current vendor payment processes * Identifying ...

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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.

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 the creative industries?

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.

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 Iowa?

For Data Analyst In Creative Industries jobs in Iowa, the most frequently searched job titles are:

What job categories do people searching Data Analyst In Creative Industries jobs in Iowa look for?

The top searched job categories for Data Analyst In Creative Industries jobs in Iowa are:

What cities in Iowa are hiring for Data Analyst In Creative Industries jobs?

Cities in Iowa with the most Data Analyst In Creative Industries job openings:

Infographic showing various Data Analyst In Creative Industries job openings in Iowa as of June 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 60% In-person, 14% Hybrid, and 26% Remote job distribution.

Sr Data Analyst

Mom's Meals

Ankeny, IA • Remote

$80K - $101K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago


Mom's Meals rating

6.1

Company rating: 6.1 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

15th of 24 rated food delivery companies


Job description

The Senior Data Analyst turns complex data into clear, actionable insights that drive business outcomes. In this role, you will develop scalable analytics assets, serve as our Power BI expert, and promote the advancement of analytics across our organization. You will independently partner with executive stakeholders on challenging data problems, support BI infrastructure, develop scalable data assets, and conduct exploratory analyses that create new value. 

 Do you enjoy building systems you can take pride in, discovering insights that create measurable value, and working in a role that is both business-facing and technical? If you want to grow your data career with mentorship, resources, and meaningful ownership, this could be a great role for you. 

 The primary tools used in this role are Databricks, SQL, R, Power BI, and related Microsoft Fabric capabilities. 

 
Remote hires will be required to travel to our headquarters in Ankeny, IA (company paid) on their first day for orientation.
 
At this time, we are NOT considering applicants that require immigration sponsorship (additional work authorization or permanent work authorization) now or in the future to work in the United States. This includes, but IS NOT LIMITED TO: F1-OPT, F1-CPT, H-1B, TN, L-1, J-1, etc.
 
Salary range: $85,000-90,000 plus 10% bonus
 
Benefits
Our employees enjoy a generous package of benefits that we are thrilled to provide, and feel is part of what makes us different as an employer. We value our team members, and this is one way we can show it.
 
Benefits include:
-PTO, holiday pay and holiday of choice
-401(k) match
-Life insurance
-Short-term disability
-Health, dental and vision insurance
-Maternity/paternity leave
-Health savings account (HSA)
-Flex spending accounts (FSA) - health and dependent
Position Responsibilities may include, but not limited to
  • Support Power BI administration, including workspace governance, access management, deployment practices, and platform standards.
  • Architect and publish trusted Power BI datasets, semantic models, and dashboards using DAX and Power Query, applying development standards that improve usability, adoption, and long-term maintainability.
  • Adopt and champion BI development standards across the organization, including naming conventions, documentation expectations, quality checks, and release practices.
  • Stay current with emerging analytics methodologies, technologies, and capabilities.
  • Support high-impact analytics initiatives from problem framing through delivery; quantify value, design robust analyses, and communicate recommendations to business partners and executives.
  • Develop analytics products and solutions using Databricks, dbt, custom scripting, and BI tools.
  •  Implement advanced analytics where applicable, using scalable scripts and Databricks workflows to support modeling, automation, and repeatable analysis.
  • Build performant Databricks workflows (notebooks, jobs, SQL Warehouses) to wrangle large datasets, engineer features, and automate recurring analyses.
  • Partner with Data Engineering to design scalable data solutions, clarify upstream data requirements, and ensure analytics assets are built on reliable data foundations.
  • Own analysis quality through data validation, experiment and study design, sensitivity checks, reproducibility, versioning, and documentation.
  • Define and monitor KPIs tying operational reporting directly to business objectives. 
Required Skills and Experience
  • 4-8 years in analytics roles, including 2+ years leading projects with cross-functional business stakeholders
  • 2+ years administering a Power BI or Microsoft Fabric environment, including workspace governance, permissions, deployment practices, and user support.
  • Proven impact delivering analytics in complex environments (messy data, ambiguous scope) with measurable business outcomes
  • Microsoft Fabric and Power BI: data modeling, DAX, Power Query, semantic models, calculation groups, deployment pipelines, and workspace governance.
  • Statistical and financial analytics expertise, including analysis design, interpretation of results, and business case development.
  • Expert proficiency in writing production-level SQL with query optimization over large, partitioned tables
  • Knowledge of AI-assisted analytics development, and AI-assisted analytics tools
  • Versioning and Reproducibility: Gitbased workflows; disciplined documentation, and peer review
  • Proficiency in R to create reproducible workflows, conduct statistical testing, and develop basic models.
  • Executive storytelling: translate complex analyses into clear narratives, recommended actions, and solutions that support decision-making.
  • Stakeholder partnership: influence cross-functional partners, set expectations, drive alignment, and maintain trust through clear communication.
  • Product mindset: understand and define problem statements, success metrics, and iterate with feedback - drives adoption of analytics products and solutions 
 
 
Preferred Skills and Experience
  • Certifications in Databricks, dbt, Power BI, or cloud platforms (Azure preferred)
  • Familiarity with data governance tools and compliance standards
  • Product management training or analytics product delivery experience  
Physical Requirements
  • Repetitive motions that include the wrists, hands and/or fingers
  • Sedentary work that primarily involves sitting, remaining in a stationary position for prolonged periods
  • Visual perception to perform job including peripheral vision, depth perception, and the ability to adjust focus
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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