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Data Analyst In Creative Industries Jobs in Colorado

Data Analyst

Denver, CO · On-site

$120K - $150K/yr

Our vision is to create a world where homeowners and contractors in all 50 states can leverage our ... About the Role & Your Impact We're looking for a Data Analyst to build the foundation the rest of ...

New

Data Analyst

Boulder, CO · On-site

$100K - $150K/yr

The person in this position will be tasked with performing ad hoc analysis and developing pipelines to securely store raw data, catalog this data and prepare it for downstream analysis. A successful ...

In all cases, new infrastructure should strengthen the resilience of the fundraising data ecosystem and ensure that important data eventually makes its way into Salesforce. This is a hands-on analyst ...

Data Analyst

Aurora, CO · On-site

$65 - $95/hr

In this role, you will collect, process, and analyze data to support business decisions and uncover trends that drive success. Working collaboratively with various teams, you will develop dashboards ...

Data Analyst

Almont, CO · On-site

$55 - $65/hr

Identify opportunities for digital transformation in clinical trials. * Develop and implement digital solutions to streamline data collection, analysis, and visualization. * Design and implement ...

In all cases, new infrastructure should strengthen the resilience of the fundraising data ecosystem and ensure that important data eventually makes its way into Salesforce. This is a hands-on analyst ...

Our vision is to create a world where homeowners and contractors in all 50 states can leverage our ... About the Role & Your Impact We're looking for a Data Analyst to build the foundation the rest of ...

Data Analyst

Denver, CO · On-site

$70 - $100/hr

Our vision is to create a world where homeowners and contractors in all 50 states can leverage our ... About the Role & Your Impact We're looking for a Data Analyst to build the foundation the rest of ...

New

In all cases, new infrastructure should strengthen the resilience of the fundraising data ecosystem and ensure that important data eventually makes its way into Salesforce. This is a hands-on analyst ...

Data Analyst Client: CO CDE Location: 201 E Colfax Ave Denver, Colorado 80203-0000 (Remote ... Analyze existing mappings and workflows to support rebuild or refactor in IDMC. * Assist with ...

Data Analyst

Lakewood, CO · On-site

$20.08/hr

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... Log operation stats * Assist in providing training to personnel on the operations of each system ...

The Data Analyst performs technical efforts including creating and modifying alarm accounts ... Log operation stats * Assist in providing training to personnel on the operations of each system ...

Upstream Data Analyst Denver, Colorado Petro-Hunt, L.L.C., a Dallas, Texas mid-sized independent ... in various industries with a primary focus in the oil and gas industry. Our company traces its ...

New

Senior Data Analyst

Denver, CO · On-site +1

$90K - $120K/yr

We do this in three ways - data analytics, data diligence, and fractional data science. Our clients are growth stage companies looking to drive additional value from the data they are sitting on.

You are powerful in data science, business reporting, and statistical analysis. * You are ... proficient in Business Intelligence and Reporting. * You are an expertise with R, SAS, SPSS. * You ...

Showing results 21-40

Data Analyst In Creative Industries information

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.

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

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

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

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

Data Analyst

Zero Homes

Denver, CO • On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 3 days ago

New


Job description

About Zero Homes

Our mission is to rebuild American communities through healthy, affordable homes.


At Zero Homes, we operate on a simple premise: when you make contractors successful, homeowners win. The current home services industry is fragmented, complex, and opaque, which is frustrating for homeowners and exhausting for contractors. We are changing this by building a home upgrade marketplace that enables a simple, central, transparent process for homeowners and contractors to complete projects.


Through our platform we handle design, quoting, procurement, and customer service, allowing our contractor network to focus on what they do best and make them money: delivering projects. For homeowners, this delivers a predictable, high-quality, and transparent experience, transforming home upgrades from a source of anxiety into a seamless experience. Our vision is to create a world where homeowners and contractors in all 50 states can leverage our platform to execute thousands of projects every week within the next 36 months.


We work by a clear set of values:


  • Be a "can kid," not a "can't kid": We own our outcomes and go to extraordinary lengths to solve problems.

  • Go fast, be clear: Speed is our advantage, and we sweat the details to deliver an extraordinary customer experience.

  • Customer & Contractor Obsessed: We have a deep, personal understanding of the work to be done. We stay curious about our contractors' craft and the stories of our homeowners.

  • Win, as a team: We are building an iconic business that will reinvent the industry, and will do so together.


If you are ready to build a world-class consumer experience that genuinely rebuilds American communities, come build with us.

About the Role & Your Impact

We're looking for a Data Analyst to build the foundation the rest of the company thinks on. Reporting to the Sr. Manager of Business Operations, you'll turn the data flowing through every part of Zero (sales, marketing, fulfillment, supply chain, and finance) into trusted, queryable, reusable datasets and the analysis that runs on top of them.

Today our data lives in a lot of places: HubSpot, PostHog, our platform, spreadsheets, and program partner files. That means good questions take too long to answer and the same number sometimes comes back three different ways. Your job is to fix that at the root, then use it: model the data properly, make it accessible, and do the analysis that turns it into decisions. You'll be the person the team trusts when the number matters.

What You'll Do

Data Foundations

 
  • Build and own our core datasets: model data across HubSpot, PostHog, our platform, and financial and operational sources into clean, documented tables everyone can rely on.

  • Own data quality end to end: instrument new processes so they're measurable from day one, and find and fix the breaks before someone else finds them in a board deck.

  • Document metrics, definitions, sources, and methods so numbers mean the same thing to everyone and analyses are reproducible.

  • Reduce the cost of every future question by leaving the data model better than you found it.

 

Analysis

 
  • Do the analysis, not just the plumbing: funnel conversion by market and channel, install throughput and cycle times, capacity utilization, cohort behavior, and unit economics.

  • Get to root cause. When a number moves, you dig through the layers (data, process, and people) until you understand and communicate why.

  • Support experiment and program measurement, partnering with Growth and Sales on what actually moved the outcome.

  • Deliver clear, decision-ready findings with quantified impact, not just charts.

 

Enablement & Tooling

 
  • Make the business self-serve: build the reporting and tooling that answers recurring questions without a human in the loop.

  • Build durable tooling rather than one-off spreadsheets, so the work compounds instead of expiring.

  • Help teams ask better questions of the data, and be the person they trust when the number matters.

  • Leverage AI tools to compress the time between question, query, and answer.

What You Bring
  • 3-6 years in data analytics, analytics engineering, or a similarly technical analytical role, ideally at a high-growth company.

  • Strong SQL. You write it daily, you can model data (not just query it), and you know why a number is wrong before someone tells you it is.

  • Real technical range: Python or R for analysis, comfort with version control, and the ability to build something durable rather than a one-off spreadsheet.

  • Business sense beyond the numbers: you understand how funnels, field operations, and customer experience actually work, and you pick the questions worth answering.

  • Strong communication skills: you can present findings to leadership, make a complex analysis feel simple, and land a recommendation.

  • Intellectual honesty: you report what the numbers say, including when they contradict the popular narrative or your own prior analysis.

  • You've AI-enabled yourself to move fast across whatever stack you land in.


Nice to Have


  • Experience in home services, energy, construction tech, marketplaces, or businesses with physical operations.

  • Experience building a data stack from an early stage (warehouse, transformation, BI) rather than inheriting one.

  • Experience with PostHog or other product analytics tooling.

  • Experience with job costing, project-based economics, or external partner reporting.


\uD83D\uDCC8 Equity


\uD83E\uDE7A Medical, Dental, and Vision


\uD83C\uDFDD️ 4 Weeks PTO + unlimited sick days


\uD83C\uDFE0 Primarily an in-office role, with a flexible schedule


\uD83D\uDDA5️ Workstation stipend


Pay offered may vary depending on multiple individualized factors, including job-related knowledge, skills and experience. This role also includes meaningful equity compensation so successful candidates can participate in our company's accelerating growth.


Zero Homes is committed to creating an inclusive and accessible experience for all candidates. We encourage you to apply even if you believe that you do not meet all of the above criteria!