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Data Analyst In Creative Industries Jobs in Colorado

Strong candidates located in Mountain Time will also be considered. The Enterprise Data Analyst is a firmwide shared-services role within the Firm's Data Science function. The analyst turns the Firm ...

Data Analyst Senior

Denver, CO · On-site +1

$107K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The Data Analyst Senior cleans up data for analysis and/or visual display in a report or dashboard ... In contrast to an Associate, the Senior will develop more autonomy to develop solutions and may ...

Civic Data Analyst (Sustainable Mobility)

Denver, CO

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our work is grounded in the belief that how places are designed and experienced has a profound impact on equity, health, and opportunity-and that people should always be at the heart of those ...

Data Analyst II

Denver, CO · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

... Data Analyst to support a Drilling & Completions (D&C) organization by transforming complex ... In this role, you will partner with engineering, operations, and leadership teams to deliver ...

In 2021, Morningstar Credit invested in DealX as part of the reorganisation, and in 2023, we ... Creative, Critical thinking and problem-solving skills. * Has good numeracy skills (ideally with ...

Commercial Data Analyst

Englewood, CO · On-site

$73K - $90K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Commercial Data Analyst position reports to the Director of Commercial Operations and Customer ... Do you thrive in a collaborative, innovative environment where your skills and ideas are valued?

THE ROLE As a Product Data Analyst, you will help identify promising markets, companies, products ... WHO THIS IS FOR This is a strong fit for candidates interested in consulting, finance, investment ...

Senior Data Analyst

Colorado Springs, CO · On-site

$75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

IDEA Senior Data Analyst Office of Institutional Data, Effectiveness, and Analytics Elevate Your ... Innovate, Inspire, and Impact in the Rockies! Who We Are The University of Colorado Colorado ...

Bilingual Data Analyst

Greenwood Village, CO · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Job#: 3045066 Bilingual Data Analyst Location: Greenwood Village, Colorado (Onsite) Role Overview ... Provide assistance in data preparation, data cleaning, data wrangling, and preprocessing tasks.

Sr. Data Analyst

Denver, CO · On-site

$85K - $104K/yr

Located in Denver, or willing to relocate. * 2+ years' experience in healthcare data analysis ... Internet Connectivity - Min Speeds: 3.8Mbps/3.0Mbps (up/down): Latency * Ability to travel and be ...

Payments Data Analyst

Englewood, CO

$63K - $90K/yr

  • Medical

  • Retirement

Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution ... The Payments Data Analyst addresses critical operational challenges by monitoring and optimizing ...

Payments Data Analyst

Englewood, CO · On-site

$63K - $90K/yr

  • Medical

  • Retirement

Our dynamic teams are unwavering in our commitment to continuous innovation, ensuring the evolution ... The Payments Data Analyst addresses critical operational challenges by monitoring and optimizing ...

Sr. Data Analyst

Denver, CO · On-site

$85K - $104K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Hybrid-Remote Flexibility -Work from home while fulfilling in-person needs at the office, clinic ... What You'll Do The Senior Data Analyst (Partner Analytics) will work across the organization to ...

Data Analyst I

Englewood, CO · Hybrid

$65K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

If you are passionate about making a mark in the insurance industry and align with our vision, we ... analysts and decision makers. * 2+ years of experience in a data-related role with working ...

Showing results 41-60

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:

Enterprise Data Analyst

Husch Blackwell LLP

Denver, CO • On-site, Remote

Full-time

Posted 23 days ago


Husch Blackwell rating

9.5

Company rating: 9.5 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

3rd of 34 rated law firms


Job description

Husch Blackwell LLP is a full-service litigation and business law firm with multiple locations across the United States, serving clients with domestic and international operations.

At Husch Blackwell we believe that diverse, equitable and inclusive teams lead to better outcomes. Husch Blackwell is committed to retaining, recruiting, developing, and promoting talented lawyers and business professionals with diverse backgrounds and experiences. We foster an engaged, diverse, and inclusive team culture of accountability and purpose that makes our Firm and our communities better.

Our firm is committed to attracting and retaining professionals who value each other and the service we provide by embracing Teamwork, Collaboration, Client Service, and Innovation. If you are a motivated professional looking for a long-term fit where you can grow in a role, and will be valued and empowered, then we invite you to apply to our Enterprise Data Analyst position. This position may be filled remotely or in a hybrid capacity in any of our Central and Eastern Time locations. Strong candidates located in Mountain Time will also be considered.

The Enterprise Data Analyst is a firmwide shared-services role within the Firm’s Data Science function. The analyst turns the Firm’s data, client data, and the extensive internal data the Firm maintains into clear, actionable insight, delivered primarily through Power BI dashboards and reports that teams across the Firm rely on. The role will initially support a key business unit, with scope expanding to serve additional practice groups and functions across the Firm over time. The right candidate will be skilled in the visual display of quantitative information and have a passion for high impact data storytelling. Essential functions include:

Data Analysis & Insight

  • Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns, and actionable insights
  • Clean, transform, and structure data to ensure accuracy, consistency, and readiness for analysis
  • Apply statistical and data-modeling techniques to answer business questions and support decision-making
  • Leverage AI and generative-AI tools to accelerate analysis, automate routine tasks, and enhance data products
  • Translate stakeholder questions into clearly defined analytical problems, prioritizing work by impact and urgency

Dashboarding & Reporting

  • Design, build, and maintain Power BI dashboards that serve as the Firm’s primary, everyday reporting tools
  • Build automated, self-service reports and visualizations in Power BI and Tableau, tailored to different audiences across the Firm
  • Use data storytelling to deliver client-facing data presentations and executive-level reports that communicate findings clearly to key partners, clients, and other internal and external stakeholders, and drive action
  • Collaborate with the Data Science Information Design and Engineering function to deliver data visualization and information rich analyses across various media types
  • Streamline and standardize reporting processes to ensure timely, accurate delivery of key metrics

Data Management & Quality

  • Partner with the Data Engineering team to source, integrate, and validate data from across the Firm
  • Develop and apply data quality standards to ensure reliable, trustworthy outputs
  • Document data sources, definitions, and methodologies to support consistency and reuse
  • Maintain and enhance existing datasets, models, and reporting pipelines

Cross-Functional Collaboration

  • Partner with teams across the Firm; including Finance and client-facing groups to gather requirements and align on objectives
  • Work directly with internal stakeholders and, where appropriate, clients to understand needs and deliver solutions
  • Connect analytical findings to business outcomes and Firm priorities

Continuous Improvement & Growth

  • Share knowledge and best practices to elevate data and analytics capabilities across the Firm
  • Identify opportunities to automate, improve, and scale analytics as the function grows
  • Contribute to building out the Firm’s enterprise data and analytics capabilities over time
  • Develop and improve reporting and business intelligence techniques to align the firm with leading edge information and business intelligence delivery
  • Engage in research and study to continuously improve the Firm’s reporting and business intelligence

POSITION REQUIREMENTS

  • Bachelor’s degree in statistics, economics, computer science, information design, or a related quantitative communications field; commensurate professional and educational experience shall also qualify
  • 3+ years in data analysis, business intelligence, or a related analytical role (the role may be filled at more than one level; strong candidates earlier in their careers will also be considered)
  • Advanced, demonstrable proficiency in Power BI is required; including building, publishing, and maintaining production dashboards
  • Strong proficiency in Excel and SQL, with experience querying and working with large, complex datasets
  • Proficiency with basic statistical and analytical tools including the Python statistical ecosystem
  • Experience working with data warehouses, databases, and modern BI/data platforms
  • Strong data storytelling skills, with a proven ability to design clear, effective data visualizations and deliver client-facing presentations to partners, clients, and other internal and external stakeholders
  • Experience with statistical modeling, regression analysis, and null hypothesis significance testing
  • Proven ability to independently scope and lead complex data analysis projects
  • Experience analyzing financial and operational performance metrics and the drivers behind them
  • Fluent in translating complex data into clear implications and actionable recommendations for the business
  • Comfortable working with large, complex datasets and developing data quality standards
  • Experience working directly with senior stakeholders and, where appropriate, clients
  • Operates with a client-service mindset; responsive, proactive, and a trusted advisor
  • Comfortable working at both strategic and tactical levels
  • Thrives in fast-paced environments with shifting priorities
  • Strong attention to detail and ability to maintain accuracy under pressure
  • Eager to contribute beyond assigned tasks and play a key role in the growth of a new, firmwide analytics function
  • Understanding of data confidentiality and the sensitivity of legal and client information

Preferred Qualifications

  • Experience supporting multiple business units or functions in a shared-services or enterprise environment
  • Experience with data pipeline or ETL processes and working alongside data engineers
  • Experience applying AI and generative-AI tools to accelerate and enhance analytics
  • Familiarity and comfort with executive level communication and presentations

The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of essential functions, responsibilities, or requirements. The Firm will provide reasonable accommodations as necessary to allow an individual with a disability to apply for and/or perform the essential functions of a position. If you need assistance to accommodate a disability, please contact HR.

COMPENSATION AND BENEFITS

Employees are entitled to compensation commensurate with skill and experience. The exact compensation will vary based on skills, experience, location, and other factors permitted by law. The expected compensation ranges for this position in various states and jurisdictions are as follows:

  • State of California: $116,000 - $237,000
  • State of Colorado: $107,000 - $191,000
  • State of Illinois: $105,000 - $204,000
  • State of Maine: $79,000 - $182,000
  • State of Maryland: $113,000 - $171,000
  • State of Massachusetts: $116,000 - $222,000
  • State of Minnesota: $116,000 - $192,000
  • Jersey City, NJ: $126,000 - $229,000
  • State of New York: $108,000 - $234,000
  • State of Vermont: $115,000 - $220,000
  • State of Virginia: $76,000 - $220,000
  • State of Washington: $113,000 - $214,000
  • Washington, D.C.: $150,000 - $220,000

The above salaries do not include a discretionary bonus, however bonus opportunities are non-guaranteed, and are dependent upon individual and firm performance. Full-time employees receive benefits including: medical and dental coverage; life insurance; short-term and long-term disability insurance; pre-tax flexible spending account for certain medical and dependent care expenses; an employee assistance program; Paid Time Off; paid holidays; participation in a retirement plan program after meeting eligibility requirements; and more.

Please include a cover letter and resume when applying.

EOE/Minority/Female/Disabled/Vet. Principal Applicants Only.

#LI-Remote
#LI-KW1


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