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Advertising Data Analyst Jobs in Colorado (NOW HIRING)

Are you ready to harness your analytical and programming skills to create data-driven solutions ... advertising solutions via Spectrum Reach. When you join our team, you'll be keeping our customers ...

Our platform streamlines advertising sales, operations, billing, and revenue reporting, enabling ... Data Analyst experience is required. * Growth stage SaaS experience, management consulting, or ...

Our platform streamlines advertising sales, operations, billing, and revenue reporting, enabling ... Data Analyst experience is required. * Growth stage SaaS experience, management consulting, or ...

Our platform streamlines advertising sales, operations, billing, and revenue reporting, enabling ... Data Analyst experience is required. * Growth stage SaaS experience, management consulting, or ...

Senior Big Data Engineer

Westminster, CO

$56.25 - $74.50/hr

Demonstrate strong analytical skills with the ability to extract actionable insights from large ... advertising ecosystem. For decades, we've provided marketers from the world's leading brands the ...

Overview For this role, we are seeking a qualified Quality Assurance Analyst to join Epsilon ... data, technology and services company that powers the marketing and advertising ecosystem. For ...

Showing results 21-40

Advertising Data Analyst information

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$36

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How much do advertising data analyst jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for advertising data analyst in Colorado is $36.69, according to ZipRecruiter salary data. Most workers in this role earn between $26.44 and $44.47 per hour, depending on experience, location, and employer.

What does an advertising data analyst do?

An Advertising Data Analyst is responsible for collecting, analyzing, and interpreting data related to advertising campaigns. They help organizations understand the performance of their ads by identifying trends, measuring key metrics, and generating insights to optimize advertising strategies. Their work involves using data analysis tools, creating reports, and collaborating with marketing teams to improve campaign effectiveness and maximize ROI.

How does an advertising data analyst typically collaborate with creative and account teams to improve campaign performance?

An Advertising Data Analyst works closely with both creative and account teams by providing actionable insights derived from campaign data. They regularly share performance metrics, identify trends, and highlight areas for optimization, enabling creatives to refine messaging and account managers to adjust strategy. This collaborative approach ensures campaigns are data-driven, effective, and tailored to client objectives. Strong communication skills are essential, as analysts must translate complex analytics into clear recommendations for non-technical team members.

What are the key skills and qualifications needed to thrive as an advertising data analyst, and why are they important?

To thrive as an Advertising Data Analyst, you need strong analytical skills, expertise in statistics, and experience with digital marketing metrics, usually supported by a degree in marketing, statistics, or a related field. Proficiency in data analysis tools such as Google Analytics, SQL, Excel, and visualization platforms like Tableau is typically required. Critical thinking, attention to detail, and effective communication help analysts translate complex data into actionable marketing insights. These skills are vital to drive data-informed advertising strategies and optimize campaign performance.

What are popular job titles related to Advertising Data Analyst jobs in Colorado?

For Advertising Data Analyst jobs in Colorado, the most frequently searched job titles are:

What cities in Colorado are hiring for Advertising Data Analyst jobs?

Cities in Colorado with the most Advertising Data Analyst job openings:

Software Engineer II, Data Engineer

LG Ad Solutions

Denver, CO • On-site

$117K - $141K/yr

Full-time

Re-posted 24 days ago


Job description

Job Summary:
LG Ad Solutions is a global leader in connected TV (CTV) and cross-screen advertising. They are seeking a Software Engineer to join their Data & Platform Engineering team, focusing on designing and scaling data pipelines and ensuring data governance and compliance.
Responsibilities:
• Build and maintain a comprehensive understanding across multiple complex data pipelines and platform projects owned by the team.
• Design, develop, test, and deploy robust backend services and data pipelines processing terabytes of advertising and ACR data.
• Build and maintain internal platform tooling to enforce strict Data Governance, Data Quality, and Data Compliance standards across all data assets.
• Autonomously define the scope, technical enhancements, and deliverables for features of limited complexity, and provide accurate time estimates.
• Effectively contribute to the planning and development of features affecting multiple components across our data ecosystem with minimal guidance.
• Independently troubleshoot, debug, and resolve somewhat complex bugs within distributed environments and massive-scale data processing workflows.
• Comprehend and clearly communicate complex technical concepts—including technical designs, system architecture, and key engineering decisions—to both technical and non-technical stakeholders.
• Work closely with product managers, data scientists, and engineering counterparts in the US and India (requiring overlap with US time zones, typically aligning with core hours of 8 AM - 11 AM MST).
Qualifications:
Required:
• Bachelor's Degree in Computer Science, Engineering, or a related technical field.
• 1 to 2 years of relevant professional software development experience, with a strong preference for Backend or Data Engineering roles.
• Strong proficiency in Data Structures and Algorithms.
• Solid understanding of core Computer Science concepts, specifically Operating Systems, Computer Networks, and DBMS.
• Exceptional problem-solving and analytical skills, with a proactive, self-starter attitude.
• Clear and effective communication of technical challenges, both verbally and in writing.
• Demonstrated ability to collaborate effectively across time zones.
Preferred:
• Experience with Big Data processing frameworks, specifically Apache Spark (PySpark or Scala-Spark).
• Hands-on experience with modern data platforms like Databricks and orchestration tools like Apache Airflow.
• Experience building, maintaining, and scaling complex ETL processes.
• Familiarity with cloud computing platforms (AWS, GCP, or Azure) and related infrastructure.
• Understanding of distributed systems concepts and proficiency in Low-Level Design (LLD).
Company:
We’re a leader in helping brands find unduplicated reach across a fragmented TV landscape, and maximize return on ad spend. Founded in 2013, the company is headquartered in Mountain View, USA, with a team of 201-500 employees. The company is currently Growth Stage.