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Customer Analytics Jobs in Colorado (NOW HIRING)

Ra

Marketing Analytics Manager

Denver, CO

Who is proficient in Customer-level data analysis. Qualifications Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools. Who is good ...

SSA Group

Customer Success & Operations Analyst

Denver, CO · On-site

$60K - $70K/yr

Customer Success & Operations Analyst Who are we : In a digital world of complexities, Cinchio Solutions stands out. Seamlessly binding hospitality systems through data, software, and user experience.

PassTime

Customer Care Center Analyst Level I

Littleton, CO · On-site +1

$21.50 - $23/hr

Leading provider of award-winning GPS solutions seeking a Customer Care Center Analyst, Level I to support our customers. WHAT WE DO Headquartered a few miles south of Denver, in Littleton, Colorado ...

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Customer Analytics information

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How much do customer analytics jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for customer analytics in Colorado is $20.68, according to ZipRecruiter salary data. Most workers in this role earn between $17.21 and $22.74 per hour, depending on experience, location, and employer.

What does a customer analyst do?

A customer analyst examines customer data to identify trends, behaviors, and preferences that can inform marketing strategies and improve customer experience. They use tools like Excel, SQL, or analytics software and often analyze large datasets to support business decision-making. Strong analytical skills and understanding of customer segmentation are essential for this role.

What is the role of customer analytics?

Customer analytics involves analyzing customer data to understand behaviors, preferences, and trends, helping businesses improve marketing, sales, and customer experience strategies. Customer analysts use tools like data visualization and statistical software to interpret large datasets and support data-driven decision-making.

What are the key skills and qualifications needed to thrive in Customer Analytics, and why are they important?

To thrive in Customer Analytics, you need strong analytical skills, proficiency in statistics, and a background in fields like mathematics, business, or data science. Familiarity with technical tools such as SQL, Python or R, and experience with data visualization platforms like Tableau or Power BI are typically required. Excellent communication, problem-solving, and business acumen are important soft skills for translating data insights into actionable strategies. These skills ensure you can extract meaningful customer insights, drive business decisions, and contribute to organizational growth.

How do professionals in Customer Analytics typically collaborate with marketing and product teams?

Customer Analytics professionals frequently work closely with marketing and product teams to translate data insights into actionable strategies. They often participate in cross-functional meetings, sharing findings from customer behavior analyses to help refine marketing campaigns or inform product enhancements. This collaboration requires strong communication skills, as they must present complex data in a way that is accessible to non-technical stakeholders. The role often bridges the gap between raw data and business strategy, making teamwork and adaptability essential for success.

Is 40 too old to become a data analyst?

Customer analytics roles often value skills and experience over age, and many professionals transition into data analysis later in their careers. Gaining proficiency in tools like Excel, SQL, and data visualization, along with relevant certifications, can help individuals of any age succeed in becoming data analysts.

What is customer analytics?

Customer analytics is the process of collecting and analyzing data about customers’ behaviors, preferences, and interactions with a business. This information helps companies understand their customers better, segment their audience, and tailor products, services, and marketing strategies to meet specific needs. By leveraging customer analytics, organizations can enhance customer satisfaction, improve retention rates, and increase overall business performance. It often involves the use of data analysis tools, customer relationship management (CRM) systems, and predictive modeling to make informed decisions.

What is the difference between Customer Analytics vs Customer Data Analyst?

AspectCustomer AnalyticsCustomer Data Analyst
Primary FocusAnalyzing customer data to identify trends and insights for strategic decision-makingCollecting, cleaning, and interpreting customer data for reporting and operational purposes
Skills & CertificationsData analysis, statistical skills, knowledge of analytics tools, possibly marketing backgroundData management, SQL, Excel, basic analytics skills, often with a focus on data reporting
Work EnvironmentMarketing, business intelligence teams, often in data-driven companiesData teams, IT departments, or customer service units within organizations

Customer Analytics professionals focus on deriving strategic insights from customer data to inform marketing and business decisions. Customer Data Analysts handle data collection and reporting tasks to support operational needs. While both roles require data skills and work with customer data, Customer Analytics emphasizes strategic analysis, whereas Customer Data Analysts focus on data management and reporting.

How much does a Customer Insights analyst earn?

A Customer Insights analyst typically earns between $60,000 and $90,000 annually, depending on experience, location, and industry. Entry-level roles may start around $50,000, while experienced analysts with advanced skills in data analysis tools can earn over $100,000.
What are popular job titles related to Customer Analytics jobs in Colorado? For Customer Analytics jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Customer Analytics jobs in Colorado look for? The top searched job categories for Customer Analytics jobs in Colorado are:
What cities in Colorado are hiring for Customer Analytics jobs? Cities in Colorado with the most Customer Analytics job openings:
Customer Analytics jobs near you
Infographic showing various Customer Analytics job openings in Colorado as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $43,018 per year, or $20.7 per hour.

Marketing Analytics Manager

Ra

Denver, CO

Full-time

Re-posted 16 days ago

Job description

Company Description

About Client:

They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!!

Job Description

Job Title: Marketing Analytics Manager

Job Level: Mid - Senior Level


Job Description:

This is what you will do..

You will be using quantitative methods to assess the impact of offline and digital marketing.

You will be interacting with the client. 

You will be providing analyses, recommendations, presentations and advice to clients.

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting.

You will be leading a team and you will be responsible for team's growth.


We are looking for someone...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.





Qualifications

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.



Additional Information

All your information will be kept confidential according to EEO guidelines.

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