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Data Analytics Research Assistant Jobs in Colorado

Senior Data Analyst

Denver, CO ยท Remote

$90K - $120K/yr

Candidate will complete data analytics and data science projects for clients * Candidate will be a key leader in researching and helping the company learn about new technologies/skillsets that are ...

Senior Research Assistant

Denver, CO ยท On-site

$21.83 - $30.56/hr

We are recruiting for a mission-driven Senior Research Assistant to join our team! We're with you ... analyzing data. (10%) * Builds and maintains strong relationships with research subjects, teams ...

Research

Denver, CO ยท On-site

$19.29 - $55/hr

Research Assistant * Research Associate * Research Scientist These are non-benefited, part-time ... Data analysis and interpretation. * Report generation. * Participation in grant writing. Knowledge ...

You will own a revenue number, lead executive-level conversations, and have visible impact in a scaling analytics business. You will also work closely with research, product, data, and client-service ...

Account Executive

Greenwood Village, CO ยท On-site

$70K - $100K/yr

You will own a revenue number, lead executive-level conversations, and have visible impact in a scaling analytics business. You will also work closely with research, product, data, and client-service ...

Showing results 21-40

Data Analytics Research Assistant information

What does a data analytics research assistant do?

A Data Analytics Research Assistant supports research projects by collecting, cleaning, and organizing data, performing statistical analyses, and generating visualizations and reports. They assist with designing experiments, managing databases, and interpreting data to identify trends and insights. Their work helps researchers make evidence-based decisions and advance knowledge in various fields, such as business, healthcare, or social sciences.

How does a data analytics research assistant typically collaborate with other team members on research projects?

Data Analytics Research Assistants frequently work alongside data scientists, researchers, and subject matter experts to support research initiatives. They are often responsible for cleaning and preparing data, conducting exploratory analyses, and visualizing findings to facilitate team discussions. Regular meetings and open communication are essential, as assistants may need to present preliminary results, seek feedback, and adjust their analyses based on project goals. This collaborative environment fosters learning and provides opportunities to contribute to published research and gain exposure to advanced analytics methodologies.

What is the difference between Data Analytics Research Assistant vs Data Analyst?

AspectData Analytics Research AssistantData Analyst
Required CredentialsBachelor's degree in data science, statistics, or related fieldBachelor's or master's degree in data science, statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness, corporate, or industry settings
Employer & Industry UsageUniversities, research institutes, government agenciesPrivate companies, consulting firms, finance, marketing
Common Search & ComparisonYesNo

The Data Analytics Research Assistant typically supports research projects by collecting and analyzing data in academic or research settings, often requiring a focus on experimental or theoretical work. In contrast, Data Analysts work primarily in industry, analyzing business data to inform decision-making. While both roles require similar educational backgrounds, their work environments and primary objectives differ significantly.

What are the key skills and qualifications needed to thrive as a data analytics research assistant, and why are they important?

To thrive as a Data Analytics Research Assistant, you need a solid background in statistics, data analysis, and research methods, typically supported by a relevant degree in fields like statistics, computer science, or economics. Proficiency with technical tools such as Python, R, SQL, and data visualization platforms like Tableau or Power BI is commonly expected. Strong attention to detail, critical thinking, and effective communication skills help you interpret data accurately and present findings clearly. These competencies are essential for producing reliable analyses that support data-driven decision-making in research environments.
What are popular job titles related to Data Analytics Research Assistant jobs in Colorado? For Data Analytics Research Assistant jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Analytics Research Assistant jobs in Colorado look for? The top searched job categories for Data Analytics Research Assistant jobs in Colorado are:
What cities in Colorado are hiring for Data Analytics Research Assistant jobs? Cities in Colorado with the most Data Analytics Research Assistant job openings:
Infographic showing various Data Analytics Research Assistant job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Manager, Analytics & Insights

Horizon Family Brands

Broomfield, CO โ€ข On-site

$105K - $125K/yr

Other

Re-posted 3 days ago


Job description

About the Company:

At Horizon Family Brands, weโ€™re growing a culture of passionate people driven to do good for the horizon we all share. Weโ€™re building the tomorrow we want to see. Every single day.


Joining our team means being part of a dynamic environment where your skills are valued, and your contributions make a real difference. We offer diverse opportunities for career growth and development. Embark on a rewarding journey with us in shaping the future of organic dairy!


The role is based out of our Broomfield, CO office, with the expectation of hybrid work, 3 days in office.


Job Summary

The Analytics & Insights function supports the company in its effort to be a consumer and customer-centered organization across our three brands: Horizon Organic, Wallaby, and Maple Hill. We drive strategic clarity and precision in cross-functional partnership efforts with our category, brand, commercial, revenue growth management, Category Management and sales teams to capture value by bringing facts, insights and analytical diagnosis to business challenges. We drive rigor and understanding of consumers, shoppers, categories, customers, products, competitors and cultural trends.


About the Job:

The role will report to the Director, Insights & Analytics and upon joining, will work with the Director to develop and implement a plan for managing data, analytics, and reporting for the business. This will require close collaboration with our secondary data supplier partners, internal stakeholders that use the reports, and support teams like IT to ensure the right systems and technology are in place.



The Manager will be responsible for managing relationships with data providers and leveraging these resources to support the business. The Manager will need to quickly establish expertise and be comfortable taking a stand to influence decisions with high level stakeholders.



The Manager will be expected to grow into an Analytics & Insights leader for Horizon Family brands business and champion the use of insights to support decision-making throughout the organization. This may include:

  • Provide mentoring and training on best practices across teams
  • Work with the Director and Sr Manager on direction and vision for the Analytics & Insights team
  • Expand their skill set to manage the breadth of Analytics & Insights responsibilities, including primary research (brand health tracking, concept and product testing, etc., depending on needs)



The base compensation range for this position is $105,000-$125,000 commensurate with experience.



About you:

The individual in the role will need to be detail-oriented but also able to zoom out to see the big picture. Additionally, strong skillset in data analysis, data visualization, and story-telling are going to be key to success in this role.


Ideal qualifications:

  • BA/BS required, ideally in a relevant field
  • 5+ years of experience working with point of sale, household panel data, ideally Circana (legacy IRI), Nielsen, SPINS extracting insights from the information, and delivering value added actionable recommendations.
  • Client-side CPG experience or close co-work in CPG as a supplier are preferable
  • Expert in Excel; experience with analytical tools/software
  • Experience implementing or renovating a system/series of reports
  • Experience with building a data lake for use with a visualization tool like Power BI a big plus
  • Self-Starter and capable of delivering against a vision with minimal guidance
  • Strong Project Management skills
  • Attracted to new technology and analytical approaches
  • Open minded, flexible, autonomous, and capable of leading cross-functional discussions
  • Equally comfortable contributing and influencing in group or individual assignments


Additional helpful qualifications:

  • Masterโ€™s degree in a relevant field
  • Demonstrated ability to build advocacy for analytics in an organization
  • Experience working across/merging data sources
  • Experience managing 3rd party data, analytics, research, or technology partners
  • Experience with primary research