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Data Analytics Co Op Jobs (NOW HIRING)

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

In the course of your internship or Co-op, you will be tasked with one or more mission-critical ... analyze randomized studies in the ad-tech space. * Work hand-in-hand with our data science and ...

LiveRamp

Co-Op, Data Science

San Francisco, CA

$31 - $49/hr

In the course of your internship or Co-op, you will be tasked with one or more mission-critical ... analyze randomized studies in the ad-tech space. * Work hand-in-hand with our data science and ...

LiveRamp

Co-Op, Data Science

San Francisco, CA · On-site

$31 - $49/hr

In the course of your internship or Co-op, you will be tasked with one or more mission-critical ... analyze randomized studies in the ad-tech space. * Work hand-in-hand with our data science and ...

Keller North America, Inc.

Co-Op Intern

Cleveland, OH

$14.50 - $19.25/hr

Field Co-Op - Daily tracking/production reporting, quality control, cost analysis, equipment and field experience. Office Co-Op - Estimating assistance, project take-offs, creating proposals, sales ...

Keller North America, Inc.

Co-Op Intern

Wadsworth, OH · On-site

$13.50 - $18/hr

Field Co-Op - Daily tracking/production reporting, quality control, cost analysis, equipment and field experience. Office Co-Op - Estimating assistance, project take-offs, creating proposals, sales ...

Keller North America, Inc.

Co-Op Intern

Wadsworth, OH

$13.50 - $18/hr

Field Co-Op - Daily tracking/production reporting, quality control, cost analysis, equipment and field experience. Office Co-Op - Estimating assistance, project take-offs, creating proposals, sales ...

Keller North America, Inc.

Co-Op Intern

Wadsworth, OH

$13.50 - $18/hr

Field Co-Op - Daily tracking/production reporting, quality control, cost analysis, equipment and field experience. Office Co-Op - Estimating assistance, project take-offs, creating proposals, sales ...

advansix

$25/hr

... analysis - Working in an industrial environment with a variety of engineering, operations ... data, incident communication, investigations, plant communications, purchase orders, and ...

KZF Design Inc

Planning Co-op

Cincinnati, OH · On-site

Urban Planner Co-op Location: Cincinnati, OH 45202 Department: Urban Planning ABOUT KZF DESIGN KZF ... This role involves researching and data analysis, stakeholder engagement, and preparing reports ...

Papa John's

Co-Op

Louisville, KY · On-site

Record, analyze and evaluate issues * Create reports on trends and other data utilized in root cause analyses * Set goalsandobjectives for your co-op rotation with your assignment leaderand ...

1Britcom

Co-Op Intern

Cleveland, OH

$14.50 - $19.25/hr

Field Co-Op - Daily tracking/production reporting, quality control, cost analysis, equipment and field experience. Office Co-Op - Estimating assistance, project take-offs, creating proposals, sales ...

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All JobsData Analytics Co Op Jobs

Data Analytics Co Op information

See salary details

$33K

$81.5K

$140K

How much do data analytics co op jobs pay per year?

As of Jun 21, 2026, the average yearly pay for data analytics co op in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Co Op, and why are they important?

To thrive as a Data Analytics Co Op, you need foundational knowledge of statistics, data analysis, and proficiency in languages like Python or R, typically supported by progress toward a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly expected. Strong problem-solving, attention to detail, and effective communication skills set standout candidates apart. These abilities are crucial for accurately analyzing data, drawing meaningful insights, and presenting findings to support business decisions.

What are some common projects a Data Analytics Co-Op might work on, and how does the role typically collaborate with other departments?

As a Data Analytics Co-Op, you can expect to work on projects such as analyzing sales trends, building dashboards, cleaning and preparing large datasets, and supporting ongoing business initiatives with actionable insights. The role often requires close collaboration with teams such as marketing, finance, and operations to understand data needs and deliver findings that drive decision-making. You'll likely participate in cross-functional meetings, present your analyses, and receive feedback to refine your work, helping you develop both technical and communication skills in a real-world business context.

What is a Data Analytics Co-Op?

A Data Analytics Co-Op is a temporary, paid position for students or recent graduates to gain hands-on experience in analyzing data within a professional setting. Co-ops work alongside experienced data analysts, helping to collect, clean, and interpret data to support business decisions. Responsibilities may include creating reports, visualizing data trends, and using statistical tools to uncover insights. This role is designed to provide practical skills and industry exposure, often as part of an academic program or career development path.

What is the difference between Data Analytics Co Op vs Data Analyst?

AspectData Analytics Co OpData Analyst
CredentialsTypically pursuing or recent graduates with coursework in data analysis, statistics, or related fieldsUsually requires a bachelor's degree in data science, statistics, or related field; some roles prefer or require experience
Work EnvironmentInternship or temporary position, often part-time or seasonal, in corporate or consulting settingsFull-time professional role in various industries, including finance, healthcare, and tech
Employer UsageUsed by companies to train and evaluate potential full-time employees or for project-based workPermanent position responsible for ongoing data analysis, reporting, and insights generation

In summary, a Data Analytics Co Op is an internship designed for students or recent graduates gaining practical experience, while a Data Analyst is a full-time professional responsible for analyzing data and providing insights within an organization.

More about Data Analytics Co Op jobs
What cities are hiring for Data Analytics Co Op jobs? Cities with the most Data Analytics Co Op job openings:
What are the most commonly searched types of Data Analytics jobs? The most popular types of Data Analytics jobs are:
What job categories do people searching Data Analytics Co Op jobs look for? The top searched job categories for Data Analytics Co Op jobs are:
Data Analytics Co Op jobs near you
Co-Op, Data Science

Co-Op, Data Science

LiveRamp

San Francisco, CA • On-site

$31 - $49/hr

Full-time

Posted yesterday

Job description

LiveRamp is the leading data connectivity platform. We believe connected data has the power to change the world. Our platform powers insights and experiences centered around the needs of real people, and in ways that keep the Internet open for all. LiveRampers thrive on building together with curiosity and humility-and have a good bit of fun along the way. We're always looking for smart, kind, and creative people to grow our team and impact.
Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
Get ready for the best learning experience of your life. You will receive the same orientation training as our full-time engineers, you will be matched with an individual mentor, and you will be committing production code by the end of your first week. In the course of your internship or Co-op, you will be tasked with one or more mission-critical projects and make meaningful contributions to LiveRamp's success. Also, if our previous interns are any guides, you will have a ton of fun in the process!
Internships are 12 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your internship.
Co-ops range between 12-24 weeks long. Should we want to extend you a full-time offer after you graduate, we ask that you would be willing to consider this at the end of your Co-op.
We are seeking Co-Op candidates interested in applying data science to the ad-tech space.
Join our Insights Engineering team!
You will:
  • Use statistical and ML based techniques to reduce selection bias, build representative samples, and analyze randomized studies in the ad-tech space.
  • Work hand-in-hand with our data science and engineering teams to design and implement data models that measure ad performance across large, disparate datasets.
  • Perform R&D work by prototyping new statistical and data modeling frameworks, translating prototypes into SQL and PySpark workflows, and then drive those prototypes into production.
  • Work in multiple cloud environments such as AWS and GCP, and help build, monitor, and troubleshoot automated modeling jobs using technologies such as Spark and BigQuery.
  • Troubleshoot internal and external models by understanding the key ingredients and underlying assumptions of the models.
  • Basic familiarity with prompt engineering and a proactive willingness to adopt new AI-driven productivity tools.

About you:
  • Possess strong mathematics, statistics and computer science skills that you are ready to turn into industry-ready skills
  • Pursuing or completed a degree in a Data Science related field (e.g. Mathematics, Statistics, Computer Science, Physics or other STEM degrees)
  • Excited to learn new data science techniques and technologies
  • Willing to dive in and learn by doing
  • Ready to work with others to solve hard problems
  • Possess a startup personality: smart, ethical, friendly, hard-working and proactive
  • Excited to work with products that have close interactions with customers

Preferred Skills:
  • Strong background in probability and statistics, experience implementing statistical models in SQL, and familiarity with fundamentals of randomized control trials.
  • Experience contributing to a mature Python-centric code base.
  • Strong command of common data science toolkits (Pandas, Numpy, Matplotlib, sci-kit learn).
  • Experience writing SQL and working with relational databases.
  • Understanding of software engineering fundamentals such as object oriented programming, computational complexity, version controlling with git, and experience in command line interfaces such as bash.
  • Knowledge of Big Data stacks such as Hadoop and Spark
  • Experience with AWS and/or GCP cloud providers
  • Experience with Agile software development

The approximate hourly base compensation range is $31.00 to $49.00. The actual offer, reflecting the total compensation package and benefits, will be determined by a number of factors including the applicant's experience, knowledge, skills, and abilities, geography, as well as internal equity among our team.
More about us:
LiveRamp's mission is to connect data in ways that matter, and doing so starts with our people. We know that inspired teams enlist people from a blend of backgrounds and experiences. And we know that individuals do their best when they not only bring their full selves to work but feel like they truly belong. Connecting LiveRampers to new ideas and one another is one of our guiding principles-one that informs how we hire, train, and grow our global team across nine countries and four continents. Click here to learn more about Diversity, Inclusion, & Belonging (DIB) at LiveRamp.
We use automated decision systems (ADS) as part of our recruitment and hiring process. If you require an accommodation or believe that the use of an ADS may create a barrier to your application or participation in the hiring process due to a disability or other protected characteristic, please let us know. We are committed to providing reasonable accommodations and ensuring an equitable hiring experience for all candidates.

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