1

Associate Data Analyst Jobs (NOW HIRING)

As an Associate Data Scientist in the Product Spoke, you will analyze large-scale educational data to derive actionable insights that drive product design and improve customer experience. You will ...

The Associate Data Scientist supports data-driven decision-making across the organization by ... This role is responsible for data extraction, cleaning, and exploratory analysis, as well as ...

This role collaborates with solution architects, product owners, program managers, business analysts, infrastructure teams, and service providers to deliver data and analytics solutions. Associate ...

Associate Data Scientist

Atlanta, GA · On-site

$56K - $56K/yr

The Associate Data Scientist is responsible for supporting data science initiatives that drive ... Supports data science projects by conducting effective analysis to solve business problems;

This role collaborates with solution architects, product owners, program managers, business analysts, infrastructure teams, and service providers to deliver data and analytics solutions. Associate ...

Associate Scientist, Data II

North Chicago, IL · On-site

$56K - $57K/yr

This role collaborates with solution architects, product owners, program managers, business analysts, infrastructure teams, and service providers to deliver data and analytics solutions. Associate ...

Data Analyst

Washington, DC · On-site

$70K - $100K/yr

Associate degree in Data Analytics, Engineering, Information Systems, or related field. * 4 years of relevant experience, or 3 years with a Bachelor's degree. * CAP Essentials certification preferred.

Showing results 41-60

Associate Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do associate data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for associate data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does an associate data analyst do?

An Associate Data Analyst is responsible for collecting, processing, and analyzing data to help their organization make informed business decisions. They typically work with large datasets, create reports, identify trends, and support senior analysts or data scientists. Their tasks often involve using tools like Excel, SQL, and data visualization software to present findings clearly to stakeholders. This entry-level role serves as a foundation for advancing into more specialized data analysis positions.

What are some typical projects an associate data analyst might work on during their first year?

As an Associate Data Analyst, you can expect to work on projects such as cleaning and organizing data sets, creating basic visualizations and reports, and assisting with data quality checks. You'll likely collaborate closely with senior analysts and team members from departments like marketing, finance, or operations to support ongoing analyses or new initiatives. Many entry-level projects focus on transforming raw data into actionable insights, which helps you build foundational skills and gain experience with common tools and methodologies in the field.

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

To thrive as an Associate Data Analyst, you need strong analytical abilities, proficiency in data interpretation, and a relevant degree such as in statistics, mathematics, or computer science. Familiarity with tools like SQL, Excel, and data visualization platforms (e.g., Tableau or Power BI) is typically required, along with knowledge of basic programming languages like Python or R. Attention to detail, critical thinking, and effective communication are key soft skills for translating data insights into actionable recommendations for stakeholders. These skills ensure accurate data analysis, clear reporting, and informed business decisions, which are crucial for organizational success.

What is the difference between Associate Data Analyst vs Data Analyst?

AspectAssociate Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, some certificationsBachelor's degree, often with additional certifications or experience
Work EnvironmentEntry-level, supporting data teams, learning-focusedMore independent, responsible for analysis and reporting
Employer & Industry UsageCommon in tech, finance, healthcare, entry-level rolesWidely used across industries, mid-level position

The main difference between an Associate Data Analyst and a Data Analyst lies in experience and responsibility. Associate Data Analysts are typically entry-level, focusing on supporting data tasks and gaining skills, while Data Analysts handle more complex analysis and decision-making. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and autonomy.

What is the role of an associate data analyst?

An associate data analyst collects, processes, and analyzes data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under supervision to generate reports and identify trends. Strong analytical skills and attention to detail are essential for this entry-level role.
More about Associate Data Analyst jobs

What cities are hiring for Associate Data Analyst jobs?

Cities with the most Associate Data Analyst job openings:

What are the most commonly searched types of Data Analyst jobs?

The most popular types of Data Analyst jobs are:

Who are the top companies hiring for Associate Data Analyst jobs?

The top employers for Associate Data Analyst jobs are:

What states have the most Associate Data Analyst jobs?

States with the most job openings for Associate Data Analyst jobs include:

Infographic showing various Associate Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

$95K - $110K/yr

Full-time

Re-posted 9 days ago


Job description

About Amplify
Amplify helps teachers bring delight and rigor to students every day. We have become a leader in K-12 literacy, biliteracy, math, and science by building inspiring teaching and learning experiences based on research. The Amplify Classroom platform combines curriculum, assessment, and supplemental learning into one coherent high-quality instructional system. A pioneer in education since 2000, Amplify has developed deep relationships in states and districts by partnering with educators to drive implementation quality and improved outcomes. Today, Amplify serves more than 18 million students and teachers across all 50 states and on six continents. For more information, visit Amplify.com.
Job Description Summary:
As an Associate Data Scientist at Amplify, you will join a talented, cross-functional team dedicated to seeking empirical answers to crucial questions about Amplify's products. You'll play an active role in using data to inform product strategy, product efficacy, and drive business outcomes. In doing so, you will directly influence the learning journeys of millions of students, helping to ensure our solutions provide the rigor and delight educators expect.
Reporting to our Senior Data Science Manager, this is an exciting opportunity for a curious, early-career data scientist to tackle real-world education problems. We are deeply committed to providing a collaborative environment where you'll be encouraged to ask questions, experiment, and grow your skillset alongside a team that is passionate about scaling the impact of educational technology.
Essential Responsibilities:
As an Associate Data Scientist in the Product Spoke, you will analyze large-scale educational data to derive actionable insights that drive product design and improve customer experience. You will collaborate with cross-functional teams to tackle complex questions, leveraging both traditional analytical methods and emerging AI-driven workflows.
Key responsibilities include:
  • Partner with product managers, researchers, engineers, and content developers to answer complex business and educational questions.
  • Develop, evaluate, and maintain statistical models and AI-enabled analytical solutions..
  • Communicate findings and recommendations to technical and non-technical stakeholders.
  • Leverage AI-powered tools to improve exploratory analysis, feature engineering, and model development while maintaining high standards for code quality and evaluation.

Required Qualifications:
  • Bachelor's degree in a quantitative field (e,g., Data Science, AI Engineering, Computer Science, Economics, Math, Physics, Statistics) or equivalent experience.
  • Proficient in using Python for data analysis tasks (data cleaning, manipulation, analysis).
  • Experience in SQL for data analysis.
  • Experience applying foundational statistical methods, such as regression and hypothesis testing.
  • Experience applying AI solutions to a variety of problem domains.
  • Experience with software development methodology and protocols, including version control and testing.
  • Demonstrated ability to independently research, troubleshoot, and solve open-ended analytical problems.
  • Excellent communication skills in writing and conversation, especially with non-technical partners.
  • Comfortable working independently and collaboratively in a team environment.

Preferred Qualifications:
  • Experience training and evaluating the performance of machine learning models leveraging industry standard libraries like scikit-learn, xGBoost.
  • Familiarity with AI/ML frameworks and libraries such as PyTorch, TensorFlow, or Hugging Face.
  • Experience building or fine-tuning applications using Generative AI or Large Language Models.
  • Experience working with Snowflake.
  • Background in education or educational technology (EdTech)

Amplify is an Equal Opportunity Employer. Amplify makes employment decisions based on qualifications and merit, and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability status, veteran status, or any other legally protected characteristic or status.
Amplify is committed to providing reasonable accommodations for qualified individuals with disabilities, including disabled veterans. If you have a disability and need an accommodation in connection with the application or hiring process, please email hiringaccommodations@amplify.com.
If you are selected for employment, a background check will be required. As required by state and local laws and district policies, you may be required to provide additional documentation, such as proof of vaccination, or submit to enhanced background screening, such as fingerprinting.
Amplify is an E-Verify participant.