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Summer Data Analytics Graduate information

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$33K

$81.5K

$140K

How much do summer data analytics graduate jobs pay per year?

As of Sep 13, 2026, the average yearly pay for summer data analytics graduate 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 is a summer data analytics graduate?

Summer Data Analytics Graduates are recent or soon-to-be graduates who participate in summer internship or training programs focused on data analytics. These roles typically involve working on data-driven projects, analyzing large datasets, and gaining hands-on experience with analytical tools and techniques. The purpose of these positions is to provide students or new graduates with practical exposure to real-world business challenges, often within a corporate or research environment. Participants develop skills in data analysis, visualization, and reporting, which can enhance their employability in the data science and analytics field.

What are the key skills and qualifications needed to thrive as a summer data analytics graduate?

To thrive as a Summer Data Analytics Graduate, you need a solid background in statistics, data analysis, and proficiency with spreadsheet and database tools, typically supported by ongoing or recent studies in a quantitative field. Familiarity with programming languages such as Python or R, experience with data visualization tools like Tableau, and knowledge of SQL are often expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you analyze data and present insights clearly to diverse audiences. These skills are crucial for delivering actionable findings and supporting data-driven decision-making in fast-paced project environments.

What types of projects can a summer data analytics graduate expect to work on during their internship?

As a Summer Data Analytics Graduate, you can expect to work on a variety of projects involving data cleaning, analysis, and visualization. Typical assignments include assisting with the preparation of datasets, conducting exploratory data analysis, building dashboards, and supporting senior analysts with statistical modeling. You'll likely collaborate with cross-functional teams such as marketing, finance, or operations, contributing to real business cases and gaining exposure to industry-standard tools and methodologies. This hands-on experience is designed to help you develop both technical and communication skills valuable for a future career in analytics.

What cities are hiring for Summer Data Analytics Graduate jobs?

Cities with the most Summer Data Analytics Graduate job openings:

What are the most commonly searched types of Data Analytics Graduate jobs?

The most popular types of Data Analytics Graduate jobs are:

What states have the most Summer Data Analytics Graduate jobs?

States with the most job openings for Summer Data Analytics Graduate jobs include:

What are popular job titles related to Summer Data Analytics Graduate jobs?

For Summer Data Analytics Graduate jobs, the most frequently searched job titles are:

Summer Data Analytics Graduate jobs near you
Infographic showing various Summer Data Analytics Graduate job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Data Analytics Specialist

Columbus, OH

Ohio Department of Taxation
Public Administration
Learn more about Ohio Department of Taxationexternal

$91K - $95K/yr

Full-time

Posted 16 days ago

Job description

We are seeking a detail-oriented and solutions-driven Data Analytics Specialist to join our team. Under managerial direction, you will lead data integration and advanced analysis projects to uncover insights that directly influence strategic decisions and help us meet our agency's goals and objectives. You will work closely with business leaders, IT professionals, and subject matter experts to identify complex problems and drive data-informed decisions through powerful analytics, visualizations, and predictive models.

Key Responsibilities

  • Data Integration & Access
    • Integrate data from multiple systems and sources (e.g., internal databases, shared data lakes, purchased datasets)
    • Extract and prepare data using tools such as report generators, data query tools, and versioning systems
    • Coordinate with IT and business teams to ensure data accuracy, completeness, and relevance
  • Analytics & Insights
    • Apply statistical and machine learning techniques (e.g., regression, clustering, classification) to identify patterns, trends, and relationships
    • Develop and operationalize predictive models and algorithms
    • Visualize complex data in accessible formats for non-technical audiences
  • Strategic Decision Support
    • Translate analytical findings into actionable business recommendations
    • Present insights and proposals to agency leadership and stakeholders
    • Guide program evaluations, resource allocation decisions, fraud detection strategies, and more
  • Collaboration & Communication
    • Partner with business leaders to define priorities, metrics, and success criteria
    • Participate in code reviews, user acceptance testing, and deployment discussions with IT staff
    • Provide training and support to business staff on analytical tools and methodologies
  • Process Improvement & Documentation
    • Establish performance metrics and monitor progress toward goals
    • Document best practices and maintain records of projects and data models
    • Stay current with analytics trends, tools, and industry best practices
  • General Duties
    • Attend meetings, trainings, and conferences as needed
    • Produce reports, data analysis, correspondence, and documentation
    • Perform additional tasks as assigned by the team lead or manager

Pay Information 

Unless required by legislation or union contract, starting salary will be step 1 of the salary range associated with this position. New hires advance to the next step in the range after 6 months and annually thereafter. Based on collective bargaining and legislative activity, there may be cost of living increases awarded annually. Additional longevity supplements begin after 5 years. The current wage progression for this position is in the table below.

Months of Employment

At Hire

6 months

18 months

30 months

42 months

54 Months 

66 Months 

78 Months 

90 Months

Pay Range

Step 1

Step 2

Step 3

Step 4

Step 5

Step 6 

Step 7 

Step 8  

Step 9

OCSEA 33

Hourly

$34.53

$36.20

$38.01

$39.86

$41.81

$43.90

$46.00

$48.28

$50.66

Annual

$71,822

$75,296

$79,061

$82,909

$86,965

$91,312

$95,680

$100,422

$105,373

Background Check Information

The final candidate selected for the position will be required to undergo a criminal background check. Criminal convictions do not necessarily preclude an applicant from consideration for a position. An individual assessment of an applicant's prior criminal convictions will be made before excluding an applicant from consideration.

Status of posted positions

You can check the status of your application online be signing into your profile and clicking the "My Jobpage" tab to view completed submissions and submission details. If you have questions other than your applications status, please direct them to DCY.HumanResources@childrenandyouth.ohio.gov.

48 mos. exp. in data analytics or statistical analysis or research methods. 
-Or completion of associate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 30 mos. exp. in data analytics, statistical analysis, or research methods. 
-Or completion of undergraduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 24 mos. exp. in data analytics, statistical analysis, or research methods. 
-Or completion of graduate core program in data analytics, applied mathematics, statistics, industrial/systems engineering, or related field; 12 mos. exp. in data analytics, statistical analysis, or research methods. 
-Or 36 mos. exp as a Data Analytics Associate, 66930. 
-Or equivalent of Minimum Class Qualifications For Employment noted above.

Preferred Qualification - 24 months experience analyzing data related to children services, publicly funded child care, or other social services program
 

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