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Summer Data Optimization Jobs (NOW HIRING)

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$60K/yr

About the position: We are looking for a Data & Analytics Summer Intern to help mature our ... Databricks Optimization: Translate analytical insights into structured, custom data tables and ...

This is an unpaid internship position for the duration of the summer. What you will learn: Assist ... , pay-per-click (PPC) advertising, and email marketing. Monitor campaign performance, gather data ...

Summer 2026 STEM Internship

Dalton, GA

$14.75 - $19.25/hr

... optimization. Participate in job shadowing, hands-on activities, and structured learning ... Basic knowledge of computer applications; familiarity with coding, CAD, data analysis, or technical ...

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How much do summer data optimization jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for summer data optimization in the United States is $58.71, according to ZipRecruiter salary data. Most workers in this role earn between $52.64 and $68.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Summer Data Optimization Analyst, and why are they important?

To excel as a Summer Data Optimization Analyst, you need strong analytical skills, a background in statistics or data science, and proficiency with data manipulation—often supported by coursework in related fields. Familiarity with technical tools like SQL, Python, Excel, and data visualization platforms such as Tableau is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you interpret data and convey insights to stakeholders. These skills ensure accurate, actionable analysis that drives business improvements during time-sensitive summer projects.

What types of projects or tasks can I expect to work on as a Summer Data Optimization intern?

As a Summer Data Optimization intern, you can expect to work on projects that involve cleaning, analyzing, and optimizing large datasets to improve business processes or inform decision-making. Typical tasks include identifying data quality issues, developing scripts to automate data workflows, and collaborating with analysts or engineers to implement solutions. You may also participate in team meetings to discuss project goals and present your findings. This role provides a great opportunity to develop technical skills while gaining exposure to real-world data challenges.

What is a Summer Data Optimization job?

A Summer Data Optimization job typically involves working on projects that improve the efficiency and effectiveness of data management and analysis processes during the summer months. This role may include tasks like cleaning and organizing large datasets, analyzing data trends, optimizing data pipelines, and supporting decision-making with actionable insights. These positions are often internships or temporary roles aimed at students or recent graduates interested in data science, analytics, or engineering. The experience provides hands-on exposure to data tools and optimization techniques, helping candidates build valuable skills for future careers in data-driven fields.

What is the difference between Summer Data Optimization vs Summer Data Analyst?

AspectSummer Data OptimizationSummer Data Analyst
CredentialsBachelor's in Data Science, Computer Science, or related fieldBachelor's in Data Science, Statistics, or related field
Work EnvironmentData-focused projects, often in tech or consulting firmsData analysis, reporting, and visualization tasks in various industries
Employer & IndustryTech companies, consulting firms, finance, and marketing agenciesCorporate, finance, healthcare, and retail sectors

Summer Data Optimization typically focuses on improving data processes, cleaning, and enhancing data quality, while Summer Data Analysts primarily analyze data sets to generate insights and reports. Both roles require similar educational backgrounds but differ in their core responsibilities and project focus.

What cities are hiring for Summer Data Optimization jobs? Cities with the most Summer Data Optimization job openings:
What are the most commonly searched types of Data Optimization jobs? The most popular types of Data Optimization jobs are:
What states have the most Summer Data Optimization jobs? States with the most job openings for Summer Data Optimization jobs include:
Data Engineer/Data Science Summer Internship

Data Engineer/Data Science Summer Internship

Park National Bank

Newark, OH • Hybrid

$105.20K - $126.40K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Park National Bank rating

6.9

Company rating: 6.9 out of 10

Based on 23 frontline employees who took The Breakroom Quiz

110th of 141 rated banks


Job description

*Flexible Work Arrangement:1 day a week on-site in Newark, Ohio & 4 days remote. Must have transportation to our headquarters in Newark, Ohio to be considered for the role. 

RESPONSIBILITIES   #Ll-Hybrid

  • Builds and maintains data semantic models to support analytics and business intelligence use cases.
  • Designs, develops, and manages data pipelines using DBT to ensure reliable data transformation and delivery.
  • Collaborates with data scientists, Data Engineers, and business stakeholders to translate business requirements into technical solutions.
  • Builds and maintains strong cross-functional relationships to support strategic data and technology initiatives.
  • Provides support for developing and optimizing scripts and data workflows integrated into banking applications.
  • Demonstrates proficiency in SQL/Python and experience with enterprise reporting tools such as Tableau or Power BI for data validation and insights.
  • Transforms and prepares raw data into structured formats suitable for analysis and building AI Agents.
  • Ability to pick up NLP based coding in Snowflake and DBT.

EDUCATION - CERTIFICATIONS - WORK EXPERIENCE

  • High School Diploma or equivalent required
  • 2yr associate degree in IT, Computer Programming, Computer Science or other related discipline required
  • Project or professional experience with basic programming relative to scripting language in reporting software, experience with SQL required.
  • Python language scripting skills required.   

      SCHEDULE

      Typical office hours are M-F 8a-5p. This position is non-exempt and full time (40 hours per week.)

      This position must be able to remain in a stationary position a minimum of 75% of the time, constantly operate a computer, and be able to be in constant communication with coworkers and stakeholders to discuss and exchange accurate information.


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