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Entry Level Data Jobs in Chesterton, IN (NOW HIRING)

Dhalite Inc.

Entry level Data Analyst

Chicago, IL · On-site

Job Title: Entry level Data Analyst Note : Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. Job Summary We are seeking ...

SynergisticIT

Entry Level Data Scientist

Chicago, IL · On-site

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. We welcome candidates with all visas and citizens to apply. Who ...

SynergisticIT

Entry Level Data scientist

Chicago, IL · On-site

$17.50 - $23/hr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

SynergisticIT

Entry Level Data Analyst

Chicago, IL · On-site

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning

Genesis10

Entry Level Data Engineer

Chicago, IL · On-site

$60K/yr

Now hiring for our Data Engineer cohort starting in July 2026. To apply, please submit a formal application through our website: Dev10 Apply Here What We Require * Willingness to relocate anywhere in ...

SynergisticIT

Data Analyst - Entry Level

Chicago, IL · On-site

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers for full time positions ...

SynergisticIT

DATA SCIENTIST

Chicago, IL · On-site

Entry-Level Software Programmer SynergisticIT wants every candidate to know we are always here to ... NLP, Deep Learning, Data visualization, Scala, Django No third party candidates or c2c candidates.

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How much do entry level data jobs pay per hour?

As of May 28, 2026, the average hourly pay for entry level data in Chesterton, IN is $18.51, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $20.77 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need foundational skills in data analysis, statistics, and problem-solving, typically supported by a relevant degree such as in mathematics, statistics, or computer science. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms (e.g., Tableau or Power BI) is often required, along with basic programming knowledge in Python or R. Strong attention to detail, analytical thinking, and effective communication are valuable soft skills for interpreting and sharing data-driven insights. These abilities are important to accurately analyze data, support business decisions, and collaborate with team members across departments.

What types of projects or tasks are typically assigned to entry-level data professionals during their first year?

Entry-level data professionals often start by working on data cleaning, validation, and basic analysis tasks, helping to ensure data quality and accuracy for the team. They may assist with preparing reports, creating simple visualizations, or supporting more senior analysts with larger projects. These tasks help build foundational skills in data manipulation and provide exposure to the company's data systems and tools. Collaboration with other team members, such as analysts, engineers, and business stakeholders, is common and fosters a supportive learning environment.

What are entry level data jobs?

Entry level data jobs are positions designed for individuals who are new to the data field, often requiring minimal professional experience. These roles may include titles such as Data Analyst, Data Coordinator, or Junior Data Scientist. Responsibilities typically involve data cleaning, basic analysis, reporting, and supporting more senior data professionals. Entry level data jobs are a great way to build foundational skills in data manipulation, visualization, and interpretation using tools like Excel, SQL, or Python. They are commonly found in industries such as finance, healthcare, retail, and technology.

What is the difference between Entry Level Data vs Data Analyst?

AspectEntry Level DataData Analyst
Required CredentialsHigh school diploma or associate's; some roles may prefer certificationsBachelor's degree in data-related fields; certifications like SQL or Excel often preferred
Work EnvironmentEntry-level roles in various industries, often in office settings or remoteOffice-based, collaborative environment; may involve client interaction
Employer & Industry UsageFound across industries; entry positions for those starting in data rolesCommon in finance, healthcare, marketing, and tech sectors

Entry Level Data roles are typically for individuals starting their data careers with basic skills and minimal experience, often focusing on data entry or simple analysis. Data Analysts usually have more specialized training and experience, handling complex data analysis, reporting, and insights. Both roles are essential in data-driven organizations, but Data Analysts generally require a higher skill set and educational background.

What cities near Chesterton, IN are hiring for Entry Level Data jobs? Cities near Chesterton, IN with the most Entry Level Data job openings:
Entry Level Data jobs near you

Entry level Data Analyst

Dhalite Inc.

Chicago, IL • On-site

Other

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

Job description

Job Title: Entry level Data Analyst
Note: Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future.Job Summary
We are seeking a Data Analyst to collect, process, and analyze data to support business decision-making and operational efficiency. The ideal candidate will have strong analytical skills and experience working with large datasets, data visualization tools, and statistical techniques to identify trends, build predictive models, and generate actionable insights. This role requires collaboration with cross-functional teams to transform complex data into meaningful business strategies.
Key Responsibilities
  • Build and optimize data pipelines and ETL workflows for efficient data processing and integration.
  • Analyze large datasets using Python, SQL, and statistical methods to identify patterns and trends.
  • Create interactive dashboards and visual reports using Power BI, Tableau, or similar tools.
  • Implement predictive forecasting and analytical models to support strategic decision-making.
  • Automate data workflows and reporting processes to improve operational efficiency.
  • Ensure data quality, accuracy, and integrity through validation and monitoring frameworks.
  • Perform root cause analysis on performance and operational issues using data insights.
  • Work with cross-functional teams to gather requirements and translate data into actionable insights.
  • Maintain documentation of data processes, models, and reporting systems.
  • Develop and maintain data models and analytical solutions to improve business insights and predictive accuracy.
    Required Qualification
  • Bachelor s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field.
  • Strong knowledge of data analysis, statistical techniques, and data visualizations
  • Experience working with databases and large datasets.
  • Ability to interpret complex data and present insights clearly to stakeholders.
  • Strong problem-solving and analytical thinking skills.

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