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Entry Level Data Analyst Jobs in Valparaiso, IN (NOW HIRING)

Data Analyst SYNERGISTICIT is aware that the job market is challenging because of tech layoffs. The ... For entry-level job seekers to get client interviews and jobs they need to differentiate themselves ...

... Gartner Data & Analytics Summit Why do tech companies not hire recent computer science graduates ... entry-level position. The additional skills and project work with hands-on experience building ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

... analytical capability, and leadership responsibility. * Cost Representative I is an entry-level role focused on learning cost processes and maintaining data integrity. * Cost Representative II ...

... analytical capability, and leadership responsibility. * Cost Representative I is an entry-level role focused on learning cost processes and maintaining data integrity. * Cost Representative II ...

High school diploma or GED required * Entry Level, but 1-2 years of experience in steel or ... Basic math and data analysis skills * Knowledge of steel terminology and product grades is a plus

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Entry Level Data Analyst information

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How much do entry level data analyst jobs pay per hour?

As of May 28, 2026, the average hourly pay for entry level data analyst in Valparaiso, IN is $32.89, according to ZipRecruiter salary data. Most workers in this role earn between $21.11 and $36.73 per hour, depending on experience, location, and employer.

What Does an Entry Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

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 strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are the most commonly searched types of Data Analyst jobs in Valparaiso, IN? The most popular types of Data Analyst jobs in Valparaiso, IN are:
What are popular job titles related to Entry Level Data Analyst jobs in Valparaiso, IN? For Entry Level Data Analyst jobs in Valparaiso, IN, the most frequently searched job titles are:
What cities near Valparaiso, IN are hiring for Entry Level Data Analyst jobs? Cities near Valparaiso, IN with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Valparaiso, IN as of May 2026, with employment types broken down into 78% Full Time, and 22% Part Time. Highlights an 78% In-person, 11% Hybrid, and 11% Remote job distribution, with an average salary of $68,401 per year, or $32.9 per hour.
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Job description

Data Analyst

SYNERGISTICIT is aware that the job market is challenging because of tech layoffs. The job market is flooded with hundreds and thousands of laid-off jobseekers competing with existing jobseekers. For entry-level job seekers to get client interviews and jobs they need to differentiate themselves by ensuring they have exceptional skills and technologies to be noticed by clients. Since 2010 we have helped jobseekers differentiate themselves by providing clients with candidates who have the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers. All positions are open for all visas and US citizens. We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like Apple, Google, and Paypal, western union, client, visa, Walmart labs, etc., to name a few. We have an excellent reputation with the clients.

We are looking for a Data Analyst. Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates looking to make their careers in the IT industry. We welcome candidates with all visas and citizens to apply. We assist in filing for STEM extension and also for H1b and green card filing to candidates. We also offer skill enhancement programs for candidates who are either missing skills or lacking industry/client experience with projects and skills. Candidates have difficulty finding jobs or cracking interviews or want to improve their skill portfolio. If they are qualified with enough skills and have hands-on project work with clients then no need for skill enhancement. Candidates can benefit from skill enhancement if they fall into the below categories. Candidates who lack experience or are fresher with no actual job experience with projects with clients who have had a break in careers lack technical competency or skills being demanded by clients different visa candidates (like OPT/H4EAD/L2EAD) who want to get employed and settle down in the USA.

REQUIRED SKILLS for Java/Software Programmers:

  • Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of Core Java, java script, C++ or software programming
  • Spring boot, Micro-services, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

REQUIRED SKILLS for Data Science/Machine Learning:

  • Bachelor's degree or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in the programming language Java and understanding of the software development life cycle
  • Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools
  • Excellent written and verbal communication skills
  • Preferred skills: NLP, Text mining, Tableau, Power BI, Time series analysis

Please understand skills and relevant experience on real-world projects are required by clients for selection even if it's a junior or entry-level position. The additional skills and project work with hands-on experience building projects at the client site are the only way a candidate can be picked by clients. If not having the skills or hands-on project work at the client site, candidates can opt for skill enhancement to gain the required skills and project work. No third-party candidates or c2c candidates please only apply to the posting. No phone calls, please. Shortlisted candidates would be reached out to.