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Entry Level Data Analyst Jobs in Tucson, AZ (NOW HIRING)

Analyze large amounts of information to client trends and patterns * Classifier, Random Forest ... Good knowledge on Exploratory Data Analysis (EDA) * Hands on experience on platforms - Microsoft ...

Jr Front End Developer

Tucson, AZ · On-site

$100.30K - $116.70K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for ...

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 ...

This team significantly contributes to each project's success by providing concrete data and facts ... analytics to evaluate and understand unique challenges and opportunities. This team captures the ...

Junior Software Developer

Tucson, AZ · On-site

$64.60K - $83.90K/yr

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 ...

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.

Currently, We are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/ Data Scientists. Who Should Apply: * Recent IT Graduates looking to make their ...

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Entry Level Data Analyst information

See Tucson, AZ salary details

$12

$31

$58

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 Tucson, AZ is $31.13, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $34.76 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 Tucson, AZ? The most popular types of Data Analyst jobs in Tucson, AZ are:
What cities near Tucson, AZ are hiring for Entry Level Data Analyst jobs? Cities near Tucson, AZ with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Tucson, AZ as of May 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution, with an average salary of $64,753 per year, or $31.1 per hour.
Entry Level Data Scientist

Entry Level Data Scientist

SynergisticIT

Tucson, AZ • On-site

Other

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


Job description

Job Title

Synergistic IT is a full-service staffing and placement firm servicing clients in America for the past 12+ years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT services. We intend to deliver exceptional student outcomes. We don't just help you secure a tech job but build a solid career in technology.

Job Description

Good understanding of the below models:

  • Identify valuable data sources and automate collection processes
  • Undertake preprocessing of structured and unstructured data
  • Analyze large amounts of information to client trends and patterns
  • Classifier, Random Forest Classifier, Nave Bayes, Support Vector Machine
  • Machine Learning Algorithms - Linear Regression, Logistic Regression, Decision Tree
  • Unsupervised/Clustering algorithms
  • NLP models, Deep Learning models for image classification
Desired Candidate Profile

Skills required:

  • Hands on experience Python scripting
  • Hands on experience in building Machine Learning and Artificial Intelligence models
  • Good knowledge on Exploratory Data Analysis (EDA)
  • Hands on experience on platforms - Microsoft Azure/Amazon Web Services
  • Libraries – Numpy, Pands, Scikit learn, Seaborn, Plotly, TensorFLow, Should be able to do data visualisation using Tableau or Excel.
  • Excellent English communication (both oral and written) and reading comprehension skills.
  • Strong analytical and problem-solving skills, with clear attention to detail.
Education Requirement:

Bachelors, Masters in Computer Science/Computer Engineering/Information Systems/Information Technology/Electrical Engineering/Mechanical Engineering.

Benefits:

  • On job technical support
  • E-verified
  • Filing of H1b and Green card
  • Full time position

Candidate who are missing the required skills, might be provided an option to enhance their skills, so that they can also apply for the role and can make a career in IT industry. If you do respond via e-mail, please include a daytime phone number so that we can reach you. In considering candidates, time is of the essence, so please respond ASAP. Thank you