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Entry Level Data Analyst Opt Jobs (NOW HIRING)

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant ...

Job Requirements -  Work on gathering requirement and document user stories, use cases, process flow diagrams, cross-functional diagrams, value stream maps as required by the business teams  ...

Required Skills A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep ...

We are seeking an enthusiastic and detail-oriented Entry-Level Data Analyst to join our team. The candidate will help collect, organize, and analyze data to support business decisions. This position ...

Entry Level Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

Entry Level Data Engineer We are hiring a Data Engineer to support the design and maintenance of ... with cloud data platforms Support analytics teams Requirements Knowledge of SQL and Python ...

The Data Analyst I performs entry-level data analysis and data research work. Works under close supervision, with minimal latitude for using initiative and independent judgment. YOU WILL BE TRUSTED ...

... data collection and analysis. - Administer quality control and process improvement activities ... OPT students may also apply If you are qualified and interested in pursuing this opportunity ...

Tallahassee, FL 32399 Position Overview:- We are seeking an Entry-Level Web Applications Programmer to support business modernization, data analysis, reporting, and application support initiatives.

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

As of Jun 19, 2026, the average hourly pay for entry level data analyst opt in the United States is $32.93, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $36.78 per hour, depending on experience, location, and employer.

What is an Entry Level Data Analyst OPT?

An Entry Level Data Analyst OPT is a recent graduate who is authorized to work in the United States under the Optional Practical Training (OPT) program, typically after completing a degree in a field related to data analysis. These analysts are responsible for collecting, processing, and interpreting data to help organizations make informed decisions. They often use tools like Excel, SQL, and basic statistical software, and work under the guidance of more experienced data professionals. OPT allows international students to gain practical work experience in their field of study for up to 12 months (or 36 months for STEM majors).

What are some common challenges faced by entry-level data analysts and how can they be overcome?

Entry-level data analysts often encounter challenges such as working with incomplete or messy datasets, learning new analytical tools, and effectively communicating findings to non-technical stakeholders. To overcome these hurdles, it's helpful to develop strong data cleaning and preprocessing skills, seek mentorship from experienced colleagues, and practice translating data insights into clear, actionable recommendations. Embracing continuous learning and collaborating closely with team members from various departments can also accelerate your growth and confidence in the role.

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 a solid background in statistics, data interpretation, and proficiency with spreadsheet software, often supported by a bachelor's degree in a related field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this position. These skills and qualities are essential for accurately analyzing data, generating actionable insights, and clearly presenting findings to support business decisions.
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Full-time

Posted 29 days ago


Job description

Altair Data Resources is seeking an entry-level Data Analyst who is looking for an opportunity to work in an entrepreneurial, high-growth, enthusiastic environment. You will gain significant experience within our Data Management group helping clients understand more about their data. Using our analytics and visualization tools, you will gain experience working with industry-leading software applications such as Alteryx, Python, Power BI, R and SQL.
Data Analyst Job Duties
Data analyst responsibilities include conducting analysis and producing datasets based on customer or manager requirements. Data analysts will develop analysis and reporting capabilities. They will also monitor key performance indicators and quality control plans to identify improvements.
Data Analyst Responsibilities
  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and "clean" data by reviewing computer reports and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Requirements
Data Analyst Job Requirements
  • Proven working experience as a data analyst or business data analyst. Class project experience may be substituted for work experience
  • Technical expertise regarding data models, data processing, data mining and segmentation techniques. Quality control methodologies are a plus (Lean, Six Sigma)
  • Strong knowledge of and experience with reporting packages (Tableau, Power BI, etc.), databases (SQL etc.), programming (Python, JavaScript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, R etc.)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Working towards or completed BS or MS in Mathematics, Computer Science, Data Science, Information Management or Statistics