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Entry Level Data Analyst Ibm Jobs (NOW HIRING)

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 ...

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.

Tableau Software, IBM i2 Analyst Notebook, ESRI ArcGIS Pro - Experience with the following types of ... Data Analysis, Computer Information Systems, or Statistics - Industry analytics/business ...

Expertise in healthcare data domains (clinical, claims, billing, etc.) Exposure to IBM's healthcare ... Must be curious, willing to learn new topics and create new analytics. Looking for only GC or ...

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Entry Level Data Analyst Ibm information

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

As of Jul 5, 2026, the average hourly pay for entry level data analyst ibm 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.

How much do IBM data analysts make?

Entry-level data analysts at IBM typically earn between $60,000 and $80,000 annually, depending on location and experience. Salaries can increase with additional skills in data visualization, SQL, and Python, as well as certifications or advanced education.

Does IBM hire entry-level?

IBM hires entry-level data analysts and other roles, often offering internships, apprenticeships, and entry-level positions for recent graduates. These roles typically require basic skills in data analysis tools like Excel, SQL, or Python, and may include training programs for new employees.

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

AspectEntry Level Data Analyst IbmData Analyst
Required CredentialsBachelor's in CS, IT, or related field; IBM certifications beneficialBachelor's in similar fields; certifications vary by employer
Work EnvironmentIBM offices, client sites, or remote; corporate settingCorporate, tech, finance, or healthcare sectors; office or remote
Employer & Industry UsagePrimarily in IBM's technology and consulting divisionsAcross various industries including finance, healthcare, and tech

While both roles involve analyzing data to support business decisions, Entry Level Data Analyst Ibm typically focuses on IBM-specific tools and projects within IBM's environment, whereas Data Analysts work across diverse industries with a broader range of tools and platforms.

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

To thrive as an Entry Level Data Analyst at IBM, you need a solid background in statistics, data analysis, and a relevant degree in fields like computer science, mathematics, or economics. Familiarity with analytical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or IBM Cognos is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret data findings and explain insights to stakeholders. These skills and qualifications are crucial for delivering accurate, actionable business intelligence in a results-driven, collaborative environment.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python. These roles often serve as starting points for individuals with limited professional experience and may include on-the-job training or certifications to develop necessary skills.

What does the typical onboarding process look like for an Entry Level Data Analyst at IBM, and how does it support new hires in adapting to their team?

As an Entry Level Data Analyst at IBM, you'll participate in a structured onboarding process designed to help you acclimate to both IBM's culture and your specific team. This typically includes orientation sessions, technical training on IBM tools and platforms, and mentorship from experienced analysts. You'll work closely with your immediate team members and cross-functional partners, gradually taking on more complex data projects as you build your confidence. Regular feedback sessions and access to learning resources further support your professional growth, ensuring a smooth transition into your new role.

What is the entry-level salary for IBM?

The entry-level salary for an IBM Data Analyst typically ranges from $60,000 to $75,000 annually, depending on location and candidate experience. Entry-level roles often require proficiency in data analysis tools like Excel, SQL, and Python, and may include benefits such as training and certification opportunities.

What does an Entry Level Data Analyst at IBM do?

An Entry Level Data Analyst at IBM is responsible for collecting, processing, and analyzing large sets of data to help the company make informed business decisions. They use statistical tools and programming languages like SQL, Python, or R to clean and interpret data, create reports, and identify trends or insights. Typically, they collaborate with different teams to translate business needs into data-driven solutions, ensuring data integrity and accuracy throughout the analysis process.
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What are the most commonly searched types of Data Analyst Ibm jobs? The most popular types of Data Analyst Ibm jobs are:
What states have the most Entry Level Data Analyst Ibm jobs? States with the most job openings for Entry Level Data Analyst Ibm jobs include:
Data Analyst I, II, or III - TPP Division - Austin, TX

Data Analyst I, II, or III - TPP Division - Austin, TX

Texas Department of Transportation

Austin, TX

Full-time

Posted 11 days ago


Texas Department Of Transportation rating

8.9

Company rating: 8.9 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

60th of 668 rated public administrative organizations


Job description

Data Analyst I:

Performs entry-level data analysis and data research work. Work involves conducting detailed analysis and extensive research on
data and providing results in various formats. Responsible for using standard statistical tools, methods and techniques to
translate data into actionable insights using data visualization software. Works under close supervision, with minimal latitude
for the use of initiative and independent judgment.

Data Analyst II: 

Performs routine data analysis and data research work. Work involves conducting detailed analysis and extensive research on data and providing results in various formats. Responsible for using standard statistical tools, methods and techniques to translate data into actionable insights using data visualization software. Works under moderate supervision, with limited latitude for the use of initiative and independent judgment.

Data Analyst III:

Performs moderately complex data analysis and data research work. Work involves conducting detailed analysis and extensive research on data and providing results in various formats. Monitors and implements measures to ensure data quality. Responsible for using standard statistical tools, methods and techniques to translate data into actionable insights using data visualization software. Works under general supervision, with limited latitude for the use of initiative and independent judgment.

Essential Duties:

Data Analyst I:

  • Compiles and queries data.

  • Analyzes data using standard statistical tools, methods, and techniques

  • Interprets results to identify significant differences in data.

  • Cleans and prunes data to discard irrelevant information.

  • Assists in defining, developing, and implementing data standards.

  • Writes programs and/or queries for spreadsheet or database software to create reports and import/export data.

  • Assists in Identifying and interpreting data patterns and trends and assessing data quality.

  • Performs other job responsibilities as assigned.

Data Analyst II:

All the Above and:

  • Modifies existing reports and/or develops new reports by analyzing databases, data sources, and structures for the benefit of users

Data Analyst III:

All the Above and:

  • Prepares concise, comprehensive technical reports to present and interpret data, identify alternatives, and make and justify recommendations on data revisions.

Minimum Qualifications:Data Analyst I:Education: 
  • Bachelor's Degree in a related discipline. 

  • Relevant experience may be substituted for education on a year per year basis. Substitutions for Minimum Qualifications

Experience: 
  • None

  • Experience can be satisfied by full-time or prorated part-time equivalent

Licenses and Certifications: 

Valid driver's license. This position requires driving a state vehicle.

Data Analyst II:Education: 
  • Bachelor's Degree in a related discipline. 

  • Relevant experience may be substituted for education on a year per year basis. Substitutions for Minimum Qualifications OR related graduate level education may be substituted for experience on a year per year basis.

Experience: 
  • 1 YEAR data analysis, research, compilation, and/or report writing and design work experience.

  • Experience can be satisfied by full-time or prorated part-time equivalent

Licenses and Certifications: 

Valid driver's license. This position requires driving a state vehicle.

Data Analyst III:Education: 
  • Bachelor's Degree in a related discipline. 

  • Relevant experience may be substituted for education on a year per year basis. Substitutions for Minimum Qualifications OR related graduate level education may be substituted for experience on a year per year basis.

Experience: 
  • 2 YEAR data analysis, research, compilation, and/or report writing and design work experience.

  • Experience can be satisfied by full-time or prorated part-time equivalent

Licenses and Certifications: 

Valid driver's license. This position requires driving a state vehicle.

Preferred Qualifications: 

Bachelor's Degree in Statistics, Mathematics, Transportation Planning, Transportation Engineering preferred

Competencies:

Data Analyst I, II, or III:

  • Data analysis and interpretation

  • Analyze data and derive informative conclusions.

  • Evaluate and make recommendations regarding data integrity

  • Effectively organize and prioritize work demands in a fast paced environment

  • Translate complex data into user friendly information

  • Exercises logic and reasoning to define problems, establish facts and draw valid conclusions; makes decisions that support business objectives and goals

  • Business processes and methodologies, data import and export protocols

  • Communicating technical information effectively

  • Working with streaming data and/or unstructured data from multiple data sources

  • Developing and presenting reports in multiple formats

 Physical Requirements and Working Conditions:
  • Sedentary work: Lift up to 10 lbs at a time and occasionally carry files/small tools

  • Sitting - prolonged periods of time

  • Fingering-picking, pinching, typing; working primarily with fingers rather than whole hand

  • Close Visual Acuity-work includes data/figures; view a computer screen; extensive reading

 Conditions of Employment:

Please read the Standard Conditions of Employment (TxDOT) for all positions.


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