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No Experience Data Analytics Jobs in Springfield, NE

Data Scientist - AI Systems

Omaha, NE · On-site +1

$110K - $130K/yr

Data Scientist - AI Systems Apply now Job no: 504917 Work type: Full Time Regular Location: Remote ... Graduate degree in an analytical field (Math, Stats, CS, BI, etc.) and 2+ years of experience ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ... Working experience in geotechnical instrumentation and site investigation works * Physically fit ...

Business Analytics Tutor

Omaha, NE · Remote

$18 - $40/hr

No commuting required. * Get matched with students best-suited to your teaching style and expertise ... Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data ...

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ... Working experience in geotechnical instrumentation and site investigation works * Physically fit ...

Experience designing dimensional data models (facts, dimensions, marts, star schemas). Experience using dbt for analytics engineering, including testing and documentation. Familiarity with cloud ...

Preferred Qualifications • Advanced proficiency in SQL for analytics, data modeling, and validation. • Experience designing dimensional data models (facts, dimensions, marts, star schemas). • ...

Data Engineer

Omaha, NE · On-site

$109K - $131K/yr

... development, analysis, and other operations for company personnel, agents, and customers. This ... Experience working with Data Warehouses, Data Marts, etc. * Knowledge of Agile methodologies (Scrum ...

Data Engineer

Omaha, NE · Hybrid

$109K - $131K/yr

... development, analysis, and other operations for company personnel, agents, and customers. This ... Experience working with Data Warehouses, Data Marts, etc. * Knowledge of Agile methodologies (Scrum ...

Data Engineer

Omaha, NE · Hybrid

$109K - $131K/yr

... development, analysis, and other operations for company personnel, agents, and customers. This ... Experience working with Data Warehouses, Data Marts, etc. * Knowledge of Agile methodologies (Scrum ...

Leverages AI-driven insights, predictive modeling, and advanced analytics to support data informed ... Minimum of 3 years of experience including system analysis, gathering requirements, prioritizing ...

This position focusing on data analytics in the Dicon lab. Ideal candidate has a BA/BS in ... Minimum of one year of college coursework or equivalent experience required. * Based on area of ...

This position focusing on data analytics in the Dicon lab. Ideal candidate has a BA/BS in ... Minimum of one year of college coursework or equivalent experience required. * Based on area of ...

Researcher

Omaha, NE · On-site

$55K - $83K/yr

... and execution, data analysis/interpretation and ordering maintenance of laboratory supplies ... Experience in cellular biology, immunology, and/or molecular biology Required License No If yes ...

Researcher

Omaha, NE · On-site +1

$55K - $83K/yr

... and execution, data analysis/interpretation and ordering maintenance of laboratory supplies ... Experience in cellular biology, immunology, and/or molecular biology Required License No If yes ...

Researcher

Omaha, NE · On-site

$55K - $83K/yr

... and execution, data analysis/interpretation and ordering maintenance of laboratory supplies ... Experience in cellular biology, immunology, and/or molecular biology Required License No If yes ...

Showing results 41-60

No Experience Data Analytics information

See Springfield, NE salary details

$24

$53

$92

How much do no experience data analytics jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for no experience data analytics in Springfield, NE is $53.60, according to ZipRecruiter salary data. Most workers in this role earn between $43.08 and $60.72 per hour, depending on experience, location, and employer.

What is the difference between No Experience Data Analytics vs Data Analyst?

AspectNo Experience Data AnalyticsData Analyst
Required CredentialsNone or basic certificationsBachelor's degree in related field, certifications preferred
Work EnvironmentEntry-level, training-focused, often in tech or financeOffice-based, collaborative, project-driven
Employer & Industry UsageStartups, internships, entry-level roles across industriesEstablished companies, mid-level roles in various sectors
Search & Comparison IntentUnderstanding entry points, beginner rolesCareer progression, skill requirements

In summary, No Experience Data Analytics roles are designed for beginners with minimal or no prior experience, often requiring basic certifications and offering training. Data Analysts typically have relevant education and experience, working in more structured environments. Both roles serve different stages of a data analytics career path.

What skills and qualifications are needed for no experience data analytics roles?

To thrive as a Data Analyst without prior experience, you need a solid understanding of basic statistics, data visualization, and spreadsheet proficiency, often supported by a relevant degree or online coursework. Familiarity with tools like Microsoft Excel, SQL, and introductory data analytics platforms such as Tableau or Google Data Studio is common. Strong problem-solving, curiosity, and effective communication skills help you interpret data and convey insights clearly to stakeholders. These skills enable you to analyze data accurately, support decision-making, and demonstrate potential for growth in analytics roles.

What do no experience data analytics jobs involve?

In a No Experience Data Analytics position, you can expect to start with foundational tasks such as cleaning and organizing datasets, creating basic data visualizations, and assisting with simple report generation. You may also help with data entry, validating data accuracy, and supporting senior analysts in data collection projects. These responsibilities help you build technical skills and familiarity with analytical tools, while working closely with more experienced team members who provide guidance and mentorship. Over time, you’ll have opportunities to take on more complex analyses as your confidence and skill set grow.

What is a no experience data analytics job?

'No Experience Data Analytics' jobs are entry-level positions in the field of data analytics that do not require prior professional experience in analytics or data science. These roles are designed for beginners and often focus on teaching foundational skills, such as data cleaning, basic analysis, and using analytics tools like Excel or Tableau. Employers may look for candidates with strong problem-solving abilities, attention to detail, and a willingness to learn. Many of these jobs offer on-the-job training or require completion of online courses or certifications. They provide a pathway for individuals to start a career in data analytics, even if they have just graduated or are switching fields.
What job categories do people searching No Experience Data Analytics jobs in Springfield, NE look for? The top searched job categories for No Experience Data Analytics jobs in Springfield, NE are:
Infographic showing various No Experience Data Analytics job openings in Springfield, NE as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, and 4% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $111,488 per year, or $53.6 per hour.

$49K/yr

Full-time, Part-time

Re-posted 2 days ago


Job description

The PALACE Acquire Program offers you a permanent position upon completion of your formal training plan. As a Palace Acquire Intern you will experience both personal and professional growth while dealing effectively and ethically with change, complexity, and problem solving. The program offers a 3-year formal training plan with yearly salary increases. Promotions and salary increases are based upon your successful performance and supervisory approval.Qualifications:BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT:
Degree: Mathematics, statistics, computer science, data science or field directly related to the position. The degree must be in a major field of study (at least at the baccalaureate level) that is appropriate for the position.
You may qualify if you meet one of the following:
1. GS-7: You must have completed or will complete a 4-year course of study leading to a bachelor's from an accredited institution AND must have documented Superior Academic Achievement (SAA) at the undergraduate level in the following:
a) Grade Point Average 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum.
2. GS-9: You must have completed 2 years of progressively higher-level graduate education leading to a master's degree or equivalent graduate degree:
a) Grade Point Average - 2.95 or higher out of a possible 4.0 as recorded on your official transcript or as computed based on 4 years of education or as computed based on courses completed during the final 2 years of curriculum; OR 3.45 or higher out of a possible 4.0 based on the average of the required courses completed in your major field or the required courses in your major field completed during the final 2 years of your curriculum. If more than 10 percent of total undergraduate credit hours are non-graded, i.e. pass/fail, CLEP, CCAF, DANTES, military credit, etc. you cannot qualify based on GPA.
KNOWLEDGE, SKILLS AND ABILITIES (KSAs): Your qualifications will be evaluated on the basis of your level of knowledge, skills, abilities and/or competencies in the following areas:
1. Professional knowledge of basic principles, concepts, and practices of data science to apply scientific methods and techniques to analyze systems, processes, and/or operational problems and procedures.
2. Knowledge of mathematics and analysis to perform minor phases of a larger assignment and prepare reports, documentation, and correspondence to communicate factual and procedural information clearly.
3. Skill in applying basic principles, concepts, and practices of the occupation sufficient to perform routine to difficult but well precedented assignments in data science analysis.
4. Ability to analyze, interpret, and apply data science rules and procedures in a variety of situations and recommend solutions to senior analysts.
5. Ability to analyze problems to identify significant factors, gather pertinent data, and recognize solutions.
6. Ability to plan and organize work and confer with co-workers effectively.
PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week.
VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.Education:IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience, transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation.
FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying.Employment Type: OTHER