ZipRecruiter

Log In

2

Entry Level Data Manipulation Jobs (NOW HIRING)

WSP

Environmental Data Analytics Specialist

Redmond, WA · On-site

$75K - $87K/yr

Perform both geographic and non-geographic data manipulation, data management and analysis, and ... entry-level technical assistance on various environmental issues. * Work on multiple projects ...

Pace

Entry Level Chemical Regulatory Analyst

Cleveland, OH · On-site

$21 - $23/hr

Skills related to data manipulation and the ability to use various Microsoft Office (and potentially other software applications such as Business Objects, MicroStrategies, OnBase, etc.) while working ...

next page

Showing results 1-20

All JobsData Manipulation JobsEntry Level Data Manipulation Jobs

Entry Level Data Manipulation information

See salary details

$13

$32

$61

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

As of Jul 22, 2026, the average hourly pay for entry level data manipulation 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.

Will AI replace a data analyst?

AI can automate routine data tasks such as data cleaning, basic analysis, and report generation, but it does not fully replace data analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and applying domain knowledge, which currently require human judgment and expertise. Skills in data manipulation tools like Excel, SQL, and visualization software remain important for the role.

Can I be a data analyst with no experience?

Entry level data manipulation roles often do not require prior experience, but familiarity with tools like Excel, SQL, or Python can be beneficial. Developing skills through online courses or certifications can help you qualify for data analyst positions even without professional experience.

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

AspectEntry Level Data ManipulationData Analyst
Required SkillsBasic data handling, Excel, data cleaningData visualization, statistical analysis, reporting
CertificationsNone or beginner coursesCertifications like Microsoft Excel, SQL, or Tableau
Work EnvironmentEntry-level roles in various industries, often in support teamsMore analytical roles in finance, marketing, or tech companies
Job ResponsibilitiesOrganizing and cleaning data setsInterpreting data, creating reports, providing insights

Entry Level Data Manipulation focuses on basic data handling and cleaning tasks, often as a stepping stone to more advanced roles. Data Analysts perform deeper analysis, interpret data trends, and generate reports. While both roles require familiarity with data tools, Data Analysts typically have broader analytical skills and may hold additional certifications. Understanding these differences helps job seekers target roles aligned with their skills and career goals.

Is 40 too late for data science?

Entry level data manipulation roles often require foundational skills in programming, data analysis, and tools like Excel or SQL. Age is not a barrier; many professionals transition into data science or related fields later in their careers by acquiring relevant certifications and skills.

Is 30 too late for data science?

Entry level data manipulation roles often require foundational skills in programming, data analysis, and tools like Excel or SQL. Age is not a barrier; many professionals transition into data science or related fields later in their careers by gaining relevant skills through online courses or certifications.
More about Entry Level Data Manipulation jobs
What job categories do people searching Entry Level Data Manipulation jobs look for? The top searched job categories for Entry Level Data Manipulation jobs are:
Entry Level Data Manipulation jobs near you
Infographic showing various Entry Level Data Manipulation job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,487 per year, or $32.9 per hour.

Environmental Data Analytics Specialist

WSP in the U.S.

Seattle, WA • On-site

Full-time

Posted 14 days ago

Job description

Job Summary:
WSP is a leading engineering and professional services firm dedicated to serving local communities. They are seeking an Environmental Data Analytics Specialist to support projects with their Environment, Remediation, and Water Team, focusing on data manipulation, management, and analysis within various software environments.
Responsibilities:
• Perform both geographic and non-geographic data manipulation, data management and analysis, and develop/use automated data management processes using a variety of software environments.
• Revise existing GIS layers and create new layers following established standards and procedures
• Maintain quality control standards and procedures for accurate and precise measurement and documentation.
• Assist with performing basic professional environmental science work relating to ecological systems, air, and water resources, assisting with verifying the characteristics of a site and providing entry-level technical assistance on various environmental issues.
• Work on multiple projects simultaneously, with a commitment to keeping projects on time and within budget
• Work in a production-oriented environment as part of a team
• Prepare technical documentation of project requirements, procedures, execution, and implementation plans
• Maintain metadata and best practices to support systems and data
• Assist in the preparation of various analytical reports and monthly progress reports suitable for meetings
• Exercise responsible and ethical decision-making regarding company funds, resources and conduct, and adhere to WSP’s Code of Conduct and related policies and procedures.
• Perform additional responsibilities as required by business needs.
Qualifications:
Required:
• Bachelor’s Degree in Environmental Science, Geology, Chemistry, Natural Resources Management, Geography, Computer Science, GIS, or a related science field.
• 1-3 years of experience in Environmental data.
• Experience using ESRI's ArcGIS Pro (ArcMap, ArcCatalog)
• Basic familiarity with database development and management (using MS Access and/or EQuIS)
• Basic familiarity with programming languages (for example Python, R, or Visual Basic)
• Familiarity with other Microsoft Office software (Excel, Office, Word, Access, and PowerPoint)
• Must possess good organizational and oral and written communication skills
• Ability to work both independently and as part of a team
• Excellent analytical / problem-solving skills
• Competent interpersonal and communication skills when interacting with others, expressing ideas effectively and professionally to a scientific and non-scientific audience.
• Proficient self-leadership with attention to detail, multi-tasking, and prioritization of responsibilities in a dynamic work environment.
• Basic proficiency with business writing, office automation and communication software, technology, and tools.
• Proven track record of upholding workplace safety and ability to abide by WSP’s health, safety and drug/alcohol and harassment policies.
Preferred:
• Master’s Degree in Environmental Science, Geology, Chemistry, Natural Resources Management, Geography, Computer Science, GIS, or a related science field.
• Experience with laboratory analytical data packages and electronic data reports
• Experience using ESRI’s ArcGIS Spatial Analyst Extension
• Proficient with programming languages Python, R, and/or Visual Basic
• Experience with 3D environmental visualization software (e.g. LeapFrog, EVS)
• Experience with code version control systems such as git
Company:
What if you could shape built and natural environments – and the future of those that use them? With us, you can. Founded in 1980, the company is headquartered in Houston, USA, with a team of 10001+ employees. The company is currently Late Stage.

Apply