ZipRecruiter

Log In

2

Entry Level Data Manipulation Jobs (NOW HIRING)

Jon Ossoff for Senate

Digital Associate

Atlanta, GA · On-site

Requirements This is an entry level position. Qualified applicants will demonstrate strong ... Advanced experience with Excel, databases or other data manipulation software. * Basic knowledge of ...

Jon Ossoff for Senate

Digital Associate

Atlanta, GA · On-site

Requirements This is an entry level position. Qualified applicants will demonstrate strong ... Advanced experience with Excel, databases or other data manipulation software. * Basic knowledge of ...

Jon Ossoff for Senate

Digital Associate

Atlanta, GA

Requirements This is an entry level position. Qualified applicants will demonstrate strong ... Advanced experience with Excel, databases or other data manipulation software. * Basic knowledge of ...

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.
Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate

PwC

Boston, MA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago

PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

18th of 57 rated business consultants

Job description

Industry/Sector

Not Applicable

Specialism

Customer

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Front Office Strategy Consulting - PLS Customer Analytics - Senior Associate, you will leverage advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Within our Management Consulting practice, you will focus on utilizing your skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As a Senior Associate, you will build meaningful client connections, learning how to manage and inspire others while navigating increasingly complex situations. You are expected to anticipate the needs of your teams and clients, delivering quality work and growing your personal brand.
In this role, you will be part of a dynamic team that leverages data to drive insights and make informed business decisions. You will have the opportunity to deepen your understanding of the business context and how it is evolving, using critical thinking to break down complex concepts. By interpreting data to inform insights and recommendations, you will contribute to optimizing client operations and achieving strategic goals. This position offers a chance to develop your skills and grow within a supportive environment, embracing increased ambiguity and using these moments as opportunities for personal and professional growth.
Responsibilities
- Leveraging advanced analytics techniques to extract insights from large datasets and drive data-driven decision-making
- Utilizing skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems
- Building meaningful client connections and managing relationships to anticipate and address client needs
- Navigating complex situations to grow personal brand and deepen technical skills
- Developing and deploying scalable data visualization and analytics solutions using tools like Power BI and Tableau
- Conducting exploratory data analysis and predictive modeling to inform insights and recommendations
- Integrating data from various sources to enhance data quality and integrity
- Validating data security and compliance within analytics frameworks
- Creating dashboards and reports to communicate findings effectively to stakeholders
- Mentoring junior team members and guiding them in the use of data analysis tools and methodologies
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science, Economics, Finance
- At least one of the following: a Certification in databases (Databricks, MS SQL), visualization tools (Power BI), cloud platforms (AWS, Azure, GCP), or predictive modeling/ML (Python, SAS)
- Demonstrating proficiency in data analysis and visualization tools
- Utilizing advanced skills in predictive analytics and machine learning
- Excelling in customer analytics and forecasting methodologies
- Navigating complex data environments with ease
- Building meaningful client relationships through effective communication

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

What PwC employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply