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Data Analytics Trainee Jobs (NOW HIRING)

Our technical team is ranked best in the industry and is equally ranked by our previous trainees ... analytic data lineage and repositories. * Will engage in source to target data mapping. Additional ...

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How much do data analytics trainee jobs pay per year?

As of Sep 11, 2026, the average yearly pay for data analytics trainee in the United States is $81,518.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $96,500.00 per year, depending on experience, location, and employer.

What does a data analytics trainee do?

A Data Analytics Trainee is an entry-level professional who learns to collect, process, and analyze data to help organizations make informed decisions. Their responsibilities typically include cleaning and organizing data, using statistical tools to identify trends, and creating basic reports or visualizations. They often work under the supervision of experienced analysts, gaining practical experience with data analytics tools and techniques. This role is designed to provide foundational skills and knowledge needed for a career in data analytics.

What are the key skills and qualifications needed to thrive as a data analytics trainee?

To thrive as a Data Analytics Trainee, you need foundational knowledge of statistics, data analysis, and basic programming skills—often supported by a relevant degree or coursework in data science, mathematics, or computer science. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is highly valued, and introductory certifications in analytics can be advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and present data insights clearly. These skills are critical for turning raw data into actionable information, supporting decision-making, and building a successful analytics career.

What types of projects can a data analytics trainee expect to work on during their training period?

As a Data Analytics Trainee, you can expect to work on a variety of projects that involve collecting, cleaning, and analyzing datasets to uncover insights that support business decisions. Common tasks include preparing data for analysis, building dashboards for stakeholders, and assisting with the creation of reports or presentations. You may also collaborate with team members on real-world case studies, learning to use popular analytics tools such as Excel, SQL, or Python. These projects are designed to build your technical skills while giving you exposure to practical business challenges.

Can I get into data analytics with no experience?

Data analytics trainee roles often do not require prior experience, as they focus on training and skill development. Entry-level candidates typically learn tools like Excel, SQL, and basic data visualization during the onboarding process. Building foundational skills through online courses or certifications can improve your chances of entering the field without experience.

How can I start a career in data analytics?

To start a career as a data analytics trainee, develop skills in statistics, data manipulation, and visualization using tools like Excel, SQL, and Python or R. Obtain relevant certifications, such as Google Data Analytics or Microsoft Certified Data Analyst, and gain practical experience through internships or projects to build a strong foundation in data analysis.
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Infographic showing various Data Analytics Trainee job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $81,518 per year, or $39.2 per hour.

Market Information and Data Analytics (MIDA) - Data Quality - Intern - Summer 2027

Boston, MA

$29.25 - $48/hr

Full-time

Posted 10 days ago


Job description

Industry/Sector

Not Applicable

Specialism

Data Quality Assurance

Management Level

Intern/Trainee

Job Description & Summary

The Opportunity
As an AIT MIDA Data Quality - Intern, you will engage in projects that enhance the accuracy, completeness, and reliability of data, enabling businesses to trust their data for decision-making and reporting purposes. Within our Assurance practice, you will gain exposure to PwC's methodologies and support teams by performing basic tasks and conducting research. This role emphasizes learning and gaining exposure to professional work environments, where you will observe and contribute to the team's success.
As an Intern, you will focus on learning and gaining exposure to PwC's practices. You will support teams with basic tasks, participate in projects, and conduct research while observing professional work environments. This role encourages you to apply a learning mindset, appreciate diverse perspectives, and actively listen and communicate effectively. You will have the opportunity to gather information from various sources to analyze facts and discern patterns, contributing to your development and understanding of the business.
In this role, you will be part of a dynamic environment where each assignment presents unique challenges and opportunities for growth. You are encouraged to ask questions, take initiative, and produce quality work that adds value for clients and contributes to the team's success.
Responsibilities
- Supporting teams in data quality assurance tasks to enhance data accuracy and reliability
- Participating in data error checking processes to identify and correct inconsistencies
- Assisting in the development and implementation of data management plans to maintain data integrity
- Engaging in data profiling activities to gather informative summaries and statistics
- Collaborating with team members to manage independence processes and deliver data analytics for audit compliance
- Observing and learning from experienced professionals to gain exposure to PwC's practices and methodologies
- Contributing to the creation of data quality improvement plans to strengthen data management processes
- Applying a learning mindset to develop skills in data quality assurance and management
What You Must Have
- Currently pursuing or have completed a Bachelor's degree
- At least a 3.0 overall GPA
- Client service intern positions are considered entry-level roles. Candidates are typically in their third year of a four-year degree program or fourth year of a five-year program at the time of application
What Sets You Apart
- Preference for at least one of the following fields of study: Data Analytics and Statistics, Data Processing/Analytics/Science, Finance, Management Information Systems
- Preference for a 3.5 overall GPA
- Leveraging AI to create efficiencies, innovate ways of working and deliver distinctive outcomes
- Demonstrating proficiency in data error checking and integrity
- Participating in data quality assurance testing processes
- Supporting data management and quality improvement initiatives
- Engaging in active listening and communication within teams

Travel Requirements

Up to 20%

Job Posting End Date

September 26, 2026The salary range for this position is: $29.25 - $48.00. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws.As 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.