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Entry Level Data Analyst Jobs in Canton, GA (NOW HIRING)

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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If so, our Entry Level Marketing & Sales Assistant role in Atlanta could be the perfect opportunity ... Collect and analyze marketing and sales performance data to optimize future campaigns and improve ...

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If so, our Entry Level Marketing & Sales Assistant role in Atlanta could be the perfect opportunity ... Collect and analyze marketing and sales performance data to optimize future campaigns and improve ...

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Be Seen First

If so, our Entry Level Marketing & Sales Assistant role in Atlanta could be the perfect opportunity ... Collect and analyze marketing and sales performance data to optimize future campaigns and improve ...

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Data Processing/Quality Assurance will be a resource to the Operations Manager. Responsibilities include accepting data from various clients and formats, posting data on relevant software, processing ...

Job Advertisement: Entry Level Sales Assistant Company: Endorse Infinity Location: Atlanta, GA ... Provide support in creating sales reports and analyzing sales data. * Assist in the development and ...

Accountant

Alpharetta, GA · Hybrid

$53K - $70K/yr

This entry-level accounting role will support daily accounting operations, general ledger activities, annual financial close processes, tax-related reporting, and financial data analysis. The ideal ...

We are looking for an entry-level Digital Marketer to join our team. No prior marketing experience ... Analyze campaign performance and provide data-driven insights to improve marketing efforts.

Showing results 41-60

Entry Level Data Analyst information

See Canton, GA salary details

$12

$31

$58

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

As of Aug 20, 2026, the average hourly pay for entry level data analyst in Canton, GA is $31.09, according to ZipRecruiter salary data. Most workers in this role earn between $19.95 and $34.71 per hour, depending on experience, location, and employer.

What does an entry level data analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What are the key skills and qualifications needed to thrive as an entry level data analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

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

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are the most commonly searched types of Data Analyst jobs in Canton, GA?

The most popular types of Data Analyst jobs in Canton, GA are:

What cities near Canton, GA are hiring for Entry Level Data Analyst jobs?

Cities near Canton, GA with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Canton, GA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, 2% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $64,665 per year, or $31.1 per hour.

Data Validation Risk - Senior Associate

Pwc

Atlanta, GA • On-site

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 13 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Data Validation Risk - Senior Associate, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Risk & Regulatory practice, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
As a Senior Associate, you will build meaningful client connections and learn how to manage and inspire others. Navigating increasingly complex situations, you will grow your personal brand and deepen your technical skills. You are expected to anticipate the needs of your teams and clients, delivering quality solutions. Embracing increased ambiguity, you will be comfortable when the path forward isn't clear, using these moments as opportunities to grow.
In this role at PwC, you will leverage advanced technologies and techniques to design and develop robust data validation solutions for clients. You will use a broad range of tools, methodologies, and techniques to generate new ideas and solve problems, interpreting data to inform insights and recommendations. Upholding professional and technical standards, you will contribute to the firm's code of conduct and independence requirements.
Responsibilities
- Utilizing data validation tools to facilitate efficient data conversions and ERP implementations
- Developing data integration and transformation solutions to support client needs
- Building and maintaining data infrastructure to support scalable data solutions
- Applying data lifecycle and governance skills (data lineage, traceability, data quality, reliability and accuracy) on data and ERP implementations
- Managing data validation processes to maintain data quality and integrity
- Collaborating with clients to understand their data requirements and deliver tailored solutions
- Manipulating large and complex data sets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake
- Engaging in continuous learning to adapt to emerging data technologies 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: Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Economics, Engineering, Finance, Mathematics/Statistics, Operations/Supply Chain
- Ability to manipulate large and complex data sets using Excel, Alteryx, SQL, Python, Databricks, or Snowflake
- Utilizing advanced skills in data validation and transformation processes
- Applying analytical thinking to solve complex data challenges
- Leveraging experience with cloud platforms such as AWS and Azure
- Experience related to IT Audit/SOX or Data Migration/Conversion/Integration
- Embracing change and demonstrating learning agility in dynamic environments

Travel Requirements

Up to 40%

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.

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