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

This role automates repetitive computer tasks including data entry, rule-based decision making ... Provide guidance, code review, and mentorship to entry-level analysts. * Support the team's AI ...

This role automates repetitive computer tasks including data entry, rule-based decision making ... Provide guidance, code review, and mentorship to entry-level analysts. * Support the team's AI ...

Collect and analyze data. * Provide feedback as requested by supervising BCBA and at team meetings ... Do you understand that this is an entry level position that ranges between $18-$20 based on ...

HR Coordinator

Dalton, GA · On-site

$18.50 - $24.25/hr

The HR Coordinator is an entry-level contributor that supports the human resources department by ... Ability to interpret and analyze data. * Proficient in Microsoft Office Suite products. Mohawk ...

The Operational Excellence Specialist is an entry level position. It is both, a facilitative leader ... Collaborates with plant team to conduct process analysis and performance reporting in support of ...

Entry Level Data Analyst information

See Rome, GA salary details

$13

$32

$61

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

As of Jul 5, 2026, the average hourly pay for entry level data analyst in Rome, GA is $32.94, 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.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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 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 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.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior 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 the most commonly searched types of Data Analyst jobs in Rome, GA? The most popular types of Data Analyst jobs in Rome, GA are:
What are popular job titles related to Entry Level Data Analyst jobs in Rome, GA? For Entry Level Data Analyst jobs in Rome, GA, the most frequently searched job titles are:
What cities near Rome, GA are hiring for Entry Level Data Analyst jobs? Cities near Rome, GA with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Rome, GA as of June 2026, with employment types broken down into 71% Full Time, 24% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $68,519 per year, or $32.9 per hour.
RPA Analyst

Other

Posted 5 days ago


Job description

Are you looking for more?
 

At Mohawk Industries, we're committed to more - more customer solutions, more process improvements, more sustainable manufacturing and more opportunities for our team.


As a Fortune 500, global flooring leader with some of the best-known brands in the industry, Mohawk is a great place to start or develop your career with an emphasis on more of what's important to you. Whether you want to lead more, innovate more, learn more or create more, you can find your more with Mohawk.

Job Objective: 

The RPA Analyst is an established performer who facilitates and supports the Continuous Improvement and Customer Experience transformation effort through automation. This role automates repetitive computer tasks including data entry, rule-based decision making, data gathering through queries and UI extraction, inbound/outbound communication through email/SMS/SFTP, customer website interaction, and AI-based data extraction from inbound documents. As the team advances its AI and business-intelligence capabilities, this role contributes to AI-assisted automation and supports reporting and dashboards that surface CX and operational insights.

Duties and Responsibilities of the Position:

  • Design and implement complex RPA process solutions in accordance with standard RPA best practices.
  • Interface with teams to define automation requirements and feasibility. Facilitate across different business functions as needed.
  • Focus on maximizing our automation impact by following the "80/20 rule," allowing teams to continue handling the remaining tasks manually. 
  • Communicate extensively with internal customers.
  • Perform all technical aspects of RPA development using the Microsoft Power Automate platform and other technologies such as API calls, Python scripting, and SQL.
  • Identify, track, and monitor project deliverables to ensure successful project completion.
  • Provide continuing support to internal customers on existing automation.
  • Lead training workshops and knowledge-sharing sessions on process automation.
  • Work on projects and assignments as part of a large work team.
  • Perform accurate analyses, conduct research, and draw meaningful conclusions about potential job/work-area impacts.
  • Draw from prior experience, interpret facts, and identify incomplete data/anomalies to solve problems.
  • Use innovative solutions to enhance personal work and, where applicable, the work of the team.
  • Effectively apply functional, process, and procedural or technical knowledge to address business challenges.
  • Provide guidance, code review, and mentorship to entry-level analysts.
  • Support the team's AI-enablement and business-intelligence goals by building and maintaining automations, reporting, and dashboards that surface CX and operational insights.
  • Perform other duties as needed.

Required Experience and Education:

  • Bachelor's degree in a related field preferred.
  • 2-4 years' relevant RPA or automation experience OR equivalent combination of education and experience.
  • Strong understanding of RPA (experience with Power Automate preferred).
  • Proficiency writing SQL and Python scripts to support automation.

Competencies:

  • Demonstrates strong knowledge of technical, process, and business principles as well as industry practices and standards.
  • Excellent communication, problem solving, and organizational skills.
  • Able to multitask, prioritize, and manage time effectively.
  • High level of integrity and discretion in handling sensitive and confidential data.
  • Proficient using Microsoft Office Suite products.

Other Pertinent Job Information:

 
  • Occasional exposure to hazardous conditions caused by noise, moving mechanical parts, airborne particles, and other conditions associated with a high-traffic production floor.
  • Must be able to walk long distances and stand for long periods of time.
  • Bending, crouching, and stooping may be required.
  • Must be able to work in non-climate-controlled facilities.
  • The work environment may be a noisy, high traffic manufacturing production floor.
  • May be required to work a flexible schedule to include evening and night shifts, weekends, and holidays.
  • The ability to wear personal protective gear correctly most of the day.
  • The ability to lift 50 pounds regularly.

Mohawk Industries is a leading global flooring manufacturer that creates products to enhance residential and commercial spaces around the world. Mohawk's vertically integrated manufacturing and distribution processes provide competitive advantages in the production of carpet, rugs, ceramic tile, laminate, wood, stone and vinyl flooring. Our industry-leading innovation has yielded products and technologies that differentiate our brands in the marketplace and satisfy all remodeling and new construction requirements. Our brands are among the most recognized in the industry and include American Olean, Daltile, Durkan, IVC, Karastan, Marazzi, Mohawk, Mohawk Home, Pergo, and Quick-Step. During the past decade, Mohawk has transformed its business from an American carpet manufacturer into the world's largest flooring company with operations in Australia, Brazil, Canada, Europe, India, Malaysia, Mexico, New Zealand, Russia and the United States.

Mohawk Industries, Inc. is an Equal Opportunity Employer including disability/veteran committed to an inclusive workplace and a proud Drugs Don't Work participant.