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Data Analytics Jobs in Rome, GA (NOW HIRING)

The Production Engineer will collect, validate, analyze, and organize data into meaningful reports for management decision making. Duties include creating production schedules, conferring with ...

The Production Engineer will collect, validate, analyze, and organize data into meaningful reports for management decision-making. The duties include creating production schedules, conferring with ...

The Production Engineer will collect, validate, analyze, and organize data into meaningful reports for management decision-making. The duties include creating production schedules, conferring with ...

Experience with data analytics tools * Familiarity with cloud-based GRC platforms * Familiarity with SOC reports Hybrid Structure: Seeking candidates currently in the GA, TN areas (within in drivable ...

Experience with data analytics tools * Familiarity with cloud-based GRC platforms * Familiarity with SOC reports Hybrid Structure: Seeking candidates currently in the GA, TN areas (within in drivable ...

Support end-to-end employee lifecycle processes, including onboarding, role changes, and offboarding. * Assist in managing employee retention programs and analyzing turnover data to provide ...

Support end-to-end employee lifecycle processes, including onboarding, role changes, and offboarding. * Assist in managing employee retention programs and analyzing turnover data to provide ...

Utilize data analytics to evaluate environmental performance, identify trends, and mitigate risks. * Lead and support environmental incident investigations, ensuring root causes are identified and ...

Utilize data analytics to evaluate environmental performance, identify trends, and mitigate risks. * Lead and support environmental incident investigations, ensuring root causes are identified and ...

Analyses business and financial data. * Completes complex analysis to create complex recommendations and new value opportunities. * Creates financial models based on analyses to support ...

This role focuses primarily on field claim data analysis, KPI tracking, and coordination of corrective actions to reduce field-related risks and Cost of Quality (CoQ). The role also supports B2B ...

This role focuses primarily on field claim data analysis, KPI tracking, and coordination of corrective actions to reduce field-related risks and Cost of Quality (CoQ). The role also supports B2B ...

Proficient in Excel or data analysis tools for result validation. * Advanced proficiency in Microsoft Excel for laboratory data management, including pivot tables, data validation, and automated ...

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Data Analytics information

See Rome, GA salary details

$24

$54

$94

How much do data analytics jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for data analytics in Rome, GA is $54.77, according to ZipRecruiter salary data. Most workers in this role earn between $43.99 and $62.07 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

What job categories do people searching Data Analytics jobs in Rome, GA look for? The top searched job categories for Data Analytics jobs in Rome, GA are:
What cities near Rome, GA are hiring for Data Analytics jobs? Cities near Rome, GA with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Rome, GA as of May 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Temporary. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,925 per year, or $54.8 per hour.

Production Engineer (Module)

Qcells

Cartersville, GA • On-site

Full-time

Posted 24 days ago


Qcells rating

6.1

Company rating: 6.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

Description
SUMMARYThe Production Engineer, under the direction of the Production Manager will provide support in the day-to-day operations of the manufacturing process. The Production Engineer will collect, validate, analyze, and organize data into meaningful reports for management decision making. Duties include creating production schedules, conferring with department supervisors to determine the progress of work and completion dates, inventory levels and solving production problems. The Production Engineer also compiles information into operational reports and leads cross-departmental initiatives to meet building-wide goals. Ideal candidate possesses strong background in Operations, Planning/Scheduling, Program Management, Continuous Improvement and Data Analytics.
RESPONSIBILITIES:
  • Work closely with production management in both ongoing reporting, as well as in the development of analytical tools to enhance production volume and profitability.
  • Identify production issues, analyze root causes and drive resolutions.
  • Work with Production Manager in budget analysis and preparation; development of operating goals for productivity, quality and safety.
  • Compile and analyze company data and create reports for management's review
  • Provide production line support including, but not limited to, implementing process improvements, troubleshooting equipment, and addressing operator inquiries.
  • Utilize LEAN, Six Sigma, and other best practice tools and principles for day-to-day problem solving and continuous improvement.
  • Lead the implementation of new manufacturing initiatives, including strategic resource allocation and applying good manufacturing principles, organization structure, leadership, sourcing and integration, production systems and techniques for improved efficiencies and adherence to best practice.
  • Keeps records, manages direct and indirect labor costs, coordinates with other departments to ensure material availability, staffing, capacity, machine availability and profitability.
  • Analyze statistical trends to develop KPIs with internal partners to set performance benchmarking.
  • Work with planning and scheduling, developing complete production plans, assigning personnel; establishing priorities; monitoring progress; revising schedules; resolving problems and reporting results of production processes.
  • Creation of mechanisms to improve production and streamline workflow
  • Identify and develop new reporting methods, templates, and tools to drive improvement across all business areas.
  • Adhere to the policies and procedures of Hanwha Q Cells.
  • Perform other duties and special project, as assigned by management.

REQUIRED QUALIFICATIONS:
  • Bachelor's degree in engineering or related field.
  • 0-5 years of related experience.
  • Fluency in Korean strongly preferred
  • Impeccable math and analytic skills
  • Must be comfortable with integrating new technology into an existing business environment.
  • Strong data analysis, data verification, problem-solving abilities.
  • Advanced knowledge with Microsoft Office Suite (Word, Excel, Power Point).
  • Able to prioritize and execute tasks in a high-pressure environment.
  • Excellent written and verbal communication skills.
  • Knowledge of Lean Manufacturing, Continuous Improvement, 5S, Lean/Six Sigma.
  • Advanced proficiency in using ERP/MES systems.
  • Able to stand and walk the production area throughout the workday
  • Able to lift to 50 pounds without restriction
  • Reaching, pushing, pulling, or lifting as required within limits set by Q Cells
  • Prolonged periods of sitting at a desk and working on a computer

PREFERRED QUALIFICATIONS:
  • Ability to filter "Big Data" and interpret for data driven decision making.
  • Extensive experience implementing new programs and data systems.
  • Ability to utilize abstract reasoning techniques to build reporting logic and establish creative solutions to new problems.
  • The ability to work with ambiguous data sets and information, using people skills and intuition to navigate solutions.
  • Ability to learn various software applications required for quality and performance reporting and analysis.

Hanwha Q CELLS provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics.

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