Purpose: We're looking for an Inventory Data Analyst with 5+ years of hands-on fulfillment and inventory experience to support a high-velocity, Amazon-style fulfillment model. This role sits within ...
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Purpose: We're looking for an Inventory Data Analyst with 5+ years of hands-on fulfillment and inventory experience to support a high-velocity, Amazon-style fulfillment model. This role sits within ...
Data Analyst information
See Cleveland, GA salary details
$29.2K - $37.2K
4% of jobs
$37.2K - $45.2K
7% of jobs
$45.2K - $53.2K
13% of jobs
$53.6K is the 25th percentile. Wages below this are outliers.
$53.2K - $61.1K
18% of jobs
The median wage is $64.8K / yr.
$61.1K - $69.1K
16% of jobs
$69.1K - $77.1K
13% of jobs
$80.1K is the 75th percentile. Wages above this are outliers.
$77.1K - $85K
9% of jobs
$85K - $93K
5% of jobs
$93K - $101K
9% of jobs
$101K - $109K
3% of jobs
$109K - $116.9K
2% of jobs
$29.2K
$71.1K
$116.9K
How much do data analyst jobs pay per year?
As of Aug 11, 2026, the average yearly pay for data analyst in Cleveland, GA is $71,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,700.00 and $83,400.00 per year, depending on experience, location, and employer.
What is the difference between Data Analyst vs Data Scientist?
| Aspect | Data Analyst | Data Scientist |
|---|---|---|
| Required Credentials | Bachelor's degree in statistics, mathematics, or related field; often certifications in data analysis tools | Bachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees |
| Work Environment | Business settings, focusing on data reporting and visualization | Research and development environments, focusing on predictive modeling and complex algorithms |
| Employer & Industry Usage | Retail, finance, healthcare, and marketing companies | Tech firms, research institutions, and large enterprises |
While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.
Can I learn a data analyst in 3 months?
A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.
What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?
Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.
What work does a data analyst do?
A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?
To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.
What are top 3 skills for a data analyst?
The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.
What does a data analyst do?
A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Cleveland, GA? The most popular types of Data Analyst jobs in Cleveland, GA are:
What are popular job titles related to Data Analyst jobs in Cleveland, GA? For Data Analyst jobs in Cleveland, GA, the most frequently searched job titles are:
What cities near Cleveland, GA are hiring for Data Analyst jobs? Cities near Cleveland, GA with the most Data Analyst job openings:
Full-time
Re-posted 20 days ago
Job description
Who are we?
From our corporate headquarters near Atlanta, Georgia to operations in eight countries (the Dominican Republic, China, Hong Kong, Vietnam, India, the Netherlands, UK, USA), GRI-Alleset is a privately held company which focuses on the design, development and manufacturing of disposable medical supplies. We pride ourselves on developing strong customer relationships, driving new product innovation while adapting to ever-changing global market demands. To learn more about our company, visit us at www.gri-alleset.com.
Purpose:
We’re looking for an Inventory Data Analyst with 5+ years of hands-on fulfillment and inventory experience to support a high-velocity, Amazon-style fulfillment model. This role sits within the execution layer of the organization, focused on day-to-day inventory and replenishment operations, supporting a custom procedure pack environment with complex inventory flows.
The ideal candidate has direct experience working in SAP and/or NetSuite and is highly proficient at extracting, validating, and managing large data sets to support ongoing fulfillment execution. This is an execution-critical role where accuracy, speed, and consistency matter.
Essential Duties and Responsibilities:
- Own end-to-end inventory analytics to support daily fulfillment execution, service-level targets, and working-capital control
- Translate inventory, demand, and lead-time data into actionable replenishment and stocking actions
- Define and maintain inventory policies including min/max levels, safety stock, and reorder logic
- Analyze lead-time variability (supplier, transit, internal processing) and quantify its impact on inventory risk
- Monitor inventory consumption trends to determine reorder timing and prevent shortages or excess
- Develop and maintain inventory health dashboards (turns, aging, excess, shortage risk)
- Partner with Planning, Procurement, and Operations to support replenishment execution
- Ensure data accuracy and integrity within SAP and/or NetSuite
- Other duties as assigned
Education & Qualifications:
- 5+ years in a fulfillment, inventory, or supply-chain analytics role
- Strong understanding of:
- Inventory replenishment logic
- Min / Max planning
- Safety stock
- Lead-time and variability impacts
- Experience in a high-SKU, fast-turn, fulfillment-driven environment (Amazon-style or equivalent)
- Hands-on experience with SAP and/or NetSuite
- Advanced Excel skills — extremely proficient working with large, complex data sets (high row counts, multi-source joins, pivots, formulas)
- Proven ability to convert raw data into clear, execution-ready outputs
Physical Demands:
Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.
About Alleset
Sourced by ZipRecruiter
Industry
Medical equipment and supplies manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Flowery Branch, GA, US
Year founded
2000