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Operation Data Analyst Jobs in Atlanta, GA (NOW HIRING)

Position Summary The Data Analyst supports the analysis, interpretation, and reporting of programmatic, financial, and operational data to enable effective oversight of Head Start grants and regional ...

Analyze procurement, supplier, spend, pricing, inventory, and operational data to identify trends, risks, and cost-saving opportunities. * Perform spend analysis, supplier performance analysis ...

Analyze procurement, supplier, spend, pricing, inventory, and operational data to identify trends, risks, and cost-saving opportunities. * Perform spend analysis, supplier performance analysis ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

In-Person / Face to Face JOB SUMMARY Under broad supervision, performs complex administrative duties and statistical, financial, or operational data analysis and reporting in support of management ...

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Data Analyst

Atlanta, GA · On-site

$65K - $85K/yr

Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations. * Prepare high-quality analytical reports, summaries, and data tables to support ...

... operational team to translate business requests into data driven results and recommendations ... Previous experience with analytics preferred Experience with data visualization tools such as ...

Data Analyst

Atlanta, GA · On-site

$70K - $75K/yr

... vehicle operations. Trusted by many Fortune 500 companies, CharterUP connects enterprises ... Data Analyst Reports to: Head of Business Intelligence, Finance and Accounting Location: Atlanta ...

SunPower is looking for a Data Analyst to join its Energy Analytics team and assist with ... This commitment applies to all persons involved in the operations of the Company and prohibits ...

Prepare operational metrics, exception reports, and trend analyses that highlight backlog, cycle time, data quality, and compliance performance. * Maintain procedures, data definitions, job aids, and ...

Prepare operational metrics, exception reports, and trend analyses that highlight backlog, cycle time, data quality, and compliance performance. * Maintain procedures, data definitions, job aids, and ...

Prepare operational metrics, exception reports, and trend analyses that highlight backlog, cycle time, data quality, and compliance performance. * Maintain procedures, data definitions, job aids, and ...

Data Analyst Job Requisition ID: JR0000000294 Number of Openings: 1 Shift: Day (United States of ... Project Coordinator will participate in Operation to identify missing juveniles utilizing latest ...

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Operation Data Analyst information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

How much do operation data analyst jobs pay per year?

As of Aug 30, 2026, the average yearly pay for operation data analyst in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 per year, depending on experience, location, and employer.

What does an operation data analyst do?

An Operation Data Analyst is responsible for collecting, analyzing, and interpreting data to help an organization improve its operational efficiency and decision-making processes. They work closely with different departments to identify trends, monitor key performance indicators, and provide actionable insights through reports and visualizations. Their goal is to optimize business operations by using data-driven analysis to recommend improvements and support strategic planning.

What are the key skills and qualifications needed to thrive as an operation data analyst?

To thrive as an Operation Data Analyst, you need strong analytical skills, a background in statistics or business, and proficiency in data modeling, often supported by a relevant bachelor's degree. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and Excel, as well as data analysis certifications, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication help analysts interpret complex data and present actionable insights to stakeholders. These skills ensure accurate data-driven decision-making, process optimization, and improved operational efficiency.

How does an operation data analyst typically collaborate with other departments to drive process improvements?

As an Operation Data Analyst, you'll frequently work with teams such as operations, finance, and IT to identify inefficiencies and recommend actionable solutions. This collaboration often involves gathering requirements from stakeholders, presenting data findings in clear visual formats, and supporting cross-departmental projects with insightful analysis. Effective communication and teamwork are essential, as you'll translate complex data into practical recommendations that align with business goals. This role offers the opportunity to see the direct impact of your work on operational efficiency and company performance.

What is an operation data analyst?

An operations data analyst is a professional who collects, analyzes, and interprets data related to business operations to improve efficiency and decision-making. They often use tools like Excel, SQL, and data visualization software to identify trends, optimize processes, and support strategic planning.
Infographic showing various Operation Data Analyst job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.

Full-time

Re-posted 28 days ago


Job description

Overview:
Data Analyst: This role applies industry-leading methodologies for working with large datasets to extract meaningful business insight and creatively solve business problems. This role will apply advanced methods and algorithms for identifying trends, predicting outcomes, and alerting the business to potential issues. Additionally, the Data Analyst is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions.
This role will create analytical models and datasets while working with a Data Engineer to develop code for extracting data from source systems, which will include the Relational Enterprise Data Warehouse, Operational Data Store, and Could platforms. The ideal candidate will also be passionate about developing machine learning models using Azure Databricks and/or Azure ML Studio, or a comparable platform for operationalizing Machine Learning workloads. Multiple could platforms expertise is desired.
Responsibilities:
  • Engage with business partners and stakeholders to understand business problems and translate them into data analytics solutions.
  • Coordinate and collaborate with data engineering, analytic engineering, and other resources to achieve business goals.
  • contribute to the end-to-end development and deployment of predictive and prescriptive models.
  • Explore large datasets using modeling, analysis, and visualization techniques.
  • Communicate results, analyses, and methodologies to technical and non-technical senior level stakeholders.
  • Ability to mentor, coach, and lead others.
  • Contribute to and help build ML/AI vision to support business strategy.

Required Knowledge, Skills, Abilities (Qualifications):
  • Degree in Data Science, Machine Learning, Applied Mathematics/Statistics, or a related field.
  • 3 years of experience applying data science, AI/machine learning, or analytics techniques to business problems.
  • Experience with supervised and unsupervised machine modeling techniques, with a focus on time-series forecasting.
  • Experience solving real-world problems using programming languages such as SQL, Spark, and Python, and deploying solutions to enterprise systems in data engineering and data analytics.

Ability to work on data Engineering and bigdata programming tools and technologies such as pig, Hive, Hadoop
Skills:
SQL, Spark, and Python,AI,ML