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Weekend Manufacturing Data Analyst Jobs in Georgia

Position Summary The Data Analyst I - Curant Rare supports Curant Health's manufacturer-facing reporting and operational analytics for an assigned Rare program. This role is responsible for recurring ...

IT Data Analyst

Warner Robins, GA · On-site

$75K - $85K/yr

Knowledge of finance, inventory, procurement, warehouse, manufacturing, or supply-chain processes ... Room for professional growth in data analytics, business intelligence, data governance, and ...

IT Data Analyst

Warner Robins, GA · On-site

$75K - $85K/yr

Knowledge of finance, inventory, procurement, warehouse, manufacturing, or supply-chain processes ... Room for professional growth in data analytics, business intelligence, data governance, and ...

Data Security Architect

Atlanta, GA · On-site

$61.25 - $78.75/hr

... analytics platforms, ERP systems, SaaS applications, and AI/ML workloads * Architect secure data flows between enterprise IT and OT/manufacturing systems (ERP, MES, SCADA,etc.) * Partner with ...

Utilize data analytics to identify losses and track impact. Partner with Manufacturing, Quality, Engineering, Maintenance, and Process Technology teams to align initiatives to meet business ...

Utilize data analytics to identify losses and track impact. Partner with Manufacturing, Quality, Engineering, Maintenance, and Process Technology teams to align initiatives to meet business ...

Utilize data analytics to identify losses and track impact. Partner with Manufacturing, Quality, Engineering, Maintenance, and Process Technology teams to align initiatives to meet business ...

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Weekend Manufacturing Data Analyst information

What does a weekend manufacturing data analyst do?

A Weekend Manufacturing Data Analyst is responsible for collecting, analyzing, and interpreting data related to manufacturing processes, typically during weekend shifts. They work to identify trends, inefficiencies, and opportunities for improvement in production operations. Their insights help manufacturing teams make informed decisions, optimize workflows, and enhance product quality. These analysts often use specialized software and reporting tools to generate actionable reports for management and engineering teams.

What are the key skills and qualifications needed to thrive as a weekend manufacturing data analyst?

To thrive as a Weekend Manufacturing Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a relevant degree such as in engineering, mathematics, or data science. Familiarity with manufacturing data systems, SQL databases, and data visualization tools like Power BI or Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills for this role. These skills and qualities are crucial for identifying trends, supporting process improvements, and delivering accurate insights that drive manufacturing efficiency during weekend operations.

What are some unique challenges that weekend manufacturing data analysts face compared to weekday analysts?

Weekend Manufacturing Data Analysts often encounter challenges such as working with reduced on-site staff and limited immediate support from other departments, which requires a higher degree of independence and problem-solving. Additionally, production schedules or priorities might differ over the weekend, resulting in unique data trends and urgent analysis requests. However, this role provides a valuable opportunity to take ownership of data-driven decision-making during critical off-peak operations, and successful analysts can often leverage this experience for advancement into broader analytical or supervisory positions.

What is the difference between Weekend Manufacturing Data Analyst vs Weekend Quality Control Analyst?

AspectWeekend Manufacturing Data AnalystWeekend Quality Control Analyst
Required CredentialsTypically requires a degree in data analysis, manufacturing, or related fieldRequires a background in quality assurance, manufacturing, or related certifications
Work EnvironmentData-focused, working with manufacturing systems and databases during weekendsInspection and testing in manufacturing settings during weekends
Industry UsageCommonly employed in manufacturing plants to analyze production dataUsed to ensure product quality and compliance in manufacturing facilities

The Weekend Manufacturing Data Analyst and Weekend Quality Control Analyst roles both operate in manufacturing environments during weekends. While the Data Analyst focuses on analyzing production data to optimize processes, the Quality Control Analyst concentrates on inspecting products to maintain quality standards. Both roles require industry-specific knowledge and are essential for manufacturing operations, but they differ in their core responsibilities and skill sets.

What are the most commonly searched types of Manufacturing Data Analyst jobs in Georgia?

The most popular types of Manufacturing Data Analyst jobs in Georgia are:

What job categories do people searching Weekend Manufacturing Data Analyst jobs in Georgia look for?

The top searched job categories for Weekend Manufacturing Data Analyst jobs in Georgia are:

Full-time

Posted 24 days ago


Job description

BUSINESS INTELLIGENCE ANALYST

ABOUT OLÉ MEXICAN FOODS

Olé Mexican Foods is one of the largest tortilla manufacturers in the United States, serving retail and foodservice customers nationwide for more than 35 years. Headquartered in Norcross, Georgia, Olé continues to grow through innovation, operational excellence, and data-driven decision-making.

Our Enterprise Technology & Analytics department supports manufacturing, distribution, sales, warehouse operations, and executive leadership by delivering modern Business Intelligence solutions using Microsoft's analytics platform.

POSITION SUMMARY

Olé Mexican Foods is seeking a motivated BUSINESS INTELLIGENCE ANALYST to join our Business Intelligence team.

This position is ideal for an early-career professional who enjoys solving business problems with data and wants to build a career in Data Analyst and Analytics. The successful candidate will assist in developing reports, dashboards, and analytical solutions using Microsoft Power BI while gaining hands-on experience with Microsoft Fabric and enterprise data platforms.

This position will work closely with the Business Intelligence team to support reporting, analytics, and continuous improvement initiatives across the organization.

This role provides an excellent opportunity to work with real-world manufacturing, supply chain, logistics, and sales data while learning from experienced Business Intelligence professionals.

Reports To: Business Intelligence Supervisor

Department: Enterprise Technology & Analytics

PRIMARY RESPONSIBILITIES

  • Develop and maintain Power BI dashboards and reports.
  • Support the design, enhancement, and maintenance of business reporting solutions.
  • Create SQL queries to retrieve, validate, and analyze business data.
  • Assist with Microsoft Fabric datasets, semantic models, and reporting solutions.
  • Validate data accuracy and investigate data quality issues.
  • Build meaningful visualizations that help business leaders make informed decisions.
  • Gather reporting requirements from business users and translate them into reporting solutions.
  • Document reports, datasets, and business processes.
  • Troubleshoot existing reports and assist with ongoing enhancements.
  • Participate in Business Intelligence and analytics projects across multiple departments.

REQUIRED QUALIFICATIONS

Education

  • Associate or bachelor's degree in business Analytics, Information Systems, Computer Science, Data Analytics, Engineering, Mathematics, or a related field.
  • Equivalent practical experience will also be considered.

Technical Skills

  • Working knowledge of Microsoft Power BI.
  • Basic to intermediate SQL skills.
  • Strong Microsoft Excel skills.
  • Understanding of data analysis concepts.
  • Familiarity with Power Query is preferred.
  • Exposure to Microsoft Fabric is preferred but not required.

Professional Skills

  • Strong analytical and problem-solving abilities.
  • Excellent attention to detail.
  • Strong written and verbal communication skills.
  • Ability to learn new technologies quickly.
  • Ability to work both independently and as part of a collaborative team.
  • Strong organizational and time-management skills.

PREFERRED QUALIFICATIONS

  • Academic, internship, personal, or professional projects using Power BI.
  • Basic understanding of DAX.
  • Familiarity with relational databases.
  • Exposure to Microsoft Fabric, Azure, or other cloud analytics platforms.
  • Knowledge of Git or version control is a plus.
  • Experience in manufacturing, distribution, logistics, ERP, or supply chain environments is a plus.

WHAT WILL MAKE YOU SUCCESSFUL

  • You enjoy solving business problems using data.
  • You are naturally curious and eager to learn new technologies.
  • You take ownership of your work and pay close attention to detail.
  • You communicate effectively with both technical and business users.
  • You continuously look for opportunities to improve reports, processes, and business insights.
  • You are excited to grow your career in Business Intelligence, Analytics, and Microsoft Fabric.

WHY JOIN OLÉ MEXICAN FOODS

  • Work with enterprise-scale manufacturing, distribution, and sales data.
  • Gain hands-on experience with Microsoft Power BI and Microsoft Fabric.
  • Learn from experienced Business Intelligence professionals.
  • Build solutions that directly support business operations across the United States.
  • Enjoy opportunities for professional growth into Business Intelligence, Analytics, and Data Engineering.

IDEAL CANDIDATE

We are looking for someone with a strong analytical foundation and a willingness to learn. Whether your experience comes from school, internships, certifications, personal projects, or early professional experience, we value curiosity, initiative, problem-solving ability, and the desire to build a long-term career in Business Intelligence.

Candidates are encouraged to include examples of Power BI dashboards, reports, GitHub repositories, Microsoft Learn projects, or other analytics work that demonstrates their technical abilities. Academic and personal projects are welcome and will be considered during the evaluation process.