1

Packaging Development Data Analyst Jobs (NOW HIRING)

Technical expertise regarding data models, database design development, data mining and ... Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL ...

Support enhancement of the hazard analysis with internal and external tools and data systems ... Exposure to product development, manufacturing, and/or supply quality is also desirable (5+ years)

... development, data mining and segmentation techniques • Strong knowledge of and experience with ... packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL ...

... development, data mining, and segmentation techniques. * Proficiency with reporting packages ... Strong analytical skills with the ability to collect, organize, analyze, and disseminate ...

Technical expertise regarding data models, database design development, data mining, and ... Strong knowledge of and experience with reporting packages (e.g., Business Objects), databases (SQL ...

Data Analyst III Contract | Remote (EST Only) Duration: 6 Months (Contract-to-Hire Potential) Start ... packages, and SSRS reports. * Perform ETL development, data validation, and quality assurance ...

... development, data mining and segmentation techniques ... Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL ...

... Analyst role involves interpreting data and providing analytical insights to support business ... development, data mining and segmentation techniques • Adept at queries, report writing and ...

Experience working in an Agile development environment, including requirements definition and ... Knowledge of statistics and experience using statistical languages and packages for analyzing large ...

next page

Showing results 1-20

Packaging Development Data Analyst information

See salary details

$34K

$82.6K

$136K

How much do packaging development data analyst jobs pay per year?

As of Sep 8, 2026, the average yearly pay for packaging development data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a packaging development data analyst do?

A Packaging Development Data Analyst is responsible for analyzing data related to packaging processes, materials, and designs to help optimize efficiency and reduce costs. They collect, interpret, and present data to support packaging innovation, sustainability goals, and regulatory compliance. Their work often involves collaborating with packaging engineers, supply chain teams, and product managers to develop data-driven solutions for packaging challenges. By leveraging their analytical skills, they help companies make informed decisions that improve packaging performance and meet business objectives.

What are the key skills and qualifications needed to thrive as a packaging development data analyst, and why are they important?

To thrive as a Packaging Development Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in packaging engineering or a related field. Familiarity with data analysis tools like Excel, SQL, and statistical software, as well as knowledge of packaging design systems, is typically required. Attention to detail, problem-solving abilities, and effective communication are important soft skills for this role. These skills are essential for interpreting complex data, driving innovation, and ensuring packaging solutions are both efficient and compliant.

How does a packaging development data analyst typically collaborate with cross-functional teams during new product launches?

As a Packaging Development Data Analyst, you will work closely with R&D, engineering, marketing, and supply chain teams to ensure packaging solutions meet both technical and market requirements. Your role involves analyzing data on materials, costs, and performance, then communicating insights and recommendations to team members. You’ll often participate in project meetings, provide data-driven input on design decisions, and support troubleshooting by identifying patterns and potential risks. This collaborative environment offers valuable exposure to various departments and opportunities to broaden your expertise.

What is the difference between Packaging Development Data Analyst vs Packaging Engineer?

AspectPackaging Development Data AnalystPackaging Engineer
Required CredentialsBachelor's in Data Science, Packaging, or related field; often certifications in data analysisBachelor's or higher in Packaging Engineering, Mechanical Engineering, or related field
Work EnvironmentData-focused roles within R&D or product development teams, often in office settingsDesign, testing, and development labs; manufacturing environments
Industry UsageUsed across consumer goods, food, and beverage industries focusing on packaging data analysisApplied in packaging design, material selection, and process optimization in manufacturing

The Packaging Development Data Analyst primarily focuses on analyzing packaging data to support development projects, while the Packaging Engineer is involved in designing and testing packaging solutions. Both roles require technical knowledge, but the analyst emphasizes data interpretation, whereas the engineer concentrates on physical design and testing processes.

What are popular job titles related to Packaging Development Data Analyst jobs?

For Packaging Development Data Analyst jobs, the most frequently searched job titles are:

Full-time

Posted 14 days ago


Job description

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions.

Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.

Responsibilities

  • Interpret data, analyze results using statistical techniques and provide ongoing reports
  • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Acquire data from primary or secondary data sources and maintain databases/data systems
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
  • Work with management to prioritize business and information needs
  • Locate and define new process improvement opportunities

Requirements

  • Proven working experience as a data analyst or business data analyst
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • BS in Mathematics, Economics, Computer Science, Information Management or Statistics