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Part Time Manufacturing Data Analyst Jobs Near Me

LHH US

Sr. Data Analyst

Hilliard, OH

$85K - $110K/yr

Experience within distribution, logistics, supply chain, warehousing, manufacturing, or ... Knowledge of data warehousing concepts and ETL processes. * Exposure to predictive analytics ...

LHH US

Sr. Data Analyst

Hilliard, OH

$85K - $110K/yr

Experience within distribution, logistics, supply chain, warehousing, manufacturing, or ... Knowledge of data warehousing concepts and ETL processes. * Exposure to predictive analytics ...

Anomatic Corporation

Quality Engineer

New Albany, OH · On-site

$75K - $85K/yr

Demonstrated experience leading root cause investigations (8D, A3, 5 Why, Fishbone), supporting ISO 9001 quality systems and internal audits, analyzing manufacturing data, and leading cross ...

Anomatic

Quality Engineer

New Albany, OH · On-site

$75K - $85K/hr

Demonstrated experience leading root cause investigations (8D, A3, 5 Why, Fishbone), supporting ISO 9001 quality systems and internal audits, analyzing manufacturing data, and leading cross ...

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How much do part time manufacturing data analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for part time manufacturing 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.

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Part Time Manufacturing Data Analyst jobs near you
A map of the United States highlighting the number of Part Time Manufacturing Data Analyst job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Part Time Manufacturing Data Analyst job openings in each state, with California having the most at 2 and Alaska the least at 0.

Sr. Data Analyst

LHH US

Hilliard, OH

$85K - $110K/yr

Full-time

Posted 11 days ago

Job description

LHH is representing a growing distribution organization, seeking a Senior Data Analyst to transform complex operational data into actionable business insights. This position plays a critical role in supporting warehouse operations, transportation, inventory management, and executive decision-making through advanced analytics and reporting.
The ideal candidate is highly analytical, thrives in a fast-moving environment, and can adapt quickly as business priorities evolve. This is an excellent opportunity for a data professional who enjoys solving complex problems, partnering with cross-functional leaders, and driving continuous improvement through data-driven decision-making.
Key Responsibilities
  • Develop, maintain, and optimize interactive dashboards and reports using Power BI to provide visibility into key operational and financial metrics.
  • Write complex SQL queries to extract, cleanse, analyze, and validate data from multiple systems and databases.
  • Analyze distribution, inventory, logistics, fulfillment, transportation, and customer service data to identify trends, risks, and improvement opportunities.
  • Partner with leadership and business stakeholders to understand reporting needs and deliver actionable insights that support strategic objectives.
  • Build and maintain data models, KPIs, scorecards, and forecasting tools to measure operational performance.
  • Investigate data discrepancies and collaborate with IT and business teams to improve data integrity and reporting accuracy.
  • Identify process improvement opportunities and recommend solutions that increase efficiency, reduce costs, and enhance operational performance.
  • Present findings and recommendations to both technical and non-technical audiences.
  • Support ad hoc reporting requests and special projects in a dynamic, high-growth environment.
  • Mentor junior analysts and help establish analytics best practices across the organization.
Qualifications
  • Bachelor's degree in Data Analytics, Business Analytics, Statistics, Computer Science, Information Systems, or a related field.
  • 5+ years of progressive experience in data analysis, business intelligence, reporting, or a related analytics role.
  • Advanced proficiency with SQL, including complex queries, joins, stored procedures, and data manipulation.
  • Strong experience developing dashboards, visualizations, and reporting solutions in Power BI.
  • Experience analyzing large datasets and translating findings into actionable business recommendations.
  • Strong understanding of data modeling, data validation, and reporting best practices.
  • Excellent communication and presentation skills with the ability to influence decision-makers.
  • Proven ability to manage multiple priorities and adapt quickly in an ever-changing business environment.
  • Experience within distribution, logistics, supply chain, warehousing, manufacturing, or transportation industries is strongly preferred.
Preferred Qualifications
  • Experience working with ERP, WMS, TMS, or other operational systems.
  • Knowledge of data warehousing concepts and ETL processes.
  • Exposure to predictive analytics, forecasting, or statistical analysis.
  • Experience leading analytics projects and collaborating across multiple departments.
Pay Details: $85,000.00 to $110,000.00 per year
Search managed by: Zachary Sanders
Equal Opportunity Employer/Veterans/Disabled
Military connected talent encouraged to apply
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
  • San Francisco Fair Chance Ordinance
Massachusetts Candidates Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.