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Weekend 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 ...

New

LHH US

Sr. Data Analyst

Hilliard, OH · On-site

$85K - $110K/yr

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

New

Bechtel

Data & Communications Analyst

New Albany, OH · On-site

Mining & Metals, and the Manufacturing and Technology markets. Our services span from initial ... The ESH Data Analyst manages ES&H statistical reporting for the project, analyzing data to identify ...

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 ...

Posted today

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How much do weekend manufacturing data analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for weekend 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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Weekend Manufacturing Data Analyst jobs near you
A map of the United States highlighting the number of Weekend Manufacturing Data Analyst job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Weekend Manufacturing Data Analyst job openings in each state, with California having the most at 2 and Hawaii the least at 0.

Sr. Data Analyst

LHH US

Hilliard, OH

$85K - $110K/yr

Full-time

Posted 2 days ago

New

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.