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Weekend Manufacturing Data Analyst Jobs in Ohio (NOW HIRING)

Overview The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to ... Maintain landed-cost, COGS, and manufacturing P&L models, including cost tracking and duty/tax ...

Milacron is looking for a Commercial Operations Data Analyst to join our team in Batavia, Ohio . In ... Milacron is a global leader in the manufacture, distribution and service of highly engineered and ...

... as manufactured homes and specialty dwellings - and the recreational market, including boats ... The Technical Data Analyst is responsible for analyzing and interpreting complex data to inform ...

Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation * Partner with Engineering and Manufacturing teams to align data structures ...

Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation * Partner with Engineering and Manufacturing teams to align data structures ...

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Weekend Manufacturing Data Analyst information

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 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 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, and why are they important?

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 the most commonly searched types of Manufacturing Data Analyst jobs in Ohio? The most popular types of Manufacturing Data Analyst jobs in Ohio are:
What are popular job titles related to Weekend Manufacturing Data Analyst jobs in Ohio? For Weekend Manufacturing Data Analyst jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Weekend Manufacturing Data Analyst jobs in Ohio look for? The top searched job categories for Weekend Manufacturing Data Analyst jobs in Ohio are:
Data Analyst

Data Analyst

Rogue Fitness

Columbus, OH โ€ข On-site

Full-time

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Job Description:

Overview

The Data Analyst partners across Finance, Accounting, Supply Chain, and Operations to build, automate, and maintain the sales, cost, and shipping. This role owns how our products are costed and shipped across the US, EU, Canada, and Australia. You'll develop the reporting leadership relies on, analyze carrier rates and surcharges, and respond to ad-hoc data requests that shape day-to-day business decisions. It carries a wide range of high-impact projects and significant room for ownership. Successful candidates are self-directed, organized, and eager to take problems from question through to solution.
The Data Analyst is a fully onsite role in Columbus, Ohio. Remote work is not available. Applicants must be authorized to work in the United States for any employer.

Responsibilities

  • Build, maintain, and automate sales, cost, and ecommerce reporting across multiple regions and currencies

  • Develop and maintain SQL/BigQuery queries to deliver clean, reliable data to business partners

  • Analyze shipping and freight costs, including carrier rates, surcharges, dim-weight, and peak-season increases. Quantify the impact of rate changes and contract proposals

  • Maintain landed-cost, COGS, and manufacturing P&L models, including cost tracking and duty/tax reconciliation, and audit them for accuracy and variances

  • Automate recurring reporting through scheduled jobs and scripting. Reduce manual work and future-proof existing processes

  • Respond to ad-hoc data and analysis requests from stakeholders and leadership to support pricing, sourcing, logistics

  • Identify issues and opportunities, then recommend and implement process and business improvements

Qualifications
  • Bachelor's degree in a relevant field (Finance, Accounting, Economics, Statistics, Data Analytics, or similar)

  • 0-3 years of analytics experience; new grads with strong relevant coursework, internships, or projects are encouraged to apply

  • Working knowledge of SQL (writing queries, joins, aggregations); exposure to BigQuery or another cloud data warehouse is a plus.

  • Advanced Microsoft Excel/Google Sheets skills, including building and maintaining complex models

  • Self-motivated and comfortable working in a fast-paced, deadline-driven environment with limited direction. A genuine go-getter who takes ownership

  • Strong organization and attention to detail across many concurrent projects

  • Familiarity with Python, R, or JavaScript preferred

  • Interest in or exposure to cost accounting, shipping/logistics, or manufacturing operations is a plus

By applying to Rogue, regardless of the platform you choose to use, you are agreeing to Rogue's preferred methods of communication (i.e. text message). Submitting an application, through whatever online forum is ultimately used, constitutes a knowing and voluntary agreement to send and receive text messages during the recruitment process.