manufacturing data analyst

Bosch

<div>Company Description 
FHP Manufacturing is a leader in the production of geothermal and water source heat pumps, providing some of the most efficient heating and cooling comfort solutions in the industry. Located in Fort Lauderdale, Florida, FHP is a joint venture between Robert Bosch (Bosch) and Carrier Corporation (Carrier). 
Job Description 
Job Summary:
We are seeking a results-driven Data Analyst to join our Plant Controlling team and spearhead our analytics and automation initiatives. This is not a traditional reporting role; you will be the catalyst for transforming our data landscape. You will architect and build robust ETL pipelines, develop sophisticated analytical models, and create interactive visualizations that provide unprecedented insight into our manufacturing operations.
This role is a critical business partner to plant leadership, focused on leveraging data to drive strategic decisions in production efficiency, cost management, and inventory optimization. If you are passionate about building scalable data solutions, automating complex processes, and using data science to solve real-world business problems, this is the perfect opportunity to make a tangible impact in a world-class manufacturing environment.
Key Responsibilities:<ul><li>
Data Engineering &amp; Automation:<ul><li>
Design, build, and maintain automated ETL pipelines (using tools like Alteryx, Power Query, Python) to extract and consolidate large datasets from SAP (CO, FI, MM) and other plant systems into standardized models for analysis.</li><li>
Develop and deploy automation scripts (Python, VBA) to streamline financial calculations, month-end closing activities, and reporting workflows, significantly reducing manual effort and improving accuracy.</li><li>
Architect and implement robust data reporting frameworks, ensuring data integrity and creating a &quot;single source of truth&quot; for key plant metrics.</li></ul></li><li>
Advanced Analytics &amp; Visualization:<ul><li>
Develop and deploy interactive dashboards in Power BI and/or Tableau to visualize KPIs for executive stakeholders, including production efficiency, cost variances, inventory health, and cash flow trends.</li><li>
Perform comprehensive variance, trend, and ratio analysis to support FP&amp;A reviews, providing clear commentary on deviations from budget and forecast.</li><li>
Write and optimize complex SQL queries to support deep-dive analytics into inventory, expenses, and operational performance.</li></ul></li><li>
Inventory &amp; Cost Controlling:<ul><li>
Conduct in-depth analysis of inventory levels, turnover, and aging to identify slow-moving and obsolete (SLOB) risks and opportunities for optimization.</li><li>
Support and enhance the physical inventory and cycle counting programs by automating data preparation, discrepancy analysis, and results reporting.</li><li>
Analyze manufacturing cost variances (material, labor, overhead) to identify root causes and partner with operations to develop corrective action plans.</li></ul></li><li>
Predictive Modeling &amp; Process Improvement:<ul><li>
(Opportunity for Growth) Implement foundational time-series or regression models (using Python/R) to forecast key metrics like production volume, scrap rates, or inventory needs.</li><li>
Act as a subject matter expert on data tools and methodologies, training junior team members and promoting a data-driven culture within the plant.</li><li>
Continuously identify and implement process improvements by leveraging technology to enhance the capabilities and efficiency of the controlling function.</li></ul></li></ul> 

Qualifications 
<ul><li>
Bachelor&rsquo;s degree in Data Science, Analytics, Information Systems, Business, Finance, or a related quantitative field. Master's degree is a strong plus.</li><li>
1-3 years of experience in a data-intensive role such as Data Analyst, Business Analyst, or Financial Analyst with a heavy focus on data manipulation and automation.</li><li>
Proven hands-on experience with an ERP system, with a strong preference for SAP (FI/CO modules).</li><li>
Advanced proficiency in Microsoft Excel, particularly Power Query for ETL and data modeling.</li><li>
Demonstrated experience building automated workflows and ETL pipelines using tools like Alteryx, Python (Pandas), or similar.</li><li>
Expertise in data visualization and creating executive-level dashboards using Power BI or Tableau.</li></ul> 
Additional Information 
Desired Qualifications:<ul><li>
Strong proficiency in writing and optimizing SQL for data extraction and analysis from relational databases.</li><li>
Proficiency in a scripting language like Python or R for data analysis and statistical modeling (e.g., Scikit-learn, Statsmodels).</li><li>
Experience in a manufacturing, supply chain, or financial controlling environment.</li><li>
Solid understanding of cost accounting and inventory management principles.</li><li>
Exceptional problem-solving skills with the ability to translate complex business questions into a clear analytical framework and actionable insights.</li><li>
Excellent communication skills, with the proven ability to present complex data and technical concepts to senior leadership and non-technical stakeholders</li></ul>
Equal Opportunity Employer, including disability / veterans<ul><li>Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.</li></ul></div>

Data Analyst

Campbell's

<div><div>Since 1869, we've connected people through food they love. We&rsquo;re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell&rsquo;s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao&rsquo;s Homemade, Snack Factory, Snyder&rsquo;s of Hanover. Swanson, and V8.</div><div></div><div>
Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.</div><div></div><div>
Job Title: Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus) 
Location: Richmond Ut. 
Job Type: Part-Time 
Department: Operations / Continuous Improvement / IT 
Reports To: Manager of Continuous Improvement</div><div> 
Position Summary 
We are seeking a Part-Time Data Analyst Technician with a strong computer science and data analytics background. This role will focus on transforming manufacturing and operational data into actionable insights through Power BI dashboards, Python automation, SQL data management, and DAX-based analytics.</div><div>
The ideal candidate is highly analytical, comfortable working with manufacturing data, and capable of building automated data pipelines and visualizations that support real-time operational decision-making, productivity tracking, and continuous improvement initiatives.</div><div>
Key Responsibilities - 
Data Analytics &amp; Visualization: 
Develop and maintain Power BI dashboards and reports to monitor manufacturing performance, productivity, downtime, and quality metrics. 
Write and optimize DAX measures and calculated columns to support advanced operational analytics. 
Transform raw manufacturing data into meaningful visualizations for leadership and production teams. 
Build automated reporting solutions to support daily production reviews and Redzone performance tracking.</div><div>
Data Engineering &amp; Programming: 
Write Python scripts to automate data extraction, transformation, and reporting processes. 
Design and maintain SQL queries, stored procedures, and database structures for operational data. 
Integrate data from Redzone MES, ERP systems, spreadsheets, and other manufacturing data sources.</div><div>
Manufacturing Systems Implementation : 
Support implementation and rollout of the Redzone Manufacturing Execution System (MES). 
Assist with data integration, data validation, and dashboard creation tied to Redzone data streams. 
Help design KPI structures aligned with Lean Manufacturing and Continuous Improvement principles. 
Support real-time data visibility initiatives on the production floor.</div><div>
Data Quality &amp; Optimization: 
Ensure accuracy and consistency of manufacturing data used for reporting. 
Develop tools to validate, clean, and standardize data sources. 
Identify opportunities for automation and process improvement through data analytics.</div><div>
Required Qualifications: 
Current coursework in Computer Science, Data Analytics, Information Systems, or related field (or equivalent experience).</div><div>
Strong experience with Power BI including: 
Data modeling 
Dashboard creation 
Power Query</div><div>
Strong DAX coding skills. 
Proficiency in Python programming for data analysis and automation. 
Experience writing complex SQL queries and working with relational databases. 
Strong analytical and problem-solving skills. 
Ability to translate data into clear operational insights.</div><div>
Preferred Qualifications</div><div>
Experience working with Manufacturing Execution Systems (MES) or production data. 
Familiarity with Redzone productivity systems. 
Experience with Lean Manufacturing, Six Sigma, or Continuous Improvement programs. 
Experience integrating ERP or operational databases with reporting tools. 
Knowledge of data pipeline design and automation workflows.</div><div>
Key Skills: 
Power BI Dashboard Development 
DAX Analytics 
Python Data Automation 
SQL Data Management 
Manufacturing Data Analysis 
Data Visualization &amp; Reporting 
Continuous Improvement Analytics</div><div>
Work Schedule: 
Part-Time (10&ndash;25 hours per week) 
Flexible scheduling available depending on project needs.</div><div>
Impact of the Role : 
This role will directly support data-driven manufacturing operations, helping leadership and production teams gain real-time insights into performance, downtime, efficiency, and continuous improvement opportunities through the Redzone system.</div><div>
Pay: 
$18.95/hour</div><div></div><div>
Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.</div><div></div><div>
The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.</div></div>

Part-Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

LaCroix Precision Optics

<div>
 LaCroix Precision Optics, a manufacturer of precision optical components located in Batesville, Arkansas, is seeking a motivated and detail-oriented individual who is passionate about precision and innovation to join our growing team.
 
 
 At LaCroix Precision Optics, we value quality, teamwork, and continuous improvement. We invite you to explore opportunities with us and become part of a team dedicated to excellence in the optics industry.
 
 
 
 Job Summary
 
 
 
 The Production Data Analyst supports manufacturing operations by developing, maintaining, and analyzing production data, reports, and dashboards. This role works closely with Production, Planning, and Engineering teams to provide accurate, timely visibility into shop performance, capacity, and WIP. The analyst will also assist with production scheduling activities, including creating and closing work orders within the manufacturing system.
 
 
 Essential Duties and Responsibilities: include the following. Other duties may be assigned.
 
 
 
 Production Reporting &amp; Dashboards
 
 
 
 <ul>
 <li>
 Develop, maintain, and enhance production reports and dashboards related to throughput, yield, scrap, WIP, labor, and machine utilization
 </li>
 <li>
 Ensure data accuracy and consistency across reports by validating inputs from ERP systems
 </li>
 <li>
 Automate recurring reports to reduce manual data handling
 </li>
 <li>
 Customize dashboards to support daily production meetings and management reviews
 </li>
 <li>
 Identify trends, bottlenecks, and performance gaps in optical manufacturing processes (grinding, polishing, coating, assembly, etc.)
 
 
 </li>
 </ul>
 
 Data Management &amp; Analysis
 
 
 
 <ul>
 <li>
 Extract, transform, and analyze production data from ERP, MES, and other manufacturing systems
 </li>
 <li>
 Maintain data definitions and documentation for standard production metrics
 </li>
 <li>
 Perform ad-hoc data analysis to support continuous improvement, root cause analysis, and decision-making
 </li>
 <li>
 Collaborate with Engineering and Quality to support yield and process improvement initiatives
 
 
 </li>
 </ul>
 
 Production Scheduling Support
 
 
 
 <ul>
 <li>
 Assist Production Planning with creating, releasing, updating, and closing work orders in the ERP system
 </li>
 <li>
 Verify routing, labor standards, and work center assignments for accuracy
 </li>
 <li>
 Monitor job status and help resolve data or system issues impacting scheduling or reporting
 </li>
 <li>
 Support reconciliation of completed jobs, labor reporting, and material usage
 
 
 </li>
 </ul>
 Qualifications: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Business Analytics, or related field (or equivalent experience)
 </li>
 <li>
 2+ years of experience in a manufacturing or production data role
 </li>
 <li>
 Strong proficiency in Excel (pivot tables, formulas, data validation)
 </li>
 <li>
 Experience building dashboards and reports using BI tools (Power BI, Tableau, or similar)
 </li>
 <li>
 Familiarity with ERP/MES systems and work order/job tracking
 
 
 </li>
 </ul>
 Analytical Skills: A high level of accuracy and attention to detail in data entry and verification with strong ability to consistently notice, process and correct small errors to ensure all information is accurate, consistent, and reliable.
 
 
 Language Skills: Ability to read and interpret documents such as safety rules, operating and maintenance instructions, and procedure manuals. Ability to write routine reports and correspondence. Ability to speak effectively before groups of customers or employees of organization.
 
 
 Mathematical Skills: Ability to calculate figures and amounts such as discounts, proportions, percentages, area, circumference, and volume. Ability to apply concepts of basic algebra and geometry.
 
 
 Reasoning Ability: Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. Ability to deal with problems involving several concrete variables in standardized situations.
 
 
 Computer Skills: In order to perform this job successfully, an individual should have knowledge of Database software; Spreadsheet software and Word Processing software.
 
 
 Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
 
 While performing the duties of this Job, the employee is regularly required to sit and talk or hear. The employee is frequently required to use hands to finger, handle, or feel. The employee is occasionally required to stand; walk and reach with hands and arms. The employee must occasionally lift and/or move up to 30 pounds.
 
 
 Work Environment: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
 
 
 While performing the duties of this Job, the employee is occasionally exposed to moving mechanical parts and fumes or airborne particles. The noise level in the work environment is usually moderate.
 
 
 
 EOE M/F/Disability/Veteran
 
</div>

Production Data Analyst

Salcomp Manufacturing USA

<div>
 Job Summary
 
 
 The Data Analysis Engineer is responsible for collecting, analyzing, and interpreting manufacturing and quality data to support process performance, decision-making, and continuous improvement initiatives. This role ensures data integrity, traceability, and compliance with ISO 9001 requirements, customer expectations, and Salcomp reporting standards. The position works closely with Quality, Engineering, IT, and Operations teams to deliver actionable insights that improve manufacturing performance and product quality.
 
 Key Responsibilities1. Manufacturing &amp; Quality Data Analysis
 
 <ul>
 
 <li>
 Collect, validate, and analyze data from manufacturing processes, quality systems, and production equipment using systems such as SAP, MES, and cloud-based databases.
 </li>
 
 <li>
 Develop and execute SQL queries, scripts, and other data processing tools to extract, transform, and load (ETL) data from multiple sources.
 </li>
 
 <li>
 Perform data analysis to identify trends, patterns, anomalies, and process variation.
 </li>
 
 <li>
 Develop dashboards, reports, and visualizations using tools such as Excel and Power BI.
 </li>
 
 <li>
 Generate and maintain reports for Quality and Engineering metrics including yield, scrap, rework, SPC, downtime, First Pass Yield (FPY), defect trends, customer complaints, and traceability data.
 </li>
 
 <li>
 Use statistical and analytical methods to identify process variability and support root cause analysis.
 </li>
 
 </ul>
 2. ISO 9001 Compliance Support
 
 <ul>
 
 <li>
 Support ISO 9001 Clause 9.1 (Monitoring, Measurement, Analysis, and Evaluation) by ensuring the accuracy and reliability of performance data.
 </li>
 
 <li>
 Ensure data used for operational decision-making is controlled, traceable, and maintained according to documented procedures.
 </li>
 
 <li>
 Provide data analysis support for Management Reviews, internal audits, and external certification audits.
 </li>
 
 </ul>
 3. Continuous Improvement &amp; Problem Solving
 
 <ul>
 
 <li>
 Support continuous improvement initiatives using methodologies such as PDCA and data-driven problem solving.
 </li>
 
 <li>
 Conduct statistical analysis including SPC, capability studies, Pareto analysis, and trend analysis.
 </li>
 
 <li>
 Support root cause investigations related to nonconformities, production issues, and customer complaints.
 </li>
 
 <li>
 Identify opportunities to improve data processes, reporting systems, and analytics workflows.
 
 </li>
 
 <li>
 Optimize database queries, scripts, and system performance to improve efficiency and reliability.
 </li>
 
 </ul>
 4. Reporting &amp; Visualization
 
 <ul>
 
 <li>
 Design and maintain automated dashboards and reports using approved tools such as Excel, SQL, and Power BI.
 </li>
 
 <li>
 Translate complex datasets into clear, actionable insights for engineering, quality, and operations teams.
 </li>
 
 <li>
 Standardize reporting formats to ensure consistency across manufacturing lines and production shifts.
 </li>
 
 </ul>
 5. Data Integrity &amp; Systems Support
 
 <ul>
 
 <li>
 Ensure accuracy, consistency, and completeness of manufacturing and quality data.
 </li>
 
 <li>
 Support data governance practices including access control, version control, and change management.
 </li>
 
 <li>
 Collaborate with IT and Engineering teams to support data extraction, system integration, and process automation.
 </li>
 
 </ul>
 6. Cross-Functional Collaboration
 
 <ul>
 
 <li>
 Work closely with Quality, Engineering, IT, and Operations teams to support data-driven decision-making.
 </li>
 
 <li>
 Support customer data requests and performance reporting requirements as directed by the Quality Manager.
 </li>
 
 <li>
 Provide guidance or training to stakeholders on interpreting data dashboards and reports.
 </li>
 
 </ul>
 Required Qualifications
 
 <ul>
 
 <li>
 Bachelor&rsquo;s degree in Engineering, Industrial Engineering, Data Analytics, Statistics, or a related field (or equivalent experience).
 </li>
 
 <li>
 Minimum of
 
 3&ndash;5 years of experience in data analysis within a manufacturing or industrial environment
 
 .
 </li>
 
 <li>
 Experience supporting data analysis in an ISO 9001 certified manufacturing environment.
 </li>
 
 <li>
 Proficiency in data analysis tools such as
 
 Excel, SQL, Power BI, or similar analytics platforms
 
 .
 </li>
 
 <li>
 Knowledge of statistical methods including
 
 SPC, capability analysis, and trend analysis
 
 .
 </li>
 
 </ul>
 Preferred Qualifications
 
 <ul>
 
 <li>
 Certified Data Engineer or similar data engineering certification.
 </li>
 
 <li>
 Microsoft Power BI Data Analyst certification.
 </li>
 
 <li>
 Experience with manufacturing systems such as
 
 SAP or MES
 
 .
 </li>
 
 <li>
 Familiarity with statistical analysis tools and database management systems.
 </li>
 
 </ul>
 Key Competencies
 
 <ul>
 
 <li>
 Demonstrates strong process discipline and ensures accuracy and consistency in quality and engineering activities.
 </li>
 
 <li>
 Ability to analyze technical data, identify root causes, and implement effective corrective actions.
 </li>
 
 <li>
 Ability to work effectively with production, engineering, supply chain, and quality teams to achieve operational objectives.
 </li>
 
 <li>
 Strong verbal and written communication skills with the ability to clearly present technical information.
 </li>
 
 <li>
 Supports initiatives that improve product quality, manufacturing efficiency, and operational performance.
 </li>
 
 </ul>
 Work Environment and Physical Requirements
 
 
 Work may be performed in both office and manufacturing environments. The position may require extended periods of sitting, standing, or walking on the production floor. The use of Personal Protective Equipment (PPE) may be required when entering production areas.
 
 Disclaimer
 
 
 The above statements are intended to describe the general nature and level of work performed by employees assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and qualifications associated with the job.
 
 
 
 Salcomp Manufacturing USA Corp. is an Equal Opportunity Employer. The Company provides equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, veteran status, or any other protected status under applicable law.
 
</div>

Data Analysis Engineer

AERZEN USA

<div>
 Job Type
 
 
 Full-time
 
 
 
 Description
 
 
 
 This position is an on-site only position located in Coatesville, PA. No Telework or Remote.
 
 
 
 Who We Are
 
 
 
 Aerzen USA Corp. is an international manufacturer of positive displacement blowers, hybrid blowers, screw compressors and turbo blowers. These high-quality machines are used for air and gas applications across many essential industries, including: Wastewater, Cement, Biogas, Pharmaceutical and Food, among many others. We are One Team, and we Empower our team members to be both Inquisitive and Evolutionary.
 
 
 
 What We Offer
 
 
 
 Aerzen USA Corp. offers a competitive salary; generous health benefits (to include 96% company-paid benefit plans) with company HSA contribution; a 401(k) with company match; a tuition reimbursement program; and a profit share bonus package; along with the opportunity to work with a dynamic group of professionals.
 
 
 
 What You Will Do
 
 
 
 We are seeking a detail oriented Entry-Level Data Analyst to support data quality, reporting, and process improvement across our global manufacturing organization. This role plays a critical part in ensuring that data used by teams across multiple countries is accurate, consistent, and reliable.
 
 
 The Data Analyst will work closely with process owners, operational leaders, and technical resources to identify data issues, understand their root causes, and support corrective and preventive measures. In addition, the role contributes to reporting and dashboard development, helping to deliver insights and tools that serve team members across various time zones, languages, and functional areas.
 
 
 This position is ideal for someone who enjoys investigating data problems, improving workflows, and learning how analytics supports large-scale business operations.
 
 
 
 Key Responsibilities
 
 
 
 Data Quality &amp; Cleanup
 
 
 <ul>
 <li>
 Identify, review, and resolve data issues across core systems such as Business Central, Salesforce, SQL databases, and Excel.
 </li>
 <li>
 Analyze incorrect, incomplete, or inconsistent data to determine the underlying causes of errors.
 </li>
 <li>
 Work directly with process leads from Operations, Sales, Purchasing, finance, and other departments to address root causes and align corrective actions.
 </li>
 <li>
 Collaborate with technical teams to correct faulty entries, implement cleanup procedures, and help prevent recurring issues.
 </li>
 <li>
 Document cleanup steps, findings, and recommendations in a clear, repeatable manner.
 </li>
 <li>
 Participate in ongoing data validation and audit checks to maintain long-term data integrity
 
 
 </li>
 </ul>
 Process &amp; Workflow Improvement
 
 
 <ul>
 <li>
 Provide input on improving data-entry workflows and operational processes based on patterns seen during cleanup activities.
 </li>
 <li>
 Assist in developing or refining standard operating procedures (SOPs) related to data management.
 </li>
 <li>
 Help standardize data naming conventions, definitions, and structures across multiple global teams and languages.
 </li>
 <li>
 Support initiatives that promote consistent data usage and high-quality data practices across the organization.
 
 
 </li>
 </ul>
 Reporting &amp; Analysis
 
 
 <ul>
 <li>
 Update, modify, and maintain existing Power BI dashboards and reports to support user requests and business requirements.
 </li>
 <li>
 Ensure all reporting outputs reflect validated, accurate, and high-integrity data.
 </li>
 <li>
 Assist with basic analysis of manufacturing, supply chain, sales, and finance data to help answer operational questions.
 </li>
 <li>
 Create and work with pre-built tools and templates to generate effective reporting solutions for team members across multiple time zones and countries.
 </li>
 <li>
 Contribute to the development of new visualizations, metrics, or reporting features under the direction of the Team Lead.
 
 
 </li>
 </ul>
 Collaboration &amp; Communication
 
 
 <ul>
 <li>
 Work with team-members across different countries and cultural backgrounds, including English, German, and Spanish-speaking teams.
 </li>
 <li>
 Translate technical data issues into clear explanations for non-technical users.
 </li>
 <li>
 Communicate findings, risks, and recommendations in an organized and professional manner.
 </li>
 <li>
 Work closely with the Team Lead, who assigns and prioritizes tasks and provides support as needed.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Required Qualifications:
 
 
 
 Bachelor&rsquo;s degree in Data Analytics, Information Systems, Business, Statistics, or a related field (or equivalent practical experience).
 
 
 Strong attention to detail and a natural curiosity for understanding how &amp; why data issues occur.
 
 
 Basic working knowledge of Excel, SQL, Power Query, or business intelligence tools such as Power BI.
 
 
 Ability to communicate effectively across cultures &amp; collaborate with multilingual teams.
 
 
 Strong analytical thinking with the ability to learn new systems quickly.
 
 
 Creative and flexible when dealing with different varieties of projects and problems.
 
 
 Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
 
 
 Ability to travel up to 15% of the time as needed.
 
 
 
 Preferred Qualifications
 
 
 
 Hands-on exposure to manufacturing data, supply chain processes, or ERP/CRM environments (Business Central preferred).
 
 
 Experience supporting or communicating with global and multilingual teams.
 
 
 Basic familiarity with DAX, MCode, data modeling, Excel, or ETL concepts.
 
 
 Understanding of data governance or data integrity best practices.
 
 
 
 Key Competencies
 
 
 
 Detail-Oriented: Able to spot inconsistencies, inaccuracies &amp; patterns in datasets.
 
 
 Analytical Mindset: Interested in investigating and solving data quality issues.
 
 
 Clear Communicator: Able to explain findings to both technical and non-technical users.
 
 
 Collaborative: Works well with diverse teams and takes direction from leadership.
 
 
 Growth-Oriented: Eager to learn new tools, techniques, and analytic skills.
 
 
 Creativity: Able to utilize and apply creative practices to assist the users and create new solutions.
 
 
 Aerzen USA was founded in 1983 and is a wholly owned subsidiary of Aerzener Maschinenfabrik GmbH, a recognized world leader in the production of rotary positive displacement machines since 1868. Aerzen USA is headquartered in Coatesville, PA, with multiple offices and service centers throughout the United States. Aerzen USA designs and manufactures positive displacement blowers, hybrid blowers, screw compressors, and high-speed turbo blowers with installations around the world. The company specializes in wastewater treatment aeration, pneumatic conveying of bulk materials, and process gas conveying with high-efficiency equipment and world-class product service and support.
 
 
 For more information visit our website at: www.aerzen.com
 
 
 Aerzen USA Corp is an equal opportunity employer and selects employees on the basis of skills and experience. Aerzen USA ensures that all persons are entitled to equal employment opportunity without regard to race, color, gender, gender identity, sexual orientation, pregnancy, age, national origin, religion, marital status, ancestry, disability, veteran&rsquo;s status, and any other characteristic protected under applicable federal, state, or local laws. All employment decisions and actions are based on merit and made without regard to any characteristic protected by state, federal or local law.
 
 
 All offers of employment at Aerzen USA Corp are contingent upon clear results of a thorough background check. In compliance with the Drug-Free Workplace Act of 1988, Aerzen USA Corp has a longstanding commitment to provide a safe, quality-oriented, and productive work environment. Alcohol and drug misuse poses a threat to the health and safety of Aerzen employees and to the security of the company's equipment and facilities. For these reasons, Aerzen USA Corp is committed to the elimination of drug and alcohol use and misuse in the workplace. Applicants being considered for hire must pass a drug test before beginning work. Refusal to submit to testing will result in disqualification of further employment consideration.
 
 
 This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including termination of employment. Employers can only use E-Verify once you have accepted a job offer and completed the Form I-9.
</div>

Yummy Milk Products (Pvt) Ltd

Requirements : <ul><li>Bachelor&rsquo;s degree minimum</li><li>2-3 years prior experience in an FMCG</li><li>Strong data analytical skills, and structured problem solving ability</li><li>Advanced Proficiency in Excel and reporting tools</li><li>Ability to coordinate cross-functionally across Engineering, QA, Procurement and Production</li><li>Strong written and verbal communication skills</li><li>Understanding of regulatory compliance and documentation standards</li></ul>Role Overview We are seeking a disciplined and data-driven individual to support structured operational control within our manufacturing facility.This role is focused on performance visibility, documentation integrity, and cross-departmental follow-up. The selected candidate will work directly with senior management to build stronger operational systems and reporting discipline across the plant.This is a growth-track role designed for individuals who want long-term exposure to manufacturing leadership.Key responsibilities :<ul><li>Track daily production performance and audit metrics</li><li>Maintain department-wise follow-up logs and accountability trackers</li><li>Monitor procurement cycle timelines and identify delays</li><li>Support QA and compliance documentation processes</li><li>Prepare structured weekly operational performance reports</li></ul>Pay: Rs50,000.00 - Rs80,000.00 per monthWork Location: In person

Trainee Operations Manager

Eetho Brands - Dose Daily

Manufacturing Operations AnalystOverviewThe Operations Analyst turns production and warehouse data into decision ready insights for Operations and Finance. The role plans work against demand, monitors inventory, and analyzes standard versus actual costs to explain variances and support forecasts. It supports month end close for labor, overhead, WIP, freight, and duties while enforcing cost and inventory controls and keeping BOMs accurate. It also defines and tracks KPIs with the Operations lead and spends time on the floor to validate data.Manufacturing Operation Analyst Key Responsibilities:<ul><li>Compile all data (new and old) of the warehouse operation into one simple form, understandable to operation team and Finance team</li><li>Plan warehouse work operations in accordance with Demand, shipping, receiving, and stock rotation requirements.</li><li>Analyze and report production costs at standard and actual and provide explanations as products move through the process</li><li>Analyze and report process efficiency, production variances including price variance</li><li>Assist with developing daily, weekly and monthly forecasts for the warehouse operation</li><li>Complete monthly closing activities related to manufacturing costs, Labor and Overhead absorption, Work-In-Process inventory, freight and duties ensure timeliness and accuracy of closing procedures, using data available</li><li>Ensure process integrity within Cost/Inventory and work with team members to resolve process issues</li><li>Using the data ensures strict compliance with relevant financial policies and procedures within the section, including the inventory and engineering store stock checks</li><li>Assist Finance Manager, Operations and Plant Manager with the monthly close activity, including, but not limited, to financial report preparation, corporate reporting, and manufacturing variances</li><li>Inventory level analysis</li><li>Analyze and review bills of material to ensure accurate product cost</li><li>Assist in budget and forecasting for operations</li><li>Define, Understand and analyze manufacturing KPI along with Operation head</li><li>Will be required to stand for at least an hour in the manufacturing process to observe and analyze</li></ul>Manufacturing Operations Analyst Qualifications:<ul><li>Degree in engineering preferably Mechanical, Business Analytics or related field, along with good data management and analysis experience preferred.</li><li>2 years&rsquo; experience in manufacturing operation analyst role</li><li>Understanding of warehouse operation, Product costing, manufacturing KPI and manufacturing overheads.</li><li>Desirable &ndash; Experience in Manufacturing Accounting and Financial acumen</li></ul>What we offer<ul><li>Unlimited PTO</li><li>Medical, dental, and vision insurance</li><li>401(k) with company match</li></ul>Job Type: Full-timePay: $53,000.00 - $59,000.00 per yearBenefits:<ul><li>401(k)</li><li>401(k) matching</li><li>Dental insurance</li><li>Employee discount</li><li>Health insurance</li><li>Paid time off</li><li>Vision insurance</li></ul>Experience:<ul><li>Pharmaceuticals ERP: 2 years (Required)</li><li>Data analytics: 2 years (Required)</li></ul>Ability to Commute:<ul><li>Clearwater, FL 33760 (Required)</li></ul>Work Location: In person

Operations Analyst- 2 years of Manufacturing Exp Req

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Operations Analyst- 2 years of Manufacturing Exp Req