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:
- Data Engineering & Automation:
- 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.
- 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.
- Architect and implement robust data reporting frameworks ensuring data integrity and creating a single source of truth for key plant metrics.
- Advanced Analytics & Visualization:
- 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.
- Perform comprehensive variance trend and ratio analysis to support FP&A reviews providing clear commentary on deviations from budget and forecast.
- Write and optimize complex SQL queries to support deep-dive analytics into inventory expenses and operational performance.
- Inventory & Cost Controlling:
- Conduct in-depth analysis of inventory levels turnover and aging to identify slow-moving and obsolete (SLOB) risks and opportunities for optimization.
- Support and enhance the physical inventory and cycle counting programs by automating data preparation discrepancy analysis and results reporting.
- Analyze manufacturing cost variances (material labor overhead) to identify root causes and partner with operations to develop corrective action plans.
- Predictive Modeling & Process Improvement:
- (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.
- Act as a subject matter expert on data tools and methodologies training junior team members and promoting a data-driven culture within the plant.
- Continuously identify and implement process improvements by leveraging technology to enhance the capabilities and efficiency of the controlling function.
Qualifications :
- Bachelors degree in Data Science Analytics Information Systems Business Finance or a related quantitative field. Masters degree is a strong plus.
- 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.
- Proven hands-on experience with an ERP system with a strong preference for SAP (FI/CO modules).
- Advanced proficiency in Microsoft Excel particularly Power Query for ETL and data modeling.
- Demonstrated experience building automated workflows and ETL pipelines using tools like Alteryx Python (Pandas) or similar.
- Expertise in data visualization and creating executive-level dashboards using Power BI or Tableau.
Additional Information :
Desired Qualifications:
- Strong proficiency in writing and optimizing SQL for data extraction and analysis from relational databases.
- Proficiency in a scripting language like Python or R for data analysis and statistical modeling (e.g. Scikit-learn Statsmodels).
- Experience in a manufacturing supply chain or financial controlling environment.
- Solid understanding of cost accounting and inventory management principles.
- Exceptional problem-solving skills with the ability to translate complex business questions into a clear analytical framework and actionable insights.
- Excellent communication skills with the proven ability to present complex data and technical concepts to senior leadership and non-technical stakeholders
Equal Opportunity Employer including disability / veterans
*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.
Remote Work :
No
Employment Type :
Full-time
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 pipeline...
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:
- Data Engineering & Automation:
- 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.
- 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.
- Architect and implement robust data reporting frameworks ensuring data integrity and creating a single source of truth for key plant metrics.
- Advanced Analytics & Visualization:
- 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.
- Perform comprehensive variance trend and ratio analysis to support FP&A reviews providing clear commentary on deviations from budget and forecast.
- Write and optimize complex SQL queries to support deep-dive analytics into inventory expenses and operational performance.
- Inventory & Cost Controlling:
- Conduct in-depth analysis of inventory levels turnover and aging to identify slow-moving and obsolete (SLOB) risks and opportunities for optimization.
- Support and enhance the physical inventory and cycle counting programs by automating data preparation discrepancy analysis and results reporting.
- Analyze manufacturing cost variances (material labor overhead) to identify root causes and partner with operations to develop corrective action plans.
- Predictive Modeling & Process Improvement:
- (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.
- Act as a subject matter expert on data tools and methodologies training junior team members and promoting a data-driven culture within the plant.
- Continuously identify and implement process improvements by leveraging technology to enhance the capabilities and efficiency of the controlling function.
Qualifications :
- Bachelors degree in Data Science Analytics Information Systems Business Finance or a related quantitative field. Masters degree is a strong plus.
- 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.
- Proven hands-on experience with an ERP system with a strong preference for SAP (FI/CO modules).
- Advanced proficiency in Microsoft Excel particularly Power Query for ETL and data modeling.
- Demonstrated experience building automated workflows and ETL pipelines using tools like Alteryx Python (Pandas) or similar.
- Expertise in data visualization and creating executive-level dashboards using Power BI or Tableau.
Additional Information :
Desired Qualifications:
- Strong proficiency in writing and optimizing SQL for data extraction and analysis from relational databases.
- Proficiency in a scripting language like Python or R for data analysis and statistical modeling (e.g. Scikit-learn Statsmodels).
- Experience in a manufacturing supply chain or financial controlling environment.
- Solid understanding of cost accounting and inventory management principles.
- Exceptional problem-solving skills with the ability to translate complex business questions into a clear analytical framework and actionable insights.
- Excellent communication skills with the proven ability to present complex data and technical concepts to senior leadership and non-technical stakeholders
Equal Opportunity Employer including disability / veterans
*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.
Remote Work :
No
Employment Type :
Full-time
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