Data Analyst at Bosch Group

Fort Lauderdale, Florida, United States -

Full Time

Start Date

Immediate

Expiry Date

17 Jun, 26

Salary

0.0

Posted On

19 Mar, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Etl, Alteryx, Power Query, Python, Sap, Vba, Power Bi, Tableau, Sql, Data Modeling, Forecasting, Cost Accounting, Inventory Optimization, Data Analysis, Automation, Data Engineering

Industry

Software Development

Description

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: 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 Qualifications: Basic Qualifications: Bachelor’s degree in Data Science, Analytics, Information Systems, Business, Finance, or a related quantitative field. Master's 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. Legal Entity: FHP Manufacturing Company

Responsibilities

The Data Analyst will be responsible for designing, building, and maintaining automated ETL pipelines using tools like Alteryx, Power Query, or Python to consolidate data from SAP and other systems. They will also develop interactive dashboards in Power BI or Tableau to visualize KPIs and perform advanced variance and ratio analysis to support financial reviews.