KEY PROJECTS & DELIVERABLES

• Rollout of the annual operating budget model.
• Development of automated forecasting models using historical and operational data.
• Implementation of BI dashboards and performance reporting for plant operations.
• Deep-dive ROI analysis on capital projects and commercial initiatives.

REQUIRED QUALIFICATIONS

• Bachelor’s degree in Finance, Data Analytics, Accounting, Economics, or a related field.
• 4–6 years of experience in financial analysis, FP&A, or data analytics — preferably in manufacturing, CPG, or food & beverage industries.
• Proficiency in SQL for data extraction, analysis, and reporting.
• Proven experience in data mining and transforming raw data into actionable insights.
• Strong financial acumen and familiarity with financial statements and cost structures.
• Advanced Excel modeling skills.
• Experience with ERP systems (e.g., NetSuite, SAP, Oracle).
• Familiarity with Power BI, Tableau, or other data visualization tools.
• Excellent communication skills and attention to detail.

PREFERRED QUALIFICATIONS

• MBA, CPA, CMA, or advanced analytics certification.
• Experience in mid-sized or high-growth companies.
• Exposure to operations finance, supply chain analytics, or plant-based reporting.

ABOUT THE ROLE

We are seeking a highly analytical and technically skilled Financial Data Analyst to join our finance team at our manufacturing plant. This role is focused on extracting, transforming, and analyzing large datasets to produce automated, high-impact reporting that drives financial and operational decision-making.
You’ll work hands-on with SQL, BI tools, and financial data to support monthly reporting cycles, budgeting, forecasting, and strategic initiatives. This is a high-visibility, on-site role in a fast-paced manufacturing environment — perfect for someone who thrives on solving problems with data.

KEY RESPONSIBILITIES

• Develop and maintain SQL-based reports and queries to support monthly financial and operational reporting.
• Mine and analyze data from multiple systems (ERP, BI, production systems) to identify trends and support decision-making.
• Build and automate dashboards for KPIs and financial performance using tools such as Power BI or Tableau.
• Collaborate with Finance, Operations, and Supply Chain teams to deliver insights that support budgeting, forecasting, and cost analysis.
• Conduct ad hoc financial analysis related to capital investments, trade spend, and strategic projects (e.g., sustainability, capacity expansions).
• Improve and streamline data pipelines for faster and more accurate reporting.