Financial Analyst, Procurement Finance
for section headings. Use - for any list of duties/requirements/benefits. Use
for prose.
We must not repeat job title as heading (not given). No Job ID.
We need to preserve all substantive information.
Let's extract sections:
About the role: The first paragraph(s) describing role: "Reporting to the Supply Chain Finance Manager, this role serves as a financial analyst and technical resource within the Economic Research team, performing moderately complex research and analysis under limited supervision. The position supports economic and commodity research through data analysis, forecasting, reporting automation, dashboard development, and technical tool creation. Responsibilities include maintaining and enhancing economic data models, recurring reports, and analytical processes used to evaluate market trends, cost drivers, risks, and opportunities impacting the business. The role partners with Finance, Procurement, Supply Chain, IT, and other business stakeholders to translate complex data and economic indicators into accurate, scalable, and actionable insights. Additionally, the position supports business partnering, Annual Operating Plan (AOP) development, strategic planning, monthly forecasting, reporting, period close activities, and the identification and investigation of issues related to assigned projects, presenting analysis and recommendations to management as needed."
That's prose. Could be About the role.
Responsibilities: The "A Taste of Your Responsibilities" bullet list. Let's extract each bullet:
- Monitor and analyze economic indicators, commodity markets, supplier cost drivers, and industry trends to support financial planning, forecasting, sourcing decisions, and strategic business recommendations.
- Serve as a technical resource for the Economic Research team by developing, maintaining, and improving data models, reporting tools, dashboards, templates, and automated processes.
- Compile, validate, transform, and reconcile data from internal systems and external market sources; ensure data is accurate, standardized, well-documented, and fit for recurring analysis.
- Build and maintain scalable reporting solutions using tools such as Excel, Power Query, Power BI, SAP extracts, Bloomberg, and other internal or external data platforms.
- Develop financial models, commodity trackers, dashboards, and recurring reports that explain current market conditions, historical trends, forecast assumptions, and potential business impacts.
- Support AOP, strategic plan, and monthly forecast processes by providing economic assumptions, commodity outlooks, inflation/deflation analysis, sensitivity analysis, and risk commentary.
- Partner with Finance, Procurement, Supply Chain, IT, and category teams to improve data flows, troubleshoot reporting issues, automate manual processes, and strengthen analytical capabilities.
- Prepare clear, concise analysis and presentations for leadership, including commentary on key market movements, cost pressures, forecast changes, data limitations, and recommended actions.
- Investigate unusual data movements, pricing discrepancies, source inconsistencies, or changes in market assumptions and provide fact-based explanations and recommendations.
- Establish and maintain documentation for data sources, calculations, methodologies, reporting logic, refresh processes, and recurring deliverables.
- Participate in cross-functional projects related to economic research, commodity reporting, budgeting, forecasting, sourcing analytics, system improvements, and business performance analysis.
- Provide ad hoc financial, commodity, technical reporting, and economic analysis as business needs evolve.
We'll put these in
- .
Requirements/Qualifications/Skills: The "Ingredients Required for Your Success" includes education, experience, skills. Could split into Requirements (education + experience) and Skills (technical). But we can combine into Requirements section with list.
Let's extract:
- Bachelor’s degree in Finance, Economics, Accounting, Business Analytics, Information Systems, Data Analytics, or related field required.
- 3+ years of professional experience in financial analysis, FP&A, economic research, commodity analysis, procurement finance, business intelligence, data analytics, or technical reporting.
- Strong analytical and technical skills with the ability to work with large data sets, identify trends, troubleshoot data issues, explain variances, and translate findings into business insights.
- Experience with forecasting, budgeting, market analysis, financial modeling, performance reporting, dashboard development, and recurring report automation.
- Advanced proficiency in Microsoft Excel, including complex formulas, data modeling, Power Query, and structured reporting processes.
- Experience with Power BI, SAP, Bloomberg, SQL, Right Angle, or other data visualization, database, automation, or reporting tools preferred.
- Demonstrated ability to research external market data sources, evaluate data quality, document assumptions, and clearly communicate risks, limitations, and methodology.
- Ability to design repeatable, scalable reporting solutions and improve manual processes through automation, standardization, and strong data governance practices.
- Strong written and verbal communication skills with the ability to present complex economic, financial, and technical information in a clear, concise, and actionable manner.
- Ability to work independently in a fast-paced environment, manage ambiguity, prioritize competing requests, and partner effectively with Finance, IT, Procurement, Supply Chain, and business stakeholders.
We could separate into Requirements (education + experience) and Skills (the rest). But the instruction: prefer a few substantive sections over many thin ones. Could combine into one "Requirements" section containing all. However we also have Benefits, Pay, Schedule sections.
We have Schedule: "Number of Days in Office: 3". That's specific. So we need a Schedule section with that info.
Pay: "Compensation Pay Range:$64,000-$95,000 The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees."
We need to include Pay section with that content. Should we include the explanation? Yes, preserve all substantive information. So we can put that as prose in
.
Benefits: "Our Benefits We care about your total well-being and will support you with the following, subject to your location and role: Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursementWealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase planGrowth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursementBalance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities"
We need to parse into list items. The text seems concatenated without spaces after colons. We need to extract items:
Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities
We can make each as
- with the description.
We should also maybe include a brief intro sentence as
before list.
Now we need to output HTML fragment only, no /. Use
headings.
Order: About the role, Responsibilities, Requirements, Benefits, Pay, Schedule (maybe). Ensure we only include sections with real content.
Let's craft:
About the role
Reporting to the Supply Chain Finance Manager, this role serves as a financial analyst and technical resource within the Economic Research team, performing moderately complex research and analysis under limited supervision. The position supports economic and commodity research through data analysis, forecasting, reporting automation, dashboard development, and technical tool creation. Responsibilities include maintaining and enhancing economic data models, recurring reports, and analytical processes used to evaluate market trends, cost drivers, risks, and opportunities impacting the business. The role partners with Finance, Procurement, Supply Chain, IT, and other business stakeholders to translate complex data and economic indicators into accurate, scalable, and actionable insights. Additionally, the position supports business partnering, Annual Operating Plan (AOP) development, strategic planning, monthly forecasting, reporting, period close activities, and the identification and investigation of issues related to assigned projects, presenting analysis and recommendations to management as needed.
Responsibilities
- Monitor and analyze economic indicators, commodity markets, supplier cost drivers, and industry trends to support financial planning, forecasting, sourcing decisions, and strategic business recommendations.
- Serve as a technical resource for the Economic Research team by developing, maintaining, and improving data models, reporting tools, dashboards, templates, and automated processes.
- Compile, validate, transform, and reconcile data from internal systems and external market sources; ensure data is accurate, standardized, well-documented, and fit for recurring analysis.
- Build and maintain scalable reporting solutions using tools such as Excel, Power Query, Power BI, SAP extracts, Bloomberg, and other internal or external data platforms.
- Develop financial models, commodity trackers, dashboards, and recurring reports that explain current market conditions, historical trends, forecast assumptions, and potential business impacts.
- Support AOP, strategic plan, and monthly forecast processes by providing economic assumptions, commodity outlooks, inflation/deflation analysis, sensitivity analysis, and risk commentary.
- Partner with Finance, Procurement, Supply Chain, IT, and category teams to improve data flows, troubleshoot reporting issues, automate manual processes, and strengthen analytical capabilities.
- Prepare clear, concise analysis and presentations for leadership, including commentary on key market movements, cost pressures, forecast changes, data limitations, and recommended actions.
- Investigate unusual data movements, pricing discrepancies, source inconsistencies, or changes in market assumptions and provide fact-based explanations and recommendations.
- Establish and maintain documentation for data sources, calculations, methodologies, reporting logic, refresh processes, and recurring deliverables.
- Participate in cross-functional projects related to economic research, commodity reporting, budgeting, forecasting, sourcing analytics, system improvements, and business performance analysis.
- Provide ad hoc financial, commodity, technical reporting, and economic analysis as business needs evolve.
Requirements
- Bachelor’s degree in Finance, Economics, Accounting, Business Analytics, Information Systems, Data Analytics, or related field required.
- 3+ years of professional experience in financial analysis, FP&A, economic research, commodity analysis, procurement finance, business intelligence, data analytics, or technical reporting.
- Strong analytical and technical skills with the ability to work with large data sets, identify trends, troubleshoot data issues, explain variances, and translate findings into business insights.
- Experience with forecasting, budgeting, market analysis, financial modeling, performance reporting, dashboard development, and recurring report automation.
- Advanced proficiency in Microsoft Excel, including complex formulas, data modeling, Power Query, and structured reporting processes.
- Experience with Power BI, SAP, Bloomberg, SQL, Right Angle, or other data visualization, database, automation, or reporting tools preferred.
- Demonstrated ability to research external market data sources, evaluate data quality, document assumptions, and clearly communicate risks, limitations, and methodology.
- Ability to design repeatable, scalable reporting solutions and improve manual processes through automation, standardization, and strong data governance practices.
- Strong written and verbal communication skills with
for prose. We must not repeat job title as heading (not given). No Job ID. We need to preserve all substantive information. Let's extract sections: About the role: The first paragraph(s) describing role: "Reporting to the Supply Chain Finance Manager, this role serves as a financial analyst and technical resource within the Economic Research team, performing moderately complex research and analysis under limited supervision. The position supports economic and commodity research through data analysis, forecasting, reporting automation, dashboard development, and technical tool creation. Responsibilities include maintaining and enhancing economic data models, recurring reports, and analytical processes used to evaluate market trends, cost drivers, risks, and opportunities impacting the business. The role partners with Finance, Procurement, Supply Chain, IT, and other business stakeholders to translate complex data and economic indicators into accurate, scalable, and actionable insights. Additionally, the position supports business partnering, Annual Operating Plan (AOP) development, strategic planning, monthly forecasting, reporting, period close activities, and the identification and investigation of issues related to assigned projects, presenting analysis and recommendations to management as needed." That's prose. Could be About the role. Responsibilities: The "A Taste of Your Responsibilities" bullet list. Let's extract each bullet: - Monitor and analyze economic indicators, commodity markets, supplier cost drivers, and industry trends to support financial planning, forecasting, sourcing decisions, and strategic business recommendations. - Serve as a technical resource for the Economic Research team by developing, maintaining, and improving data models, reporting tools, dashboards, templates, and automated processes. - Compile, validate, transform, and reconcile data from internal systems and external market sources; ensure data is accurate, standardized, well-documented, and fit for recurring analysis. - Build and maintain scalable reporting solutions using tools such as Excel, Power Query, Power BI, SAP extracts, Bloomberg, and other internal or external data platforms. - Develop financial models, commodity trackers, dashboards, and recurring reports that explain current market conditions, historical trends, forecast assumptions, and potential business impacts. - Support AOP, strategic plan, and monthly forecast processes by providing economic assumptions, commodity outlooks, inflation/deflation analysis, sensitivity analysis, and risk commentary. - Partner with Finance, Procurement, Supply Chain, IT, and category teams to improve data flows, troubleshoot reporting issues, automate manual processes, and strengthen analytical capabilities. - Prepare clear, concise analysis and presentations for leadership, including commentary on key market movements, cost pressures, forecast changes, data limitations, and recommended actions. - Investigate unusual data movements, pricing discrepancies, source inconsistencies, or changes in market assumptions and provide fact-based explanations and recommendations. - Establish and maintain documentation for data sources, calculations, methodologies, reporting logic, refresh processes, and recurring deliverables. - Participate in cross-functional projects related to economic research, commodity reporting, budgeting, forecasting, sourcing analytics, system improvements, and business performance analysis. - Provide ad hoc financial, commodity, technical reporting, and economic analysis as business needs evolve. We'll put these in
- .
Requirements/Qualifications/Skills: The "Ingredients Required for Your Success" includes education, experience, skills. Could split into Requirements (education + experience) and Skills (technical). But we can combine into Requirements section with list.
Let's extract:
- Bachelor’s degree in Finance, Economics, Accounting, Business Analytics, Information Systems, Data Analytics, or related field required.
- 3+ years of professional experience in financial analysis, FP&A, economic research, commodity analysis, procurement finance, business intelligence, data analytics, or technical reporting.
- Strong analytical and technical skills with the ability to work with large data sets, identify trends, troubleshoot data issues, explain variances, and translate findings into business insights.
- Experience with forecasting, budgeting, market analysis, financial modeling, performance reporting, dashboard development, and recurring report automation.
- Advanced proficiency in Microsoft Excel, including complex formulas, data modeling, Power Query, and structured reporting processes.
- Experience with Power BI, SAP, Bloomberg, SQL, Right Angle, or other data visualization, database, automation, or reporting tools preferred.
- Demonstrated ability to research external market data sources, evaluate data quality, document assumptions, and clearly communicate risks, limitations, and methodology.
- Ability to design repeatable, scalable reporting solutions and improve manual processes through automation, standardization, and strong data governance practices.
- Strong written and verbal communication skills with the ability to present complex economic, financial, and technical information in a clear, concise, and actionable manner.
- Ability to work independently in a fast-paced environment, manage ambiguity, prioritize competing requests, and partner effectively with Finance, IT, Procurement, Supply Chain, and business stakeholders.
We could separate into Requirements (education + experience) and Skills (the rest). But the instruction: prefer a few substantive sections over many thin ones. Could combine into one "Requirements" section containing all. However we also have Benefits, Pay, Schedule sections.
We have Schedule: "Number of Days in Office: 3". That's specific. So we need a Schedule section with that info.
Pay: "Compensation Pay Range:$64,000-$95,000 The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees."
We need to include Pay section with that content. Should we include the explanation? Yes, preserve all substantive information. So we can put that as prose in
. Benefits: "Our Benefits We care about your total well-being and will support you with the following, subject to your location and role: Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursementWealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase planGrowth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursementBalance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities" We need to parse into list items. The text seems concatenated without spaces after colons. We need to extract items: Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement Wealth: Great pay, bonus incentive opportunity, matching 401(k) and stock purchase plan Growth: Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement Balance: Paid-time off, parental leave, flexible work-schedules (subject to your location and role) and volunteer opportunities We can make each as
- with the description.
We should also maybe include a brief intro sentence as
before list. Now we need to output HTML fragment only, no /. Use
headings. Order: About the role, Responsibilities, Requirements, Benefits, Pay, Schedule (maybe). Ensure we only include sections with real content. Let's craft:
About the role
Reporting to the Supply Chain Finance Manager, this role serves as a financial analyst and technical resource within the Economic Research team, performing moderately complex research and analysis under limited supervision. The position supports economic and commodity research through data analysis, forecasting, reporting automation, dashboard development, and technical tool creation. Responsibilities include maintaining and enhancing economic data models, recurring reports, and analytical processes used to evaluate market trends, cost drivers, risks, and opportunities impacting the business. The role partners with Finance, Procurement, Supply Chain, IT, and other business stakeholders to translate complex data and economic indicators into accurate, scalable, and actionable insights. Additionally, the position supports business partnering, Annual Operating Plan (AOP) development, strategic planning, monthly forecasting, reporting, period close activities, and the identification and investigation of issues related to assigned projects, presenting analysis and recommendations to management as needed.
Responsibilities
- Monitor and analyze economic indicators, commodity markets, supplier cost drivers, and industry trends to support financial planning, forecasting, sourcing decisions, and strategic business recommendations.
- Serve as a technical resource for the Economic Research team by developing, maintaining, and improving data models, reporting tools, dashboards, templates, and automated processes.
- Compile, validate, transform, and reconcile data from internal systems and external market sources; ensure data is accurate, standardized, well-documented, and fit for recurring analysis.
- Build and maintain scalable reporting solutions using tools such as Excel, Power Query, Power BI, SAP extracts, Bloomberg, and other internal or external data platforms.
- Develop financial models, commodity trackers, dashboards, and recurring reports that explain current market conditions, historical trends, forecast assumptions, and potential business impacts.
- Support AOP, strategic plan, and monthly forecast processes by providing economic assumptions, commodity outlooks, inflation/deflation analysis, sensitivity analysis, and risk commentary.
- Partner with Finance, Procurement, Supply Chain, IT, and category teams to improve data flows, troubleshoot reporting issues, automate manual processes, and strengthen analytical capabilities.
- Prepare clear, concise analysis and presentations for leadership, including commentary on key market movements, cost pressures, forecast changes, data limitations, and recommended actions.
- Investigate unusual data movements, pricing discrepancies, source inconsistencies, or changes in market assumptions and provide fact-based explanations and recommendations.
- Establish and maintain documentation for data sources, calculations, methodologies, reporting logic, refresh processes, and recurring deliverables.
- Participate in cross-functional projects related to economic research, commodity reporting, budgeting, forecasting, sourcing analytics, system improvements, and business performance analysis.
- Provide ad hoc financial, commodity, technical reporting, and economic analysis as business needs evolve.
Requirements
- Bachelor’s degree in Finance, Economics, Accounting, Business Analytics, Information Systems, Data Analytics, or related field required.
- 3+ years of professional experience in financial analysis, FP&A, economic research, commodity analysis, procurement finance, business intelligence, data analytics, or technical reporting.
- Strong analytical and technical skills with the ability to work with large data sets, identify trends, troubleshoot data issues, explain variances, and translate findings into business insights.
- Experience with forecasting, budgeting, market analysis, financial modeling, performance reporting, dashboard development, and recurring report automation.
- Advanced proficiency in Microsoft Excel, including complex formulas, data modeling, Power Query, and structured reporting processes.
- Experience with Power BI, SAP, Bloomberg, SQL, Right Angle, or other data visualization, database, automation, or reporting tools preferred.
- Demonstrated ability to research external market data sources, evaluate data quality, document assumptions, and clearly communicate risks, limitations, and methodology.
- Ability to design repeatable, scalable reporting solutions and improve manual processes through automation, standardization, and strong data governance practices.
- Strong written and verbal communication skills with