Productivity Analytics & Automation Analyst

Position Summary

The role serves as a key strategic and operational partner to the Director of Productivity, responsible for transforming workforce activity data from multiple productivity-tracking platforms into structured, actionable insights that support executive decision-making.

The position focuses on streamlining data management, eliminating manual processes, and developing automated workflows, interactive dashboards, and executive-ready reports and presentations. By leveraging Microsoft Copilot, Copilot agents, Robotic Process Automation (RPA), and AI-powered solutions, the role drives operational efficiency, improves data accuracy, and enables the Productivity Office to focus on strategic analysis and leadership engagement.

Working closely with Corporate IT, the position also translates business requirements into scalable, integrated, and well-governed technology solutions. It ensures that data, applications, and reporting processes are centralized, standardized, and aligned with organizational standards, ultimately strengthening the Productivity Office's ability to deliver timely, reliable, and meaningful insights to the CEO and department heads.

Required Qualifications

• Bachelor's degree in Business Analytics, Information Systems, Computer Science, Industrial Engineering, Data Science or a related field, or equivalent practical experience.
• 4–7 years of experience in business analytics, BI, operations analysis or a similar data-driven role.
• Hands-on experience building dashboards and reports in Power BI (DAX, data modeling) or an equivalent BI tool such as Tableau or Qlik.
• Advanced Excel skills (Power Query, pivot tables, complex formulas) and experience consolidating data from multiple flat-file sources.
• Working knowledge of SQL and relational database concepts (tables, joins, data types, basic query writing).
• Demonstrated experience automating business processes with Power Automate, UiPath, Automation Anywhere or a comparable RPA / workflow tool.
• Practical experience using Microsoft 365 Copilot or comparable generative-AI tools in day-to-day analytical work, and familiarity with building Copilot agents or similar AI assistants.
• Experience preparing executive-level presentations in PowerPoint, including data storytelling for senior audiences.
• Strong written and verbal communication skills in English, with a track record of explaining data findings to non-technical stakeholders.
• Ability to handle confidential workforce information with discretion.
• Legally authorized to work in the United States.

Preferred Qualifications

• Experience with productivity, workforce-analytics or activity-monitoring platforms (e.g., ActivTrak, Microsoft Viva Insights, Teramind, Hubstaff) and the ethical use of their data.
• Experience with Copilot Studio, Azure AI Foundry, Azure OpenAI or agent-building frameworks.
• Exposure to AI-assisted application development (e.g., Claude, GitHub Copilot) and low-code platforms such as Power Apps.
• Familiarity with data integration and transformation tools (Microsoft Fabric, Azure Data Factory, Dataverse, SharePoint lists).
• Understanding of application and database architecture sufficient to write requirements and participate in design reviews.
• Experience in a multinational, multi-region organization; Spanish language skills are a plus given our Latin America operations.
• Certifications such as Microsoft PL-300 (Power BI Data Analyst), PL-500 (Power Automate RPA Developer), AI-900, or a UiPath certification.
• Background in operations, HR analytics, process improvement or Lean / Six Sigma.

Key Responsibilities

Data organization and management

• Own the intake, cleansing and organization of productivity data from multiple capture tools and flat-file sources (Excel, Word, CSV, system exports).
• Design and maintain a structured, governed data model so productivity data is consistent, traceable and reusable.
• Document data sources, definitions and transformation logic; maintain a data dictionary for productivity KPIs.
• Retrieve, consolidate and summarize information from documents and reports, including with AI-assisted extraction.

Analytics, KPIs and dashboards

• Define and maintain productivity KPIs in partnership with the Director of Productivity and department heads.
• Build and maintain dashboards in Power BI (or the enterprise BI standard) covering utilization, activity patterns, trends and exceptions.
• Analyze results, identify patterns and outliers, and present findings with clear recommendations.

Executive presentations and reporting

• Prepare presentations and briefing materials for the CEO, executive team and department heads.
• Produce recurring reporting packs on a monthly and quarterly cadence, plus ad-hoc deep dives as requested.
• Ensure every deliverable is accurate, consistent and presentation-ready before it reaches leadership.

AI and automation

• Use Microsoft 365 Copilot and build Copilot agents / Copilot Studio solutions to automate data preparation, summarization and reporting.
• Design and implement RPA or workflow automations (e.g., Power Automate) for repetitive, rules-based tasks.
• Apply agentic AI and large-language-model tools responsibly, within the company's AI governance and data-security policies.

Applications and partnership with IT

• Translate Productivity Office needs into clear functional and data requirements for Corporate IT.
• Participate in scoping, prototyping and testing of new applications or databases, including AI-assisted development (e.g., building tools with Claude or similar platforms in conjunction with IT).
• Act as the Productivity Office's primary liaison with IT on data, security, access and integration matters.

Support to the Director of Productivity

• Provide day-to-day analytical and operational support across a changing portfolio of assignments.
• Prepare materials for meetings with department heads and follow up on agreed actions.
• Handle sensitive workforce data with discretion and in line with HR and legal guidelines.

What success looks like after 12 months

• All recurring productivity data sources land in a single governed data model, with no manual re-keying from flat files.
• A live set of productivity dashboards and KPIs is used in monthly reviews with the CEO and department heads.
• The most repetitive data-preparation and reporting tasks run through automated flows or Copilot agents.
• At least one Productivity Office application or database has been scoped with IT and delivered using an AI-assisted development approach.
• The Director of Productivity has a trusted partner who can take a loosely defined assignment and deliver a finished, presentable result.

***Please note: This position does not qualify for relocation expenses.***

Fresh Del Monte Produce Inc. is a global leader in the production, distribution, and marketing of fresh and fresh cut fruits and vegetables. Our diverse product portfolio also includes prepared fruits and vegetables, juices, beverages, snacks, and desserts—available in over 80 countries worldwide. With operations spanning more than 35 countries, we’ve proudly been nourishing families for over 135 years.

We are committed to maintaining a drug-free workplace and are proud to be an Equal Opportunity Employer. Fresh Del Monte and its affiliates do not discriminate based on race, color, religion, national origin, age, disability, gender, veteran status, or any other characteristic protected by applicable law. We also participate in E-Verify* where applicable, to ensure employment authorization eligibility. Driven by our core values - Excellence, Care, Passion, Trust, and Creativity - we invite you to explore our career opportunities and join our FRESH team.