Product Strategy Analyst

📍 Job Overview

Job Title: Product Strategy Analyst

Company: UFA Co-operative Ltd.

Location: Calgary, Alberta, Canada

Job Type: Full-Time

Category: Product Strategy / Merchandising Operations

Date Posted: August 18, 2026

Experience Level: 2-5 Years

Remote Status: On-site

🚀 Role Summary

• This role is integral to the Product Strategy & Merchandising department, focusing on data-driven decision-making for product assortment, pricing, and promotional strategies within a retail network.

• The Product Strategy Analyst will conduct in-depth market and competitor research, analyze retail performance data, and identify strategic opportunities and risks to inform business decisions.

• Key responsibilities include developing and maintaining analytical models and reports to track performance metrics and communicating complex findings to cross-functional stakeholders.

• The position requires a strong analytical aptitude, a keen interest in retail and agriculture products, and the ability to translate data insights into actionable recommendations for a fast-paced retail environment.

📝 Enhancement Note: This role sits within the Product Strategy & Merchandising department, suggesting a strong connection to GTM (Go-To-Market) operations, particularly in how product offerings are shaped and presented. While not a traditional Revenue Operations or Sales Operations role, the analytical and strategic components are highly relevant to operations professionals looking to influence product performance and commercial success through data.

📈 Primary Responsibilities

• Conduct comprehensive market, competitor, seasonality, and trend research, utilizing external data sources to enhance product strategy and drive informed business decisions.

• Analyze large and complex datasets to identify trends, opportunities, and risks across product categories and overall retail performance.

• Support Product Strategy Managers by gathering and analyzing data to inform product assortment, pricing, promotional, and retail strategy initiatives.

• Develop and maintain reports, dashboards, and analytical models to effectively track key business and product performance metrics.

• Translate and present analytical findings into clear, concise insights for various cross-functional stakeholders, ensuring understanding and actionable takeaways.

• Support strategic decision-making through ad hoc analysis, scenario modeling, and in-depth performance deep dives.

• Ensure data accuracy, consistency, and integrity across all analyses and reporting activities to maintain trust and reliability.

• Continuously identify opportunities to improve analytical processes, tools, and reporting efficiency to streamline operations.

• Develop a foundational understanding of vendor relationships, product costs, pricing structures, promotional effectiveness, inventory levels, and supplier performance.

📝 Enhancement Note: The responsibilities highlight a strong emphasis on data analysis, reporting, and strategic support, which are core functions within operations. The mention of "assortment, pricing, and promotional strategies" directly links this role to the commercial and GTM side of the business, requiring a blend of analytical rigor and commercial acumen.

🎓 Skills & Qualifications

Education: Diploma or degree in Business Administration, Economics, Supply Chain, Agriculture, Information Management; or 3+ years of experience in an analytical role, ideally within retail, merchandising, procurement, category support, business analysis, or a consumer-focused environment.

Experience: 3+ years of experience in an analytical role, preferably within retail, merchandising, procurement, category support, business analysis, or a consumer-focused environment. Retail, agricultural, livestock, or related industry experience is considered an asset.

Required Skills:

• Strong interest in retail, products, customers, competitors, and commercial business decisions.

• Proficient research skills with the ability to gather information from multiple sources and determine its relevance to business objectives.

• Strong analytical and problem-solving skills with the ability to interpret data and identify meaningful business insights.

• Comfort working with sales, inventory, pricing, and other critical business information.

• Advanced proficiency in Microsoft Excel; strong working knowledge of the Microsoft Office suite and Copilot applications.

• Experience working with large datasets and building dashboards/analytical models to support business decisions.

• High attention to detail with a strong commitment to accurate and timely work.

• Proven ability to manage multiple priorities and deadlines in a fast-paced environment.

• Excellent written and verbal communication skills, with the ability to clearly present analysis and recommendations.

• Ability to work independently while also building effective relationships and collaborating effectively within a cross-functional team. Preferred Skills:

• Retail, agricultural, livestock, or related industry experience.

• Experience with data visualization tools (beyond Excel dashboards).

• Familiarity with business intelligence platforms.

• Understanding of merchandising principles and category management.

📝 Enhancement Note: The required skills heavily emphasize analytical capabilities, data manipulation (Excel, large datasets), and communication. The "advanced proficiency in Microsoft Excel" and "strong working knowledge of Microsoft Office and Copilot" are critical operational tools. The mention of "Copilot" suggests an organization embracing modern productivity tools.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase examples of data analysis projects that led to tangible business improvements or strategic insights.

• Include case studies demonstrating the ability to analyze retail performance metrics (e.g., sales, margin, inventory turnover) and identify actionable opportunities.

• Present instances where analytical findings were translated into specific recommendations for product assortment, pricing, or promotional strategies.

• Demonstrate proficiency in creating clear, concise reports and dashboards that effectively communicate complex data to diverse audiences.

• Highlight projects that involved research into market trends, competitor activities, or industry benchmarks, and how these insights were applied. Process Documentation:

• Candidates are expected to articulate their process for data gathering, cleaning, and analysis, ensuring accuracy and integrity.

• Demonstrate an understanding of how to build analytical models and dashboards to track key performance indicators (KPIs) relevant to retail merchandising and product strategy.

• Explain methodologies used for identifying trends, opportunities, and risks within large datasets.

• Outline approaches for translating complex analytical findings into clear, actionable recommendations for stakeholders.

• Showcase a process for continuous improvement of analytical methods and reporting efficiency.

📝 Enhancement Note: For an analyst role focused on strategy and merchandising, a portfolio should emphasize analytical projects. This includes demonstrating how data was used to influence commercial decisions, such as assortment planning, pricing adjustments, or promotional effectiveness. The focus on "process" implies a need to show not just results, but the systematic approach taken to achieve them.

💵 Compensation & Benefits

Salary Range: Based on industry benchmarks for Product Strategy Analysts in Calgary, Alberta, with 2-5 years of experience, a competitive salary range is estimated to be between CAD $60,000 - $80,000 annually. This estimate considers the cost of living in Calgary, the specific industry (agriculture/retail), and the analytical nature of the role.

Benefits:

• Comprehensive benefits package (details not specified, but typically includes health, dental, vision, and potentially life insurance).

• Performance-based recognition and rewards.

• Opportunities for professional development, including training programs.

• Mentorship opportunities to guide career growth.

• Educational support for further learning and skill enhancement.

• Potential for participation in employee-owner co-operative benefits or profit-sharing (given UFA's co-operative structure).

Working Hours: 40 hours per week, typically Monday to Friday, with potential for occasional travel as required by business needs.

📝 Enhancement Note: Salary estimation for Calgary, AB, Canada, for a Product Strategy Analyst with 2-5 years of experience was researched using aggregate data from reputable job boards and salary survey sites. The range is adjusted for the specified industry (agriculture/retail) and the co-operative business model, which may influence compensation structures. Benefits listed are directly from the provided text, highlighting value beyond base salary.

🎯 Team & Company Context

🏢 Company Culture

Industry: Agriculture and Retail. UFA Co-operative Ltd. is a significant player in Western Canada's agricultural sector, offering a broad range of products and services to its members. This dual focus on agriculture and retail means the company operates within a dynamic and essential industry.

Company Size: UFA is described as one of Canada's largest and most progressive agricultural co-operatives, serving over 127,000 members and operating as a multi-billion-dollar organization. This indicates a large, established company with a significant market presence.

Founded: While the founding date is not explicitly stated, the description "roots will always be in agriculture" and "one of Canada's largest and most progressive agricultural co-operatives" suggests a long-standing history and a commitment to its member-based structure.

Team Structure:

• The Product Strategy Analyst reports to the Sr. Manager, Product Strategy, indicating a clear hierarchical structure within the Product Strategy & Merchandising department.

• This role will collaborate closely with Product Strategy Managers, suggesting a team of specialists working on different aspects of product strategy.

• Given the nature of retail operations, expect collaboration with various cross-functional teams, including merchandising, procurement, marketing, sales, and potentially finance and operations. Methodology:

• Data-Driven Decision-Making: The core of this role is using data to inform assortment, pricing, and promotional strategies.

• Market & Competitive Analysis: Continuous research and analysis of market trends and competitor activities are fundamental.

• Performance Tracking & Reporting: Development and maintenance of reports and dashboards to monitor KPIs.

• Collaborative Strategy Development: Working with managers to refine and execute strategic initiatives.

• Continuous Improvement: Identifying and implementing enhancements to analytical processes and tools.

Company Website: https://www.ufa.com/

📝 Enhancement Note: UFA's co-operative structure is a significant cultural differentiator. It implies a mission-driven organization focused on member well-being and community investment, which can shape the work environment and employee motivations. The scale of the organization suggests structured processes but also opportunities for impact within specific departments.

📈 Career & Growth Analysis

Operations Career Level: This is an Analyst-level position, typically considered an early to mid-career role within operations and strategy functions. It focuses on supporting strategic initiatives through data analysis and research rather than leading them independently. The role requires developing foundational skills in market analysis, retail performance, and strategic planning support.

Reporting Structure: The Product Strategy Analyst reports directly to the Sr. Manager, Product Strategy. This provides direct mentorship and oversight from a senior leader in the product strategy domain. This structure allows for clear guidance and development opportunities.

Operations Impact: While not directly managing revenue or sales pipelines, this role has a significant indirect impact on commercial success. By providing data-driven insights for assortment, pricing, and promotions, the analyst influences product performance, customer purchasing decisions, and ultimately, the company's profitability and market competitiveness. The insights generated contribute directly to optimizing the retail network's product offerings.

Growth Opportunities:

• Specialization: Potential to deepen expertise in specific product categories (e.g., agriculture, livestock, retail goods) or analytical areas (e.g., pricing optimization, assortment planning, competitive intelligence).

• Advancement: Progression to Product Strategy Manager, Category Manager, or Senior Analyst roles within the merchandising or strategy teams.

• Skill Development: Opportunities to learn advanced analytical techniques, new reporting tools, and gain exposure to broader business strategy through mentorship and training.

• Cross-functional Exposure: Potential to move into roles in procurement, marketing, or business analysis within UFA, leveraging a strong understanding of product and market dynamics.

📝 Enhancement Note: The growth path from an Analyst to a Manager role within Product Strategy is a common trajectory. The co-operative structure might also offer unique opportunities for involvement in member-focused initiatives or broader business strategy discussions that are less common in purely profit-driven organizations.

🌐 Work Environment

Office Type: The role is described as "On-site" in Calgary, Alberta. This suggests a traditional office-based work environment within UFA's corporate facilities.

Office Location(s): Calgary, Alberta, Canada (T3E 6L1). This specific postal code points to a particular area within Calgary, likely a corporate office park or business district.

Workspace Context:

• Collaborative Environment: The job description emphasizes the need to "build effective relationships" and "collaborate effectively within a cross-functional team," indicating a workplace that values teamwork and interaction.

• Tools & Technology: The role requires advanced proficiency in Microsoft Excel and the Microsoft Office suite, including Copilot. Access to relevant databases, retail performance systems, and market research tools is implied.

• Team Interaction: Expect regular interaction with Product Strategy Managers and potentially other analysts, fostering a dynamic learning and problem-solving environment.

Work Schedule: The standard work schedule is 40 hours per week, typically Monday through Friday. While the role is on-site, the mention of "travel as necessary" suggests occasional business trips might be required, potentially for site visits, supplier meetings, or industry events.

📝 Enhancement Note: An on-site role in a large co-operative like UFA often provides a stable work environment with established corporate resources and a clear separation between work and personal life, which is beneficial for analytical roles requiring focused attention.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and cover letter to assess qualifications and alignment with the role's requirements. Emphasis will be placed on analytical experience and Excel proficiency.

• Hiring Manager Interview: A discussion with the Sr. Manager, Product Strategy, focusing on your experience with market research, retail performance analysis, data interpretation, and problem-solving skills. Expect behavioral questions related to teamwork and independent work.

• Analytical/Case Study Assessment: You may be asked to complete an analytical exercise or present a case study demonstrating your ability to analyze data, derive insights, and make recommendations. This could involve a hypothetical retail scenario or a deep dive into a provided dataset.

• Cross-functional Interview: Potentially an interview with a Product Strategy Manager or a stakeholder from a collaborating department (e.g., Merchandising, Marketing) to assess your communication skills and ability to work collaboratively.

• Final Interview/Offer: A final discussion, potentially with senior leadership, to confirm fit and extend an offer.

Portfolio Review Tips:

• Highlight Analytical Rigor: Showcase projects where you used data to solve a business problem or uncover an opportunity. Quantify results whenever possible (e.g., "increased sales by X%", "identified Y% cost savings").

• Demonstrate Excel Mastery: Include examples of complex Excel models, pivot tables, VLOOKUPs/XLOOKUPs, data visualization charts, and potentially VBA if applicable. If you have experience with BI tools, include relevant dashboard examples.

• Showcase Strategic Thinking: For each project, explain the business context, your analytical approach, the insights you derived, and the recommendations you made. Connect your analysis to strategic business objectives.

• Clarity in Presentation: Ensure your portfolio items are well-organized, easy to understand, and clearly articulate your role and contribution. For visual elements like dashboards, ensure they are clean and informative.

• Relevance to Retail/Agriculture: If possible, include projects that are similar in nature to retail performance, product assortment, pricing, or market analysis, or clearly articulate how your transferable skills apply.

Challenge Preparation:

• Data Interpretation: Be ready to interpret sales figures, inventory data, pricing trends, and market research reports. Practice identifying key drivers and anomalies.

• Scenario Analysis: Prepare for questions that require you to model different scenarios (e.g., impact of a price change, effectiveness of a promotion) using logical assumptions.

• Communication of Insights: Practice explaining complex data analysis in simple, business-friendly terms. Focus on the "so what?" – what action should be taken based on your findings.

• Excel Proficiency: Brush up on advanced Excel functions, data modeling, and charting techniques. Be prepared for a live Excel exercise if required.

📝 Enhancement Note: The emphasis on a portfolio for an Analyst role suggests that practical demonstration of skills is highly valued. Candidates should prepare to showcase their analytical process and the impact of their work, particularly using Excel and data visualization.

🛠 Tools & Technology Stack

Primary Tools:

• Microsoft Excel: Advanced proficiency is a mandatory requirement. This includes complex formulas, pivot tables, data analysis tools, charting, and potentially macros/VBA for automation.

• Microsoft Office Suite: Strong working knowledge across Word, PowerPoint, and Outlook for reporting, presentations, and communication.

• Microsoft Copilot: Explicitly mentioned, indicating its integration into the workflow for tasks such as data analysis, report generation, and summarization.

Analytics & Reporting:

• Internal Databases/Data Warehouses: Likely access to company-specific data sources for sales, inventory, pricing, and customer information.

• Reporting Tools: While Excel is primary, there may be an enterprise-level BI tool for dashboarding and more advanced reporting (e.g., Power BI, Tableau, or a custom solution).

• Market Research Tools: Access to external data sources and platforms for competitive intelligence and industry trend analysis.

CRM & Automation:

• CRM System (e.g., Salesforce, Microsoft Dynamics): While not explicitly mentioned, a large retail organization like UFA likely uses a CRM for customer data, which might be a source of information for product strategy.

• Data Integration Tools: Understanding of how data flows between different systems would be beneficial, though not explicitly required for this analyst role.

📝 Enhancement Note: The explicit mention of Microsoft Excel at an "advanced proficiency" level, along with "Microsoft Office and Copilot," clearly defines the core technical stack for this role. Candidates should be prepared to demonstrate their expertise in these tools, particularly in data analysis and reporting contexts.

👥 Team Culture & Values

Operations Values:

• Data-Driven Approach: Decisions are based on thorough analysis and insights derived from data, rather than solely on intuition.

• Commercial Acumen: A strong understanding of business objectives, market dynamics, and customer needs is essential for translating data into profitable strategies.

• Collaboration & Teamwork: The ability to work effectively with managers and cross-functional teams is critical for the successful implementation of strategies.

• Accuracy & Detail Orientation: A commitment to high-quality, precise analysis and reporting is paramount for building trust and making sound decisions.

• Continuous Improvement: A proactive mindset towards identifying and implementing efficiencies in processes, tools, and reporting.

Collaboration Style:

• Cross-functional Integration: Expect to work closely with teams responsible for product sourcing, pricing, marketing, and sales, requiring strong communication and relationship-building skills.

• Supportive & Mentorship-Oriented: Reporting to a Sr. Manager and working with Managers suggests a culture where guidance and skill development are actively provided.

• Feedback Exchange: A willingness to share insights, receive constructive feedback, and iterate on analysis and recommendations.

• Problem-Solving Focus: The team likely collaborates to tackle complex challenges related to market shifts, competitive pressures, and optimizing product performance.

📝 Enhancement Note: UFA's co-operative values (purpose, recognition, work-life success, mutual growth) likely permeate the team culture. For this role, it translates to a collaborative environment focused on achieving shared goals for the benefit of members and the organization.

⚡ Challenges & Growth Opportunities

Challenges:

• Data Complexity & Volume: Managing and analyzing large, disparate datasets from various sources to extract meaningful insights can be challenging.

• Translating Data to Strategy: Bridging the gap between raw data and actionable strategic recommendations requires strong analytical and communication skills.

• Fast-Paced Retail Environment: Adapting to market changes, competitive pressures, and evolving customer demands in a dynamic retail setting.

• Cross-functional Alignment: Ensuring buy-in and effective implementation of strategies across different departments with potentially competing priorities.

• Staying Current: Keeping abreast of new analytical techniques, tools, and market trends in the retail and agriculture sectors.

Learning & Development Opportunities:

• Advanced Analytics Training: Opportunities to learn more sophisticated data analysis techniques, modeling, and potentially statistical software.

• Industry Knowledge Expansion: Deepening understanding of the agriculture and retail industries, including product lifecycles, supply chain dynamics, and consumer behavior.

• Mentorship from Senior Leaders: Learning from experienced Product Strategy Managers and Sr. Managers about strategic planning, merchandising, and business decision-making.

• Exposure to BI Tools: Potential to gain experience with enterprise-level business intelligence and data visualization platforms.

• Cross-functional Project Involvement: Opportunities to contribute to projects that span multiple departments, broadening business acumen.

📝 Enhancement Note: The challenges described are typical for an analytical role supporting strategic functions. Growth opportunities are geared towards enhancing analytical skills, expanding industry knowledge, and progressing into more senior strategic or managerial positions within the product and merchandising domain.

💡 Interview Preparation

Strategy Questions:

• "How would you approach analyzing the performance of a new product line launched last quarter?" (Focus on metrics, data sources, and insights.)

• "Describe a time you had to analyze competitor strategies. What did you learn, and how could that information be used to inform our own product strategy?" (Demonstrate research and application skills.)

• "If we were considering a price increase for a key product category, what data would you gather and analyze to support the decision?" (Showcase understanding of pricing strategy drivers.)

• "How do you ensure the accuracy and integrity of the data you use for your analysis?" (Highlight attention to detail and data validation processes.)

• "Walk me through your process for presenting complex data findings to stakeholders who may not have a strong analytical background." (Focus on clarity, storytelling, and actionable recommendations.) Company & Culture Questions:

• "What interests you about UFA's co-operative model and its role in the agriculture and retail sectors?" (Research UFA's mission and values.)

• "How do you see this role contributing to UFA's overall business objectives?" (Connect your responsibilities to commercial success.)

• "Describe your ideal team environment and how you prefer to collaborate with colleagues." (Align with UFA's collaborative culture.)

• "How do you stay updated on retail and agriculture industry trends?" (Showcase proactivity and industry interest.) Portfolio Presentation Strategy:

• Structure Your Narrative: For each portfolio piece, clearly articulate: 1) The Business Problem/Objective, 2) Your Analytical Approach/Methodology, 3) The Key Insights/Findings, and 4) The Recommended Actions/Impact.

• Quantify Impact: Whenever possible, use numbers and metrics to demonstrate the value of your work (e.g., "identified X% opportunity," "recommended changes leading to Y% improvement").

• Highlight Excel Skills: Be prepared to briefly demonstrate or explain complex Excel models or visualizations you've created. If you used other BI tools, be ready to discuss their application.

• Focus on Relevance: Emphasize projects that showcase your ability to analyze retail performance, market trends, pricing, or assortment strategies. If your experience is in a different industry, clearly articulate how your analytical skills are transferable.

• Conciseness: Be mindful of time. Prepare a concise overview of your most impactful projects, ready to dive deeper into specifics if asked.

📝 Enhancement Note: Interview preparation for this role should focus on demonstrating strong analytical capabilities, proficiency with Excel, strategic thinking, and the ability to communicate complex data insights effectively. Preparing specific examples that align with retail and merchandising challenges will be key.

📌 Application Steps

To apply for this Product Strategy Analyst position:

• Submit Your Application: Apply directly through the UFA careers portal via the provided link.

• Tailor Your Resume: Ensure your resume highlights your analytical experience, proficiency in Microsoft Excel (mentioning advanced skills), data analysis, reporting, and any experience in retail, merchandising, or agriculture. Use keywords from the job description.

• Prepare Your Portfolio: Curate 2-3 key analytical projects that showcase your skills in data analysis, interpretation, reporting, and strategic recommendation. Focus on quantifiable results and clear communication. Be ready to present these during the interview process.

• Research UFA: Understand UFA's co-operative model, its mission, its key industries (agriculture and retail), and its commitment to members. This will help you articulate your interest and cultural fit.

• Practice Interview Questions: Prepare responses to common analytical, behavioral, and situational questions, as well as questions specific to the role's responsibilities and UFA's business context. Practice articulating your portfolio projects clearly and concisely.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.