Insights & Analytics Manager at DEL Monte in Pittsburgh, PA

  • Company: DEL Monte
  • Location: Pittsburgh, PA
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-09-19

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Job description

Fresh Del Monte Produce Inc. is a global leader in the production, distribution, and marketing of fresh, value-added, and shelf-stable fruits and vegetables under our Fresh and Foods divisions. Our diverse product portfolio proudly bears the Del Monte® brand and 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. Benefits We Offer Include: Medical, Dental & Vision Insurance 401(k) with company match Employer-paid life & disability insurance Flexible Spending Accounts (FSA) Paid Time Off (PTO) 7 Company Paid Holidays 24/7 Telemedicine & Employee Assistance Program Optional voluntary benefits (legal, accident, identity protection) Eligibility on the first of the month following your hire date Purpose of Position: Del Monte Foods is the Foods Division of Fresh Del Monte, a global grower, producer and marketer of fresh, value-added, and shelf-stable produce. Del Monte Foods has a powerful portfolio of brands, including the iconic Del Monte®, Contadina® and S&W®. We are currently seeking a Insights & Analytics Manager. The role of Insights & Analytics Manager is responsible for supporting the Foods Division commercial organization reporting capabilities, tool creation, and analytic capabilities. This role is responsible for providing insights on one or more business units. This manager supports the Foods Division capabilities in building, maintaining, and drawing insights from syndicated and retailer POS and shopper card data with speed, agility, and efficiency. This individual explores new and emerging industry technologies and data to enable faster acquisition of insights from POS, shopper card, and other data sources. Additionally, this individual can create compelling HQ stories for specific business objectives for one or more business units that enable the field to achieve increased distribution and the brand team(s) to better understand the category competitive landscape across customers. This individual ensures accurate and timely reporting of data to the commercial organization. He/She is also charged with the training and enablement of all commercial team associates in the use of reports, tools, and platforms. This individual is a thought leader in ways and methods for improving the Foods Division ability to interpret and synthesize data insights. The Insights & Analytics Business Manager closely collaborates and partners with internal stakeholders as well as key contacts from Circana, Stratum, EYC, Dunhumby, and other data providers ensuring our users are properly supported and trained. Accountabilities: Manages the creation, maintenance, and timely delivery of reporting that supports clear understanding of business performance (i.e., Syndicated and BW data). Creates, maintains, and delivers tools that support the sales and marketing organizations in a wide variety of insights delivery. Oversees the creation and delivery of templates and reports from syndicated data providers that support quick access to data and insights; ensures accuracy of reports and format is consistent with how Foods views their businesses. Ensures Foods Division users have access to excellent customer service, system training, job aids, and information (i.e., system upgrades and changes, outages, and operational issues/changes). Acts as the subject matter expert in the data purchased and used by the Foods Division commercial team with the ability to simply translate data measures into easy-to-understand terms for users. Leads and provides training and support to users. Works closely with cross functional partners to ensure new technologies are properly planned, embedded and supported for optimal utilization and investment returned to the organization. Works closely with IT on the integration of data lake technologies and that visualization plat

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