Analyst IV Finance Advanced Analytics

Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands – Food Lion, Giant Food, The GIANT Company, Hannaford and Stop & Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.

Salisbury, NC

Ahold Delhaize USA

<p class="p1"><strong><br />Ahold Delhaize USA, a division of global food retailer Ahold Delhaize, is part of the U.S. family of brands, which also includes five leading omnichannel grocery brands &ndash; Food Lion, Giant Food, The GIANT Company, Hannaford and Stop &amp; Shop. Ahold Delhaize USA associates support the brands with a wide range of services, including Finance, Legal, Sustainability, Commercial, Digital and E-commerce, Technology and more.<br /><br /></strong>Join our Talent Community to stay updated on opportunities with Ahold Delhaize USA. You&rsquo;ll be the first to know about new positions that match your career aspirations. To join, click here: <strong><a href="https://aholddelhaizeusa.careerswithus.com/join-our-talent-community" target="_blank" title="Talent Community - Ahold Delhaize USA (careerswithus.com)" rel="noopener noreferrer">Talent Community - Ahold Delhaize USA (careerswithus.com)</a></strong>.&nbsp;</p> <p class="p2">&nbsp;</p> <p class="p1"><strong><a href="https://aholddelhaizeusacareers.appvault.com/create" target="_blank" title="Talent Community " rel="noopener noreferrer"></a><br /></strong></p> https://www.adusa.com/

keywords: position summary,position details,schedule,authorized to work in the u.s.,analysis,innovation,technical,teamwork,design,continuous improvement,experience,knowledge,education,skills,travel,proficiency

Full Time

563692

Overview: <span xml:lang="EN-US" data-contrast="none">The advanced analytics analyst will be a key member of the overall data and reporting team. You will serve as a senior analytical and AI practitioner responsible for leading the design, development, and implementation of advanced analytics, machine learning, and AI solutions across the Finance organization. This role will provide technical leadership for strategic AI initiatives while partnering with IT, ADUSA Data Science group to establish and scale Finance's internal data science and AI capabilities.</span><br /><br /><span xml:lang="EN-US" data-contrast="none">The Analyst IV, Finance Advanced Analytics will collaborate across ADUSA Finance, Brand Finance teams and other key ADUSA stakeholders to support the execution AI and advanced analytics work. This role will provide direct support and at times act as a lead resource, to achieve the overall strategic objectives of Finance Transformation. Additionally, this position will work with cross-functional stakeholders to identify, prioritize and lead/facilitate AI/Advanced Analytics work, implement best practices and support ongoing workforce related activities related to attracting, developing and retaining talent.</span><br /><br />***Our flexible/hybrid work schedule includes 3 in-person days at one of our core locations and 2 remote days. Our core office locations include Salisbury, NC, Quincy, MA, Carlisle, PA, Scarborough, ME.<br /><br />Applicants must be currently authorized to work in the United States on a full-time basis until the end of their appointment.
Responsibilities: <ul> <li><span xml:lang="EN-US" data-contrast="none">Develop predictive and AI-driven models that improve forecasting, planning, and operational decision-making across key business processes, enabling more accurate and timely insights from annual plans down to near real-time operations.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Apply advanced analytics, machine learning, optimization, and simulation techniques to identify opportunities for efficiency, cost reduction, process improvement, and business performance enhancement.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Design and maintain scalable analytical models and AI solutions with strong governance, transparency, and methodological rigor to ensure business trust and adoption.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Evaluate model performance, assumptions, and potential sources of bias to ensure analytical outputs remain accurate, explainable, and aligned to business objectives.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Partner with Finance leaders and cross-functional stakeholders to identify high-value opportunities and translate complex business challenges into practical analytics and AI solutions.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Drive the development and deployment of innovative AI capabilities, including predictive analytics, intelligent automation, anomaly detection, and conversational analytics.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Establish testing, experimentation, and continuous improvement frameworks to measure business impact and enhance the effectiveness of analytical and AI solutions over time.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Collaborate with Data, Technology, and Engineering teams to operationalize models and accelerate the delivery of scalable analytics and AI capabilities.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Monitor emerging trends in analytics, machine learning, and generative AI to identify opportunities that can improve business performance and decision-making.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Serve as a technical leader and mentor, providing guidance on analytical approaches, AI best practices, and solution design while helping to build Finance's internal analytics and AI capabilities.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Additional job duties may be assigned as needed to meet the needs of the business and support our Values.</span></li> </ul> <br />
Requirements: <ul> <li>Master's degree required in Mathematics, Data Analytics, Statistics, Informatics, <span xml:lang="EN-US" data-contrast="none">Industrial Engineering, Operations Research,</span> or Data Science.</li> <li><span xml:lang="EN-US" data-contrast="none">6-8+ years of experience in advanced analytics, data science, machine learning, AI, Finance analytics, consulting, or related disciplines.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Demonstrated experience applying advanced analytics, predictive modeling, machine learning, and AI techniques to solve complex business problems and drive measurable outcomes.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Strong understanding of Finance processes and performance management disciplines, including planning, forecasting, reporting, accounting, working capital, or operational finance.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Experience translating business challenges into analytical solutions and partnering with business stakeholders to drive adoption and value realization.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Proficiency with modern analytics and data science tools and languages, including Python, SQL, Power BI, Tableau, Databricks, or similar platforms.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Experience working with large, complex datasets and developing scalable analytical models, forecasting solutions, and decision-support capabilities.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Knowledge of Generative AI, machine learning lifecycle management, model governance, and responsible AI practices.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Strong analytical and problem-solving skills with the ability to synthesize data into actionable business insights and recommendations.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Excellent communication and storytelling skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Experience working in cross-functional environments involving Finance, Technology, Data, and Business Operations teams.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Demonstrated ability to manage multiple initiatives simultaneously in a fast-paced, evolving environment.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Experience mentoring analysts and providing technical leadership on analytical and AI initiatives preferred.</span></li> <li><span xml:lang="EN-US" data-contrast="none">Ability to travel up to 25-30% of the time.</span></li> </ul> <br /><strong><span xml:lang="EN-US" data-contrast="none">Preferred Qualifications:</span></strong><br /><br /> <ul> <li><span xml:lang="EN-US" data-contrast="none">Finance, accounting, business management, management consulting or related field preferred.</span></li> </ul> <br /><br /><span xml:lang="EN-US" data-contrast="auto">ME/NC/PA/SC Salary Range:</span><span xml:lang="EN-US" data-contrast="auto"> $92,640 - $138,960</span><br /><br /><span xml:lang="EN-US" data-contrast="auto">IL/MA/MD/NY Salary Range:</span><span xml:lang="EN-US" data-contrast="auto"> $106,480- $159,720</span><br /><br /><span data-ccp-props="{"><span xml:lang="EN-US" data-contrast="none">Actual compensation offered to a candidate may vary based on their unique qualifications and experience, internal equity, and market conditions. Final compensation decisions will be made in accordance with company policies and applicable laws.</span></span>