Analyst IV Finance Advanced Analytics

Ahold Delhaize•Pleasant Hill, ME

2d•Hybrid

About The Position

Ahold Delhaize USA is hiring an Analyst IV Finance Advanced Analytics to serve as a senior analytical and AI practitioner within its data and reporting team. The role leads the design, development, and implementation of advanced analytics, machine learning, and AI solutions across the Finance organization. It provides technical leadership for strategic AI initiatives and partners with IT and the ADUSA Data Science group to build and scale Finance’s internal data science and AI capabilities. The analyst works across ADUSA Finance, brand Finance teams, and other stakeholders to support Finance Transformation. The position provides direct support and may lead work to achieve strategic objectives, identify and prioritize analytics initiatives, implement best practices, and support activities related to attracting, developing, and retaining talent. The flexible hybrid schedule consists of three in-person days and two remote days each week, based at one of the core office locations in Salisbury, NC; Quincy, MA; Carlisle, PA; or Scarborough, ME. Travel may be required up to 25–30% of the time.

Requirements

Master’s degree in Mathematics, Data Analytics, Statistics, Informatics, Industrial Engineering, Operations Research, or Data Science.
6–8+ years of experience in advanced analytics, data science, machine learning, AI, Finance analytics, consulting, or related disciplines.
Demonstrated experience applying advanced analytics, predictive modeling, machine learning, and AI to complex business problems and measurable outcomes.
Strong understanding of Finance processes and performance management, including planning, forecasting, reporting, accounting, working capital, or operational finance.
Experience translating business challenges into analytical solutions and partnering with stakeholders to drive adoption and value realization.
Proficiency with modern analytics and data science tools and languages, including Python, SQL, Power BI, Tableau, Databricks, or similar platforms.
Experience working with large, complex datasets and developing scalable analytical models, forecasting solutions, and decision-support capabilities.
Knowledge of generative AI, machine learning lifecycle management, model governance, and responsible AI practices.
Strong analytical and problem-solving skills, including the ability to turn data into actionable insights and recommendations.
Excellent communication and storytelling skills, including the ability to explain complex analytical concepts to technical and non-technical audiences.
Experience in cross-functional environments involving Finance, Technology, Data, and Business Operations teams.
Ability to manage multiple initiatives in a fast-paced, evolving environment.
Ability to travel up to 25–30% of the time.
Must be currently authorized to work in the United States on a full-time basis through the end of the appointment.

Nice To Haves

Experience mentoring analysts and providing technical leadership on analytical and AI initiatives.
Background in Finance, accounting, business management, or management consulting.

Responsibilities

Develop predictive and AI-driven models to improve forecasting, planning, and operational decision-making across business processes.
Apply advanced analytics, machine learning, optimization, and simulation to identify opportunities for efficiency, cost reduction, process improvement, and stronger business performance.
Design and maintain scalable analytical models and AI solutions with governance, transparency, and methodological rigor.
Evaluate model performance, assumptions, and potential sources of bias to maintain accuracy, explainability, and alignment with business objectives.
Partner with Finance leaders and cross-functional stakeholders to identify high-value opportunities and translate business challenges into practical analytics and AI solutions.
Drive development and deployment of AI capabilities, including predictive analytics, intelligent automation, anomaly detection, and conversational analytics.
Establish testing, experimentation, and continuous-improvement frameworks to measure business impact and improve analytical and AI solutions.
Collaborate with Data, Technology, and Engineering teams to operationalize models and accelerate scalable analytics and AI delivery.
Monitor emerging analytics, machine learning, and generative AI trends for opportunities to improve business performance and decision-making.
Provide technical leadership and mentoring on analytical approaches, AI best practices, and solution design, and help build Finance’s internal analytics and AI capabilities.
Support Finance Transformation objectives and workforce-related activities, including attracting, developing, and retaining talent.
Perform additional duties as assigned to meet business needs and support company values.