Category/Area of Expertise: Accounting/Finance
Job Requisition: 563692
Address: USA-MA-Quincy-1385 Hancock Street
Store Code: Finance Data, Reporting & Analytics (5133633)
The advanced analytics analyst will be a key member of the overall data and reporting team. You will serves 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.
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.
***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
Essential functions:
- 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.
- Apply advanced analytics, machine learning, optimization, and simulation techniques to identify opportunities for efficiency, cost reduction, process improvement, and business performance enhancement.
- Design and maintain scalable analytical models and AI solutions with strong governance, transparency, and methodological rigor to ensure business trust and adoption.
- Evaluate model performance, assumptions, and potential sources of bias to ensure analytical outputs remain accurate, explainable, and aligned to business objectives.
- Partner with Finance leaders and cross-functional stakeholders to identify high-value opportunities and translate complex business challenges into practical analytics and AI solutions.
- Drive the development and deployment of innovative AI capabilities, including predictive analytics, intelligent automation, anomaly detection, and conversational analytics.
- Establish testing, experimentation, and continuous improvement frameworks to measure business impact and enhance the effectiveness of analytical and AI solutions over time.
- Collaborate with Data, Technology, and Engineering teams to operationalize models and accelerate the delivery of scalable analytics and AI capabilities.
- Monitor emerging trends in analytics, machine learning, and generative AI to identify opportunities that can improve business performance and decision-making.
- 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.
- Additional job duties may be assigned as needed to meet the needs of the business and support our Values.
Qualifications:
- Applicants must be currently authorized to work in the United States on a full-time basis until the end of their appointment.
- Master's degree required 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 techniques to solve complex business problems and drive measurable outcomes.
- Strong understanding of Finance processes and performance management disciplines, including planning, forecasting, reporting, accounting, working capital, or operational finance.
- Experience translating business challenges into analytical solutions and partnering with business 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 with the ability to synthesize data into actionable business insights and recommendations.
- Excellent communication and storytelling skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences.
- Experience working in cross-functional environments involving Finance, Technology, Data, and Business Operations teams.
- Demonstrated ability to manage multiple initiatives simultaneously in a fast-paced, evolving environment.
- Experience mentoring analysts and providing technical leadership on analytical and AI initiatives preferred.
- Ability to travel up to 25-30% of the time
Preferred Qualifications:
- Finance, accounting, business management, management consulting or related field preferred
ME/NC/PA/SC Salary Range: $92,640 - $138,960
IL/MA/MD/NY Salary Range: $106,480- $159,720
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.
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