Financial & Data Analyst (Customer Solutions Group)

Analog Devices•Wilmington, MA

12d

About The Position

Analog Devices is seeking a motivated Financial Analyst to support the Customer Solutions Group (CSG), focusing on financial reporting, data analytics, and commercial finance. The role partners with finance and business stakeholders to strengthen financial discipline, improve visibility into business performance, and turn financial and operational data into actionable insights. It also supports AI enablement across Finance and CSG operations by helping identify use cases, improve data readiness, promote responsible adoption, and integrate approved solutions into recurring workflows. This is an opportunity for a developing finance professional with financial acumen and an interest in data, technology, and process improvement. The role includes exposure to business and Finance leadership, forecasting, reporting, commercial finance, business partnership, and digital enablement, with potential for continued growth and future rotation within the Finance organization. Analog Devices is an equal opportunity employer. Applicants for positions requiring access to technical data may be subject to an export licensing review, except for U.S. citizens, U.S. permanent residents, and protected individuals as defined by law.

Requirements

Bachelor’s degree in Finance, Accounting, Business, Economics, Data Analytics, or a related field.
2–4 years of relevant experience in FP&A, Corporate Finance, Accounting, business analytics, or a related area.
Strong financial modeling, analytical, and problem-solving skills.
Advanced Excel skills and experience creating clear, executive-ready PowerPoint materials.
Experience with data visualization and business intelligence tools such as Power BI, Qlik, or similar platforms.
Ability to work with finance and technology partners to translate business questions into data, reporting, automation, or AI requirements.
Strong attention to detail and ability to synthesize complex financial and operational data into clear insights.
Ability to evaluate data and AI outputs critically, validate results, and communicate assumptions and limitations.
Ability to manage multiple priorities in a fast-paced environment.
Strong communication and interpersonal skills, with the ability to build effective working relationships within Finance and across functions.
Proactive ownership, sound judgment, and commitment to continuous improvement.

Nice To Haves

Experience with enterprise planning and finance systems such as SAP, Anaplan, or similar tools.
Exposure to generative AI, AI-enabled analytics, workflow automation, or data modeling.
Curiosity about emerging technologies and willingness to experiment, learn, and help others adopt new ways of working.
Business-first mindset and interest in connecting analytics and AI capabilities to practical Finance outcomes.

Responsibilities

Prepare and maintain recurring financial reports that provide visibility into business performance.
Support variance analysis and communicate results, trends, and risks to finance and business stakeholders.
Support the revenue forecasting calendar and consolidation process, partnering with internal and external stakeholders to help deliver accurate, timely, decision-useful forecasts.
Support the Leadership Team in managing reporting cadence, governance processes, metric definitions, and standards.
Analyze large and varied datasets to identify trends, drivers, risks, and opportunities.
Build and enhance dashboards, reporting views, and self-service analytics for Finance and CSG operations.
Partner with Finance and CSG stakeholders to identify, prioritize, test, and scale practical AI use cases, including forecast insights, management reporting, variance analysis, workflow automation, and knowledge access.
Improve data quality, documentation, metric consistency, and validation controls; promote governance, human review, and responsible use of financial data and AI outputs.
Map recurring finance processes and identify opportunities to reduce manual work through automation, AI, and standardized reporting.
Help measure adoption, efficiency gains, and business impact of process improvements.
Work with Finance, IT, data, and technology teams to document business needs, translate them into reporting and automation requirements, and support solution testing and implementation.