Data Governance & Dashboard Analytics

Analog Devices•Wilmington, MA

23h•$95,600 - $131,450

About The Position

As part of Analog Devices’ HR Operations organization, the Senior Analytics Analyst works closely with Global HR colleagues and ADI’s Finance and IT organizations to develop key metrics dashboards covering the full employee lifecycle, including Talent Acquisition, Internal Movement, Performance and Goal Management, and Succession. The analyst collaborates with HR and IS colleagues in different countries to configure reports and dashboards, synthesize and analyze data, and create clear data visualizations that deliver useful insights. The role also contributes to ADI’s short- and long-term analytics roadmap, promotes data quality and integrity across HRIS platforms and processes, explores the use of AI in HRIS and analytics, and researches data science methodologies to improve data-driven decision-making. The position requires 10% travel and is listed as a first-shift/day role.

Requirements

A minimum of 3–5 years of related data analytics or HR systems experience in global organizations; Workday experience is preferred.
Bachelor’s degree in Business, HR, Analytics, Data Science, or a related discipline.
Proficiency with data analysis and visualization tools such as Power BI, Dataiku, and SQL.
Understanding of machine learning algorithms and statistical methods.
Ability to handle confidential information appropriately.
Strong analytical and Excel skills, including the ability to mine and interpret data.
Excellent written and verbal communication skills.
Energetic, proactive, resourceful, and self-motivated approach to work.

Nice To Haves

Experience with Workday.

Responsibilities

Advise on and participate in developing ADI’s long- and short-term analytics roadmap and the technologies needed to support it.
Design, develop, and publish workforce dashboards tracking key metrics for Talent Acquisition, Talent Management, Internal Movement, Succession Planning, and related areas.
Identify data-quality review opportunities; design and implement reporting metrics and dashboards; and monitor, govern, and continually improve data integrity, accuracy, and compliance across HRIS platforms and processes.
Identify opportunities to integrate AI into HRIS and analytics solutions to drive automation, improve data accessibility, and enhance the end-user experience.
Introduce new ideas, methods, and process improvements, and stay current with new system functionality releases.
Engage and collaborate with colleagues, internal stakeholders, and external thought partners through meetings, customer-community involvement, and benchmarking.
Research data science methodologies and apply them to enhance data-driven decision-making.
Create data visualizations and narratives to communicate the interpretation of complex data sets effectively.