Data Governance & Dashboard Analytics

Analog Devices•Wilmington, MA

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. The role includes metrics for Talent Acquisition, internal movement, performance and goal management, and succession. The Analyst collaborates with HR and IS colleagues across countries to configure reports and dashboards, synthesize and analyze data, and produce understandable visualizations that support data-driven insights.

Requirements

3–5 years of related data analytics or HR systems experience in global organizations.
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 the development of ADI’s long- and short-term analytics roadmap and the technologies needed to support it.
Design, develop, and publish workforce dashboards for key metrics, including Talent Acquisition, Talent Management, internal movement, and succession planning.
Identify and assess 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 ideas, methods, and process improvements, and stay current with new system functionality releases.
Collaborate with colleagues, internal stakeholders, and external thought partners through meetings, customer community involvement, and benchmarking.
Research data science methodologies and apply them to facilitate data-driven decision-making.
Create data visualizations and narratives that communicate the interpretation of complex data sets.