Senior Staff HR Analyst

Work Schedule
Standard (Mon-Fri)

Environmental Conditions
Office

Job Description

COMPANY: Thermo Fisher Scientific Inc.

LOCATION: 168 Third Avenue, Waltham, MA 02451

TITLE: Senior Staff HR Analyst

HOURS: Monday to Friday, 8:00 am to 5:00 pm

DUTIES: • Serve as the dedicated HR Insights and Analytics Partner supporting the operational and strategic business objectives of the company;
• Lead projects involving quantitative and qualitative studies, statistical and analytical modeling, exploratory, prescriptive, and predictive analysis using large sets of structured and unstructured data, bringing together talent data with cross-functional and external data sources;

• Translate data into visually compelling stories;
• Match operational and strategic business needs to analytical methodologies or technological solutions;
• Build the analytical capability of HR business partners as a trusted mentor, consultant, and trainer that specializes in identifying drivers, trends, and proactive opportunities found in data;
• Maintain integrity and strict confidentiality to protect employee data privacy.

Travel: Up to 30% domestic or international travel required. Can work remotely or telecommute.

REQUIREMENTS: MINIMUM Education Requirement: Bachelor's degree in Business Administration, Human Resources Management, Data Analytics or a related field of study. MINIMUM Experience Requirement: Five years of experience as a senior human resources analyst or related experience.
Alternative Education and Experience Requirement: Master's degree in Business Administration, Human Resources Management, Data Analytics, or a related field of study plus 3 years of experience as a senior human resources analyst or related experience.

Required knowledge or experience with:
• Leadership agility within a large, global, highly matrixed organization;
• Demonstrable ability to navigate through high degrees of organizational change due to incredible growth;
• Data visualization and analysis tools, Power BI or Tableau;
• Microsoft Excel;
• Technical capabilities in data wrangling, analytical techniques, internal and external benchmarking data extraction using various tools such as Python, Dataflows, Power Query or similar tools;
• Presentation skills with the capability to effectively communicate complex concepts in senior executive settings.

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