What are the responsibilities and job description for the Sr. Consultant, People Analytics position at Thermo Fisher Scientific?
Work Schedule
Standard (Mon-Fri)
Environmental Conditions
Office
Join Thermo Fisher Scientific as a Sr. Consultant in People Analytics, contributing to data-driven choices with critical thinking and analytical abilities.
Required Skills
Standard (Mon-Fri)
Environmental Conditions
Office
Join Thermo Fisher Scientific as a Sr. Consultant in People Analytics, contributing to data-driven choices with critical thinking and analytical abilities.
Required Skills
- Display excellent problem-solving and critical thinking skills to clearly define problems, establish facts, draw valid conclusions, and provide recommendations.
- Detailed working knowledge of statistics, financial modeling, and people analytics.
- Blend of business perspective with a "bottom line" orientation.
- Ability to work independently with minimal supervision, using independent judgment and discretion to complete advanced analyses and deliverable requirements.
- Practical working experience in the workforce analytics and workforce planning function.
- Critical thinking and conceptual abilities to translate complex data and business priorities into human capital requirements and insights that inform strategy.
- Creativity in the communication and packaging of concepts and ideas.
- Positive relationship management skills developed sufficient to acquire support from Executive level management and elicit cooperation and consensus from team members.
- Proven experience delivering outstanding internal work deliverables across a broad level including senior Executives.
- Ability to partner closely to better understand business issues and help craft business analysis models that will yield valuable outcomes.
- Demonstrate resourcefulness and creativity in handling situations effectively and suggesting ways to improve work processes.
- Adapt to changes and learn new technologies and techniques as required.
- Develop HR business partners' data analysis skills by mentoring them on tool selection, trend spotting, and seizing data opportunities.
- Master’s degree in business, science, or statistics with 3 years of relevant work experience with HR data and analytics, or related experience
- Or Bachelor’s degree in engineering, mathematics, economics or statistics with analytic focus with 5 years of relevant work experience with HR data and analytics, or related experience
- Demonstrate proficiency in visualization and analytics tools such as Excel, PowerBI, SQL, Python
- Apply statistical concepts and principles like descriptive statistics, regression, correlation, and significance testing in data analysis.
- Collect, coordinate, analyze, and interpret large volumes of data to uncover patterns and trends.
- Apply knowledge of key HR metrics to quantify and analyze data effectively.
- Ability to craft prompts to produce better GenAI output for problem solving a given challenge.
- Visual storytelling and must be able to use PowerPoint to build compelling and informative presentations that tell a story. This includes the ability to develop a clear narrative, use data to support your argument, and design slides that are visually appealing and easy to understand; and
- Change management within a highly matrixed organization.