Senior Consultant, People Analytics

4 days ago

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Logo of Thermo Fisher Scientific

Thermo Fisher Scientific

Thermo Fisher Scientific is the world leader in serving science, with annual revenue of more than $40 billion. Their mission is to enable customers to make the world healthier, cleaner, and safer by supporting life sciences research, solving complex analytical challenges, increasing laboratory productivity, and improving patient health through diagnostics and the development of life-changing therapies. With a global team, they offer innovative technologies and pharmaceutical services through brands such as Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific, Unity Lab Services, Patheon, and PPD.

Analytical Instruments β€’ Laboratory Supply Chain Programs and eCommerce β€’ Laboratory Equipment β€’ Lab Services β€’ Specialty Diagnostics

πŸ“‹ Description

β€’ Join Thermo Fisher Scientific as a Sr. Consultant in People Analytics β€’ Contributing to data-driven choices with critical thinking and analytical abilities β€’ Display excellent problem-solving and critical thinking skills to clearly define problems β€’ Establish facts, draw valid conclusions, and provide recommendations β€’ Detailed working knowledge of statistics, financial modeling, and people analytics β€’ Blend of business perspective with a "bottom line" orientation β€’ Ability to work independently with minimal supervision β€’ Practical working experience in the workforce analytics and workforce planning function β€’ Critical thinking to translate complex data into human capital requirements

🎯 Requirements

β€’ Master's degree in business, science, or statistics with 3 years of relevant work experience with HR data and analytics, or related experience β€’ 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 β€’ Demonstrate proficiency in visualization and analytics tools such as Excel, PowerBI, SQL, Python β€’ Apply statistical concepts and principles like descriptive statistics, regression, correlation, and significance testing in data analysis β€’ Collect, coordinate, analyze, and interpret large volumes of data to uncover patterns and trends β€’ Apply knowledge of key HR metrics to quantify and analyze data effectively β€’ Ability to craft prompts to produce better GenAI output for problem solving a given challenge β€’ Visual storytelling and must be able to use PowerPoint to build compelling and informative presentations that tell a story β€’ Change management within a highly matrixed organization

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