Applied Materials is the leader in materials engineering solutions to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on industrial scale enables customers to transform possibilities into reality. Our innovations make possibleâ„¢ the technology shaping the future.
The Applied Materials â€œHR Reporting and Analyticsâ€� team (HR&A) is seeking an individual with strong business acumen and analytical skills to act as an internal consultant on key workforce issues. The HR Reporting and Analytics Teamâ€™s mission is to â€œprovide insights that help optimize business using evidence-based decision-making.â€� In this role, you will support evidence-based decision making on Human Capital, design, develop and implement data-based solutions that have a direct and measurable impact.
As a People Analytics Data Scientist, you will work with HR and the business in achieving business results by using talent data to inform and improve decision-making. This position will utilize data analysis methodologies, tools and approaches to provide insights. This individual will be responsible for translating business objectives and challenges into analytics priorities, communicating the analytics findings to influence and inform business decisions and solve high-value problems.
The individual must be highly data driven, technically proficient, creative, detail-oriented, intellectually curious and an effective communicator. This role requires a significant understanding of data mining and analytical techniques.
+ Partner closely with Senior Leadership, HR Business Partners, HR colleagues in other functional areas and fellow HR&A team members to identify key workforce issues impacting the business.
+ Use consulting skills to determine and articulate internal customer business questions, develop the best approach for data analysis and turn data into actionable insights & recommendations.
+ Participates in HR analytics projects to investigate potential measures, correlations and causality connections for critical business issues
+ Merge structured, semi-structured and unstructured data from several systems to highlight company trends related to recruiting, developing, engaging and retaining talent
+ Develop hypotheses, document assumptions, and analyze results as they relate to key business initiatives.
+ Explore and analyze the data creatively to identify HR analytics solutions that adds value in the strategic decision-making process.
+ Perform complex data analysis and generate insight to support the HR workforce analytics needs of the business, to drive more informed business decisions
+ Use sophisticated data analytics techniques such as regression analysis, factor analysis, t-tests, decision trees, ANOVA and forecasting methods in application to business problems.
+ Prediction and trend analysis to anticipate the changes in the business, and to enable better decision making.
+ Develop workforce planning frameworks, models and insights to support the business in making data-driven decisions on complex business problems
+ Effectively communicate statistical analyses, results, and implications to technical and non-technical audiences
+ Deliver high quality analysis, reports, presentations using simple and effective visualizations that can be scaled for consumption by a larger audience.
+ Stay current on industry trends and best practices regarding human capital/workforce analytics.
+ Create and maintain monthly and quarterly workforce metrics and analysis. Develop processes to streamline the compilation of periodic reporting/analysis
+ Masterâ€™s degree in a quantitative discipline such as Statistics, Data Science, Finance, Engineering, Computer Science, Management Science or Econometrics.
+ 3+ yearsâ€™ experience in a quantitative or analytics role
+ Experience with Data Analytics using R/Python, statistical packages and libraries, SQL, visualization tools like Tableau, Business Intelligence (BI) tools, Hive, Excel.
+ Experience with data mining techniques and algorithms
+ Experience manipulating large data sets through statistical software or other methods
+ Ability to create ad-hoc queries, join data from multiple sources to perform complex analysis
+ Demonstrated ability to analyze complex issues, form hypotheses, analyze to predict outcomes, determine solutions and recommendations.
+ Works effectively in an unstructured environment requiring new perspectives and creative approaches
+ Stellar communication skills, critical thinking, and high attention to detail
+ Strong consultative skills and the ability to build relationships with HR and cross-functional partners
+ Ability to learn quickly and work within tight deadlines; self-starter; must take personal initiative and will assume responsibility and ownership
+ Basic financial knowledge (ROI, basic understanding of financial statements), business acumen.
+ Proven ability to manage multiple projects and priorities in a dynamic environment
+ Ability to work both independently and as part of a team
+ Ability to innovate through data and analytics to provide new insight to the business
+ Experience with HRIS systems like Workday
+ Experience in HR workforce analytics and HR data and metrics
+ Strong project management skills
Master's Degree (Required)
**Years of Experience:**
7 - 10 Years
Yes, 10% of the Time
Applied Materials is committed to diversity in its workforce including Equal Employment Opportunity for Minorities, Females, Protected Veterans and Individuals with Disabilities.
Applied Materials is the leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. At Applied Materials, our innovations make possible the technology shaping the future.