People Analytics Developer

The People Services & Technology team at Apple is currently looking for an experienced analytics developer to join the team. As a professional data analytics developer working with team with varied strengths of experts imagine what you could do at Apple This is an opportunity to join a dynamic HR analytics team passionate about improving Apple employee hire-to-retire career experience to enable people at Apple do the best work of their lives. You will be part of a global people analytics team delivering analytics capability across a wide-range of people related products in the area of recruitment, candidate care, employee relations, people survey, talent planning and a number of other strategic focus areas for the People Services & Technology organisation.

Description

The people analytics developer will play a pivotal role in the people analytics team, working with data in the Apple enterprise data warehouse from multiple systems across the Apple HRIS landscape to derive powerful insights for leadership and build analytical products which drive a positive employee experience across Apple. In this position you will: - Design, develop, and deploy reports, analytics and dashboards for Source-to-Hire-to-Retire cycle to enable business to take data driven decisions - Collaborate with business partners, regional coordinators and leaders to identify business reporting requirements - Use Reporting/Analytics tools like Tableau to develop dashboards and reports - Re-model database architecture, semantics, schemas and views to meet the business requirements - Maintain existing analytics products and their codebase - Ensure successful delivery of new feature implementations - Re-engineer existing reporting ecosystem for improvement, simplification, standardization, and security - Adhere to all policies, standards and practices defined by Apple Data Compliance and Security team

Minimum Qualifications

• 6+ years of experience in developing and maintaining reports and analytics using analytical reporting tools with specific emphasis on Tableau.
• Bachelor's degree or equivalent experience in Computer Science, Information Management Systems, Data Science, or related field.
• Knowledge of data visualisation and appropriate application of charting tools to produce dashboards which can be used to identify data insights.

Preferred Qualifications

• The role requires technical expertise in advanced analytics techniques leveraging SQL-development, data visualisation and charting and statistical analysis as well as strong familiarity with a variety of different analytics technologies & tools. The following outlines the areas of expertise required to perform the functions of this role:
• Familiarity with HR analytics and reporting tools for measuring HR performance and employee satisfaction.
• Strong data engineering skills including expertise in SQL to develop optimised data sets for use across analytics products.
• Good knowledge of Snowflake enterprise data warehouse technology and relational database technologies such as MySQL and Postgres.
• Translation of high level, often vague business requirements into a tangible prototype to drive discussion and further iterations to find the right solution.
• Proactively assess new tasks coming to the team via the intake process, quickly assess priority and take appropriate action to resolve or reach out.
• Comfortable managing multiple priorities and setting customer expectations appropriately.
• Influence technology direction of the team to enhance the teams toolset and skills.
• Maintain consistent and effective communications globally with partner teams, managers and leadership to ensure insight to the work being done.
• Foster a positive, humble and open culture in any team and consistently exhibit Apple values of inclusion, trust and respect for others.
• Certifications in Data Science, Reporting & Analytics tools
  Knowledge of more advanced data processing techniques using Python libraries such as Numpy & Pandas, as well as awareness of data science libraries for use in statistical analysis techniques

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