Manager HR Data, Reporting & Analytics

Job Description

Accountabilities

• Partner with senior stakeholders across the HR team to solve key business questions and hypotheses, employing consulting techniques to prioritise analytical projects effectively according to impact.
• Be a key partner and stakeholder manager for HR domain and business leaders in the translation of business needs into sustainable analytics and insights
• Architect, develop, and maintain Databricks One dashboards integrating multiple data sources for unified analytics delivery, that adhere to the visualization best practices and communicate a story.
• Configure, optimize, and manage Databricks Genie Space environments to support collaboration, experimentation, and deployment of analytics assets.
• Data Warehouse Development: Partner and collaborate with IT teams to build and successfully implement HR data warehouse. Develop new data models and manage Referential data.
• Advance Analytics: Design and implement advanced analytics models, including forecasting, predictive, and prescriptive approaches to support data-driven decision-making.
• Data Governance & Quality: Ensure data quality, governance, security and compliance standards in collaboration with enterprise data teams. Analyse, identify and troubleshoot data discrepancies and pro-actively work with HR and functional teams to resolve issues and develop DQ Alerts
• Administer and govern Unity Catalog to maintain consistent data lineage, classification, and access controls across the Databricks ecosystem.
• Data Policy Management: Develop and refine HR data policies, standards, and best practices to strengthen data governance, privacy, and ethical AI use.
• Partner with the HR Employee Experience Lead to drive employee experience and human-centric design in how Etihad people leaders use and interacts with HR reports and workforce decision processes
• Act as a change leader and initiator and effectively utilize change methodologies to design and deploy HR reporting and analytics solutions
• Ensure data quality, governance, and security best practices across all analytics workflows.

Recruitment Process

• The recruitment process for this position will involve the following steps:
• All applications will be reviewed by a human-member of our Recruitment Team
• Shortlisted applicants will be invited to completed a recorded video interview via our third-party platform HireVue. This interview will allow you to record your responses to a range of questions related to the position and will allow you to demonstrate your knowledge and experience in a way that just your CV alone would not be able to. It also ensures fairness for you and all candidates, as all of our shortlisted candidates are asked the same questions and assessed on their responses.
• After a review of completed video interviews, shortlisted candidates will be invited to an initial technical interview with the hiring manager
• Shortlisted candidates will be invited to a 2nd round interview that will comprise the completion and presentation of a short case study related to the position
• Finalists may be invited to a final meeting with the Department Head (availability pending).
• All candidates will be notified as to the status of their application as soon as is possible.

Qualifications

• Bachelor’s degree in computer science, or Business Administration or related discipline
• Minimum 5+ years of working experience in a complex numerate and analytical environment, experience
• Related work experience in defining and deploying workforce analytics and /or management decision support products
• Advanced know how in HR technology and People analytics will be a plus
• 4+ years of experience using database querying tools and ability to write complex queries using Databricks, Azure, SQL and/or Microsoft SQL, Python
• Ability to work with large data sets both structured and unstructured data.
• Analytical and data-focused thinking, demonstrating exceptional attention to detail.
• Expertise in data models, database design development, data mining and segmentation techniques preferred

Additional Information

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