Dynatrace Innovate faster, operate more efficiently, and drive better business outcomes with observability, AI, automation, and application security in one platform. Dynatrace exists to make software work perfectly. Our platform combines broad and deep observability and continuous runtime application security with advanced AIOps to provide answers and intelligent automation from data. This enables innovators to modernize and automate cloud operations, deliver software faster and more securely, and ensure flawless digital experiences. Job Description The Sr Analytics Engineer will work closely with the People & Culture leadership team to understand their data analytics requirements and develop analytics data models to deliver the required data insights. Working closely with BI Developers and Data Engineers, this role will ensure timely delivery of data models for P&C reporting and analytics. Key Responsibilities: Partner with HR stakeholders to gather and analyze data requirements for various People & Culture reporting dashboards. Analyze data coming from various HR systems such as UKG, SAP SuccessFactors, SmartRecruiters, etc. Using DBT or SQL, create and maintain robust data models to support analytics reports for the P&C team. Ensure data integrity and consistency, while safeguarding sensitive information using effective data masking policies. Collaborate with the Governance team to ensure data processes adhere to policies, procedures, and regulatory requirements. Document technical solutions, processes, and various data artifacts. Qualifications Previous experience in People Analytics is highly desirable. Advanced experience with SQL, PowerBi and/or Tableau are essential. Experience with Snowflake (or similar such as AWS or Google) and DBT would be advantageous. Knowledgeable about data warehousing, modeling, and reporting concepts. Experience with Fivetran, Boomi, Github, JIRA are desirable. Experience with SAP SuccessFactors or similar HCMs is preferred. Must have experience in analyzing, manipulating, and dealing with large scale data. Excellent analytical and problem-solving skills, with a commitment to high-quality analytics deliverables. Competent verbal and written communication and presentation skills, with the ability to convey complex concepts to both technical and non-technical audiences. Ability to work independently as well as in a team setting. Able to work as a business partner to People and Culture and demonstrate ability to collaborate effectively.
#J-18808-Ljbffr