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Premium Employer

Apple

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4.3

based on 532 Reviews

182 Apple Jobs

People Analytics Engineering Manager

Apple India Pvt Ltd

4.3

based on 532 Reviews

6-10 years

Bangalore / Bengaluru

1 vacancy

People Analytics Engineering Manager

Apple

posted 8hr ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analytics Python SQL Automation Testing Analytical Chemistry CCTV Monitoring

+ 4 more

Job Description

- Lead, develop and manage a team of engineers to design, build, and maintain data pipelines, ensuring data is available and accessible to all stakeholders.- Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data.- Collaborate with people analytics team members and cross-functional teams to deeply understand data requirements, business processes and source systems data that will enable delivery of projects in a timely manner.- Establish processes to ensure engineering excellence, high data quality, reliability, and efficiency of analytical products by conducting code reviews and data validations.- Ensure high availability of data systems through monitoring, alerting, and on-call rotations as necessary.- Co-own a portfolio of data products, ensuring our Design Process and Design System is followed across developers.- Drive innovation and automation in data processes to optimize data flow, reduce latency, and improve data quality.- Mentor and grow the team, fostering a culture of learning, continuous improvement, and collaboration.

8+ years of experience in analytics engineering and solutions.
2+ years management experience leading Data Analytics teams.
Strong SQL skills, ability to perform effective querying involving multiple tables and sub-queries.
Extensive experience and knowledge using analytical reporting tools with specific emphasis on Tableau.
Technical proficiency in advanced statistics, modeling knowledge, data visualization (e.g., Tableau), relational databases, and/or Python.
Strong problem solving, quantitative and analytical abilities.
Strong understanding of cloud platforms (AWS), data warehousing solutions (Snowflake) and data modeling and analytics workflows and development (Dbt, CICD, etc)
Excellent collaboration and communication skills to partner cross-functionally across engineering teams and business teams.
Strong ability to plan and manage numerous processes, people and projects simultaneously.