People Analytics Engineer

Dating app company focused on empowering relationships with a women-first approach
Data
Mid-Level Software Engineer
Hybrid
Enterprise SaaS

Description For People Analytics Engineer

Bumble is seeking an experienced People Analytics Engineer to join their expanding analytics engineering function. This role is crucial in building out their data infrastructure and modernizing their data stack, with a specific focus on People and workforce analytics. The position offers an opportunity to work with cutting-edge data technologies while designing creative solutions that balance bespoke in-house solutions with external tools.

The ideal candidate will be responsible for developing robust data models, partnering with data engineering teams, and serving as a key translator between technical and business requirements. They will play a vital role in data governance, quality, and availability, while optimizing reporting processes and ensuring consistency in data sources.

This role combines technical expertise with business acumen, requiring proficiency in SQL, Python, and modern data tools like dbt, airflow, and various visualization platforms. The position offers the opportunity to work in a diverse, inclusive environment at a company that's revolutionizing the online dating industry.

The successful candidate will have the chance to make a significant impact on Bumble's data infrastructure while working with a variety of stakeholders across the organization. They will be instrumental in shaping how the company uses data to make better decisions about its workforce and operations.

Working in a hybrid setting in London, this role offers the perfect blend of technical challenges and business impact, making it an ideal opportunity for a data professional looking to advance their career in a dynamic, mission-driven company.

Last updated 31 minutes ago

Responsibilities For People Analytics Engineer

  • Deliver robust data models following best practices and frameworks
  • Partner with data engineering and ETL teams to translate technical requirements
  • Optimize reporting and align stakeholders on metric definitions
  • Act as translator between business and analyst requirements
  • Serve as data steward for governance, maintenance, and scalability
  • Develop analytical solutions to drive business growth
  • Collaborate with stakeholders to understand organizational processes
  • Provide specialized training to stakeholders
  • Design and implement data infrastructure and modernize data stack

Requirements For People Analytics Engineer

Python
  • Experience with data visualization and transformation tools (dbt, airflow, fivetran, tableau/powerbi/looker)
  • Extensive experience with dbt and data transformation
  • Expert in SQL and Python
  • Experience with documentation using Jira, Confluence
  • Strong project management skills
  • Knowledge of design thinking & agile methodologies
  • Experience with Workday, Lever or other HCM and ATS systems
  • Version Control software experience (git)
  • Ability to manipulate large datasets
  • Strong communication skills

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