People Analytics Engineer

Dating app company focused on empowering women to make the first move in online dating and networking.
$93,000 - $137,000
Data
Mid-Level Software Engineer
Hybrid

Description For People Analytics Engineer

Bumble is seeking an experienced People Analytics Engineer to strengthen its analytics engineering function. This role is crucial in modernizing their data stack and building robust data infrastructure. The position focuses on designing creative solutions that balance in-house and external tools to drive data governance, quality, and availability, specifically in People/workforce analytics.

The ideal candidate will be responsible for developing and maintaining data models that follow best practices, working closely with data engineering teams, and optimizing reporting systems. They will serve as a bridge between technical and business requirements, ensuring smooth communication and implementation of data solutions.

This role offers an opportunity to work with cutting-edge data tools and technologies, including dbt, airflow, and various visualization platforms. The position requires expertise in SQL and Python, along with strong communication skills to work with both technical and non-technical stakeholders.

Working at Bumble means joining an inclusive environment that values diversity and encourages applications from people of all backgrounds. The company offers competitive compensation and comprehensive benefits, including medical coverage and unlimited PTO. This hybrid role in New York City provides the perfect balance of flexibility and in-person collaboration.

The successful candidate will play a key role in shaping how Bumble uses data to make better decisions in their people operations, making this an excellent opportunity for someone passionate about data analytics and its application in HR and talent management.

Last updated 3 months ago

Responsibilities For People Analytics Engineer

  • Deliver robust data model following best practices and frameworks
  • Partner with data engineering and ETL teams
  • Optimize reporting and align stakeholders on metrics definitions
  • Act as translator between business and analyst requirements
  • Serve as data steward for governance and maintenance
  • Design and architect business logic and data models
  • Collaborate with stakeholders to understand processes and deliver datasets
  • Provide specialized training to stakeholders
  • Transform normalized database into consumer facing data infrastructure

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
  • Ability to manipulate large datasets
  • Knowledge of design thinking & agile methodologies
  • Experience with Workday, Lever or other HCM and ATS
  • Experience with Version Control software (git)
  • Strong communication skills
  • Ability to explain complex processes to technical and non-technical stakeholders

Benefits For People Analytics Engineer

Medical Insurance
Dental Insurance
Vision Insurance
401k
  • Unlimited Paid Time Off Policy

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