Data Analytics Manager

2025-01-11
Worldwide
Kalibri Labs
We are looking for a Data Analytics Manager who is passionate about leading a team responsible for building and enhancing complex data processing pipelines. The manager will work with a cross-functional team to build and implement Kalibri's entity resolution engine, construct a continuously operating data pipeline, release iterative improvements to the data system, and ensure the highest levels of data quality and accuracy.

Responsibilities

Advances Kalibri's mission through the design and execution of a new data pipeline that improves data quality, processing speed, and automates existing manual processes
Manage data projects and lead a mission-focused team to ensure successful execution against product roadmap
Define and implement team SLAs and KPIs around data quality and data delivery
Define SOPs for a team including new data processes and resolving production data issues
Act as the primary domain expert for Kalibri's core hotel data
Directly manage a growing cross-functional team of 2-4 data engineers and analysts
Mentors direct reports to develop skills in designing data systems, improving data processes, and creating data analyses


Skills & Requirements

5+ years in building data processes and 2+ years of experience on leading cross-functional teams responsible for implementing data processes
Demonstrated production ability to design, implement, and improve complex data processes with entity resolution, governance, lineage, aggregation, and optimization
Strong background in analytics tools and software (e.g. SQL, Python, Looker, Excel)
Demonstrated ability to design, build, and maintain high quality data processing systems
Proven ability to independently solve ambiguous problems and have ownership of a complex data system
Skilled at communicating and collaborating with a variety of stakeholders at all levels of an organization, including data analysts, data engineers, product, customer success, and data science
Experience in Agile or Scrum Methodologies
Bachelor's degree in Business Administration, Information Technology, Computer Science, or relevant experience