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

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