Found.dev
Role Highlights
Languages used
Python
SQL
Key skills
AI
Data Engineer
Data Infrastructure
Applied ML
API
Data Processing
Data Quality
Data Warehousing
Embedded
Operations
Reliability
Modelling
DataSets
Routing
CRM
Cloud
Operators
Tools, Libraries and Frameworks
SnowFlake
PostGres
Looker
AD
Description
The role involves owning and scaling an end-to-end revenue data stack. The individual will build and maintain data pipelines while managing a data warehouse. Responsibilities include designing data models, creating dashboards for leadership, and delivering analysis to support go-to-market decisions. The position also entails building systems for lead management and developing predictive models to influence revenue outcomes.
Required Qualifications and Skills
The role requires strong proficiency in SQL, Python, and data warehousing, with a preference for Snowflake and dbt experience. Candidates must possess knowledge of PostgreSQL and BI tools such as Looker, alongside familiarity with CRM and revenue data. The ability to build clean, analytics-ready datasets is essential. No specific degree or professional qualification is explicitly mandated.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Xplor Technologies
Description
Xplor Technologies is a global company providing a platform that integrates SaaS solutions, embedded payments, and Commerce Accelerating Technologies to help businesses succeed. They offer enterprise-grade SaaS solutions to the Childcare & Education, Fitness & Wellbeing, Field Services, and Personal Services verticals. With over 78,000 customers, the company processed over $36 billion in payments and operated across 20 markets in 2022. Xplor prides itself in being an equal opportunity employer and is part of the 2023 Circle Back Initiative.