Deliverect
Food and Beverage • SaaS • eCommerce
Deliverect is a global technology company providing seamless integrations and solutions for restaurants and grocery businesses to manage their online orders efficiently. The company offers a variety of services including centralized order management, menu management, and multi-platform integrations to enhance productivity and customer satisfaction. Deliverect works with a wide range of partners, including popular delivery platforms and POS systems, to help businesses streamline their operations and boost sales. With a strong focus on food tech, Deliverect drives innovation in online ordering and delivery processes to support business growth across over 52 countries.
Analytics Engineer
Job not on LinkedIn
October 3
Deliverect
Food and Beverage • SaaS • eCommerce
Deliverect is a global technology company providing seamless integrations and solutions for restaurants and grocery businesses to manage their online orders efficiently. The company offers a variety of services including centralized order management, menu management, and multi-platform integrations to enhance productivity and customer satisfaction. Deliverect works with a wide range of partners, including popular delivery platforms and POS systems, to help businesses streamline their operations and boost sales. With a strong focus on food tech, Deliverect drives innovation in online ordering and delivery processes to support business growth across over 52 countries.
📋 Description
• Design, develop, and maintain data models using tools like DBT to transform raw data into structured, analytics-ready datasets, ensuring accuracy and optimal performance for downstream consumption • Build and manage insightful and reliable dashboards to facilitate self-service analytics for Product, Marketing, Sales, and Operations teams, enabling data-driven decision-making across the organisation • Partner with cross-functional teams (Product, Marketing, Sales, Operations) to deeply understand their business needs, providing actionable insights and deep-dive analysis to drive business optimisation and support strategic projects. • Collaborate closely with Data Engineers to define data pipelines, establish ingestion strategies, and implement robust data governance policies. • Ensure data quality, reliability, and consistency through rigorous testing, monitoring, and validation processes, proactively identifying and resolving data discrepancies. • Propose and implement continuous improvements to the data stack, enhance best practices, and maintain clear, up-to-date documentation.
🎯 Requirements
• 3+ years of experience in analytics, data engineering, or a similar data-focused role, preferably in a high-growth SaaS environment. • Strong expertise in SQL, with practical experience working with large datasets (experience with BigQuery is ideal). • Proven experience with data modelling and transformation tools like DBT, demonstrating an understanding of data pipeline orchestration and ETL concepts. • Strong problem-solving skills and the ability to work effectively and communicate clearly with both technical and non-technical teams. • A strong sense of ownership, quick learning ability, and a proactive approach to adapting to new challenges and technologies. • Experience with data governance, testing, and monitoring best practices. • Formal education in Computer Science, Data Science, or a related quantitative field, or equivalent work experience. • Highly Desirable Skills: Experience with Python for data scripting and automation, proficiency in a visualisation tool like Looker, and knowledge of cloud platforms (GCP ideally).
🏖️ Benefits
• Fast-growing SaaS scale-up that’s been named “unicorn” • Learning budget and pathways • Paternity / Maternity policies • Enhanced holiday or vacation entitlement • Flexibility around working hours, locations and office days • Diverse international team; regular company and team events • Transparency and visibility on company vision, strategy, roadmap and progress • Constant innovation on products, with weekly releases, constant new features and incremental optimisations • Opportunity to be a part of solving some of the biggest challenges facing the global food tech industry • Equal Opportunities • Inclusive and diverse workplace
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