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Deliverect As a rapidly scaling global SaaS unicorn, Deliverect stands at the forefront of revolutionising technological solutions for the dynamic hospitality and Q commerce sectors. Our mission is clear: to empower ambitious individuals with the skills and knowledge to make a positive impact on business. Developing in their professional careers, all the while being a part of something larger than themselves.
Department Focus: At the heart of Deliverect beats the powerhouse known as Cloud Platform. We don''t just offer a platform; we provide a reliable, scalable, and secure engine propelling businesses towards delivering the ultimate customer experience. Picture us as a squad of highly skilled engineers and architects, fuelled by a passion for crafting innovative and customer centric solutions. Our relentless pursuit involves constant refinement and the infusion of new features into our platform, all designed to propel our customers towards unparalleled success. In today''s fiercely competitive landscape, businesses must navigate a robust cloud software system. Enter our realmwe are the leaders on this mission. Our dedicated team is committed to aiding our loyal users in achieving their business goals and, in turn, providing their customers with a leading edge ordering experience. We thrive in the realm where cutting edge technology meets a commitment to excellence, ensuring that every interaction, every order, and every experience is nothing short of extraordinary.
Your Impact: You''ll be at the forefront of leveraging data for decision making and business optimisation, building scalable infrastructure, and delivering impactful analytics solutions. This is your opportunity to enhance our data capabilities and contribute to our continued success. A Data Analyst at Deliverect has several key responsibilities, primarily centered around bridging the gap between data engineering and business intelligence.
A Typical Day:
1. Data Modelling and Transformation: Designing, developing, and maintaining models to transform raw data into structured, analytics ready datasets. This involves working with tools like DBT.
2. Dashboard Creation and Management: Building and managing dashboards to facilitate self service analytics for various teams within the organisation.
3. Data Pipeline Collaboration: Working closely with data engineers to define data pipelines, ingestion strategies, and data governance policies.
4. Data Quality Assurance: Ensuring data quality, reliability, and consistency through robust testing and monitoring processes.
5. Cross functional Partnership: Collaborating with other teams (Product, Marketing, Sales, Operations) to understand their needs and provide actionable insights and analysis.
6. Continuous Improvement: Continuously improving the data stack, best prac