stakeholders to shape data architecture and requirements collaboratively. Craft data models and schemas appropriate data storage solutions, including relational databases, data warehouses, data lakes, and NoSQL Lead the implementation of data governance policies and standards. Uphold data quality and integrity across organisation. Ensure adherence to data security and privacy regulations. Share data architecture strategies with strategic planning and technology selection for data and analytics initiatives. What you need: Bachelor's
individuals operate efficiently and make effective data-driven decisions. They are actively seeking like-minded What you will be doing: Uncover insights through data visualisation for smarter decisions. Streamline Prepare data for analysis and reporting with precision and efficiency. Address various data requests Explore growth opportunities using data-driven approaches. Enhance data quality and delivery speed for better minimum of 1 year of experience is required Proficient in SQL, Python, and data visualisation techniques
marketing teams to identify client needs and create a data-driven roadmap, conducting market research and user Partner with data engineers to define requirements, build data pipelines, and ensure data quality for transform data insights into user-friendly features and innovative solutions. Champion data-driven design based on feedback and data. Manage and prioritise the product roadmap, balancing data insights, business stakeholders. Promote data literacy and foster a data-driven culture, translating complex data analysis into
cutting-edge projects focused on unconventional data solutions. They love innovation and offer a culture Knowledge / experience in the following: Business MetaData Scheduling Data quality and data cleansing (e Real-time applications or web services Data warehousing "Big data" applications Must possess excellent activities. Previous experience / competence in scoping, estimating, requirements capture, project management
Researching problems and developing solutions. Capturing and documenting requirements. Contributing to programming background Skills / Experience: Strong OO implementation skills - experience in designing strong technical
with business analysts, lending your expertise to capture and refine business requirements. Be a valued voice related field. 5 years of software development experience. Proficient in Bash shell scripting and Python expertise Proficiency in process design User experience and user interface design capabilities Familiarity suite applications (Word, Excel, PowerPoint) Experience with Google Suite applications (Forms, Drive collaboration tools like Asana, Slack, and Google Chat Experience with documentation platforms like Confluence
What you will be doing: Dive into diverse client data formats (CSV, XLSX, XML, JSON, etc.) to ensure accuracy solutions on time. Maintain a holistic view of client data and platform capabilities, adapting to diverse needs (XML/JSON). Intermediate or advanced T-SQL development experience. Exceptional communication skills (verbal, written self-improvement and team success. Deep understanding of data structures. Comfortable with JIRA, Confluence, and Proven track record in fostering positive client experiences. Detail-oriented with a knack for grasping complex
use cases, and functional specifications. Perform data analysis to support business decision-making, identifying Relevant Qualifications / Experience: Relevant tertiary qualification. Proven experience as a Business Analyst practices. Experience with business process modelling and analysis tools. Knowledge of data analysis techniques
integrate data, and provide user support Optimise website performance and refine user experience Collaborate usability Provide training and support to users for data interpretation What you need: Tertiary qualification be beneficial 3 years of Shopify development experience, including API, apps, and webhooks Proficiency for backend development and database management Experience with version control tools like Git Familiarity
opportunities. What you will be doing: Dive into client data analysis across various formats (CSV, XLSX, XML Sprint commitments. Embrace a holistic view of client data and platform possibilities, igniting innovation learning are celebrated. Let your solid grasp of data structures guide you to exciting solutions. Collaborate