Technical Lead - Data Analytics

Who we are?

Headquartered in Perth, Australia, with offices globally including in Colombo, Sri Lanka, Qoria is an ASX listed global leader in child digital safety technology and services. We are a purpose-driven business, operating under the ‘Linewize’ brand in North America and Asia Pacific, the ‘Smoothwall’ brand in the UK, 'Octopus BI' in Sri Lanka and the ‘Qoria’ brand in EMEA. Our solutions are utilised by schools, school districts, and parental communities to protect children from seeing harmful content online, identify children at risk based on their digital behaviours and ensure teachers maintain focus and safe learning in the digital classroom. 30.000 schools and 7 million parents depend on our solutions to keep 25 million children safe in 180 countries around the world.

What’s the opportunity?
We're looking for a highly skilled and experienced Technical Lead to guide our Data Analytics team. In this pivotal role, you'll be at the forefront of developing our in-house data visualization tool and driving AI-powered product delivery. You'll serve as the crucial link between stakeholder requirements and technical execution, ensuring our solutions are innovative, effective, and meet business needs.

• Lead Product Development: Spearhead the design, development, and deployment of our in-house data visualization tool and other AI-based data products.

• Technical Vision & Strategy: Define and articulate the technical roadmap for data analytics initiatives, ensuring alignment with overall business objectives.

• Stakeholder-Development Liaison: Translate complex business requirements from stakeholders into clear, actionable technical specifications for the development team. Facilitate effective communication and collaboration between these groups.

• Team Leadership & Mentorship: Provide technical guidance, mentorship, and support to a team of data engineers and developers. Foster a collaborative and high-performing team environment.

• Architectural Design: Design robust, scalable, and efficient data architectures leveraging Google Cloud products and SQL databases.

• Code Quality & Best Practices: Ensure adherence to coding standards, best practices, and perform code reviews to maintain high-quality deliverables.

• Project Management: Utilize project management tools like JIRA and Confluence to manage project timelines, track progress, and ensure timely delivery of solutions.

• Problem Solving: Proactively identify and resolve technical challenges, bottlenecks, and issues that may arise during the development lifecycle.

• Innovation & Research: Stay abreast of emerging trends and technologies in data visualization, AI/ML, and cloud computing, evaluating their potential application within our ecosystem.

Qualifications

• Experience: Proven experience of 10-15 years, of which at least  6 years in a technical leadership role within a data analytics or data engineering domain.

• Technical Proficiency:

• Deep expertise in Google Cloud Platform (GCP) services relevant to data analytics (e.g., BigQuery, Dataflow, Vertex AI, Looker, Cloud Storage).

• Strong proficiency in SQL and experience with various relational and non-relational databases.

• Experience with programming languages commonly used in data science and engineering (e.g., Python, Java, Go).

• Familiarity with AI/Machine Learning concepts and their practical application in product development.

• Data Visualization: Hands-on experience with data visualization tools like Power BI, Tableau, Looker studio etc, with a strong understanding of best practices for effective data storytelling.

• Project Management Tools: Well-versed in using JIRA, Confluence, and similar tools for agile project management, issue tracking, and documentation.

• Communication & Leadership: Excellent communication, interpersonal, and leadership skills with the ability to articulate complex technical concepts to non-technical stakeholders.

• Problem-Solving: Strong analytical and problem-solving abilities, with a keen eye for detail.

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.

Bonus Points

• Experience building and maintaining in-house data platforms or products.

• Familiarity with DevOps practices and CI/CD pipelines in a cloud environment.

• Contributions to open-source projects or a strong portfolio of personal projects.
  
  If you are passionate about data and looking for an opportunity to work on impactful projects, apply now!