Analytics / Data Visualisation & App Engineer

As an Analytics / Data Visualisation & App Engineer at our company, your role will involve converting curated Snowflake datasets into actionable insights, dashboards, and lightweight data applications. You will be responsible for bridging the gap between data engineering and business users, with a focus on usability, clarity, and adoption. The ideal candidate for this position should possess strong skills in SQL, data visualisation, and analytics app development, particularly using Streamlit or similar tools. Key Responsibilities: - Design and maintain semantic data models and KPIs - Build dashboards and reports using BI tools or Streamlit-based apps - Ensure metric consistency and accuracy across analytics assets - Translate business requirements into intuitive analytics solutions Data Applications & Self-Service: - Develop Streamlit-based internal data applications - Enable SQL-based self-service analytics and ad-hoc exploration - Build reusable analytics templates and components - Support programmatic data access using Snowflake SQL APIs Advanced Analytics & AI Support: - Prototype analytics use cases using Snowflake Cortex / Analyst - Support AI-assisted querying and natural language analytics - Collaborate with architects on future analytics capabilities Quality, Performance & Usability: - Validate dashboards against trusted datasets - Optimize queries and dashboards for performance - Gather feedback and continuously improve analytics experiences Qualifications Required: - Strong SQL skills - Experience with data visualisation tools such as Power BI, Tableau, or similar - Hands-on experience with Streamlit or analytics app frameworks - Solid understanding of KPIs and data modelling Preferred Skills: - Snowflake semantic modelling experience - Familiarity with Snowflake Cortex / Analyst - Enterprise analytics delivery experience In addition to the exciting responsibilities and qualifications required for this role, you will also have the opportunity to enjoy the following perks and benefits: - Direct exposure to business stakeholders - Work on real-world, decision-driving analytics - Opportunity to build data apps, not just dashboards - Stable long-term engagement Join us in this dynamic role where you can leverage your skills in analytics, data visualisation, and app development to drive impactful insights and solutions for our organization. As an Analytics / Data Visualisation & App Engineer at our company, your role will involve converting curated Snowflake datasets into actionable insights, dashboards, and lightweight data applications. You will be responsible for bridging the gap between data engineering and business users, with a focus on usability, clarity, and adoption. The ideal candidate for this position should possess strong skills in SQL, data visualisation, and analytics app development, particularly using Streamlit or similar tools. Key Responsibilities: - Design and maintain semantic data models and KPIs - Build dashboards and reports using BI tools or Streamlit-based apps - Ensure metric consistency and accuracy across analytics assets - Translate business requirements into intuitive analytics solutions Data Applications & Self-Service: - Develop Streamlit-based internal data applications - Enable SQL-based self-service analytics and ad-hoc exploration - Build reusable analytics templates and components - Support programmatic data access using Snowflake SQL APIs Advanced Analytics & AI Support: - Prototype analytics use cases using Snowflake Cortex / Analyst - Support AI-assisted querying and natural language analytics - Collaborate with architects on future analytics capabilities Quality, Performance & Usability: - Validate dashboards against trusted datasets - Optimize queries and dashboards for performance - Gather feedback and continuously improve analytics experiences Qualifications Required: - Strong SQL skills - Experience with data visualisation tools such as Power BI, Tableau, or similar - Hands-on experience with Streamlit or analytics app frameworks - Solid understanding of KPIs and data modelling Preferred Skills: - Snowflake semantic modelling experience - Familiarity with Snowflake Cortex / Analyst - Enterprise analytics delivery experience In addition to the exciting responsibilities and qualifications required for this role, you will also have the opportunity to enjoy the following perks and benefits: - Direct exposure to business stakeholders - Work on real-world, decision-driving analytics - Opportunity to build data apps, not just dashboards - Stable long-term engagement Join us in this dynamic role where you can leverage your skills in analytics, data visualisation, and app development to drive impactful insights and solutions for our organization.