Business Analytics Lead-Must have exp in Sigma Computing / Sigma Analytics.

Renaissance Infosystems Pte Ltd; Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

Renaissance Infosystems Pte Ltd in Melbourne seeks a Business Analytics Lead with strong Sigma Computing / Sigma Analytics experience. You will be the Sigma technical and analytics specialist, building dashboards and reports on Snowflake and turning business questions into meaningful analytics.

Collaborate with data engineers, governance, and business stakeholders to enable self-service analytics while maintaining consistency and quality.

Qualifications

• Strong hands-on experience with Sigma Computing / Sigma Analytics.
• Advanced SQL skills.
• Solid understanding of data modelling and analytics datasets.

Responsibilities

• Serve as Sigma technical and analytics specialist for business users.
• Build Sigma workbooks, dashboards, reports on Snowflake.
• Collaborate with engineers and governance teams on data needs.

Skills

Sigma Computing

SQL

Snowflake

Data modelling

Data analysis

Business context

Dashboards

Self-service analytics

Templates & standards

Tools

Sigma Analytics

Tableau

Snowflake

Job description

Business Analytics Lead-Must have exp in Sigma Computing / Sigma Analytics.

• Serve as the primary Sigma technical and analytics specialist, supporting a growing community of business users.
• Build Sigma workbooks, dashboards, reports, and reusable analytics assets on Snowflake.
• Turn business questions into meaningful analytics rather than simply translating requirements into dashboards.
• Apply a strong understanding of data models, relationships, business definitions, and context to deliver accurate, trusted analytics.
• Create reusable templates, design patterns, and standards to accelerate Sigma adoption.
• Establish consistent development standards and best practices across Sigma assets.
• Work directly with business users to understand how they explore and consume data, maintaining a strong user-centric approach.
• Collaborate with data engineers, analysts, governance teams, and business stakeholders on data and analytics needs.
• Enable self-service analytics while maintaining consistency, quality, and maintainability.
• Identify opportunities to simplify existing analytics and improve the user experience.
• Where needed, support the transition or rationalisation of Tableau reporting and analytics into the evolving Sigma environment.

Business Analytics Lead

Location: Melbourne

Key Responsibilities

• Serve as the primary Sigma technical and analytics specialist, supporting a growing community of business users.
• Build Sigma workbooks, dashboards, reports, and reusable analytics assets on Snowflake.
• Turn business questions into meaningful analytics rather than simply translating requirements into dashboards.
• Apply a strong understanding of data models, relationships, business definitions, and context to deliver accurate, trusted analytics.
• Create reusable templates, design patterns, and standards to accelerate Sigma adoption.
• Establish consistent development standards and best practices across Sigma assets.
• Work directly with business users to understand how they explore and consume data, maintaining a strong user-centric approach.
• Collaborate with data engineers, analysts, governance teams, and business stakeholders on data and analytics needs.
• Enable self-service analytics while maintaining consistency, quality, and maintainability.
• Identify opportunities to simplify existing analytics and improve the user experience.
• Where needed, support the transition or rationalisation of Tableau reporting and analytics into the evolving Sigma environment.

Required Skills

Must Have

• Strong hands-on experience with Sigma Computing / Sigma Analytics.
• Advanced SQL skills.
• Strong working knowledge of Snowflake.
• Solid understanding of data modelling, relationships, dimensional concepts, and analytical datasets.
• Strong data analysis and problem-solving skills.
• Ability to interpret data in its business context, not just through visualisation.
• Experience building dashboards, reports, and self-service analytics solutions.
• Strong user-centric thinking and ability to work directly with business users.
• Ability to establish templates, standards, reusable patterns, and development practices.

Good to Have

• Experience with Tableau, especially in environments using both Tableau and Sigma.
• Experience rationalising or modernising legacy BI and reporting environments.
• Understanding of data governance, data quality, and analytics governance.

Experience supporting a self-service analytics operating model