Analytics Engineer (GCP)

NTT DATA, Inc.; Sydney; Hybrid; AUD 140,000 - 190,000; Full time

Job summary

NTT Data is seeking an Analytics Engineer to advance our Looker semantic layer, deliver governed metrics, and enable natural-language analytics in a modern cloud data ecosystem.

You will work with data engineers and business stakeholders to translate requirements into scalable LookML models and trusted analytics experiences, in a hybrid role with onsite and remote collaboration.

Qualifications

• Hands-on Looker development experience required.
• Strong SQL skills in BigQuery environments.
• Experience with semantic layers and governed metrics.
• Excellent stakeholder communication and collaboration.

Responsibilities

• Develop and maintain LookML models, views, dimensions, measures, joins, and Explores.
• Contribute to a governed semantic layer with consistent business definitions and KPIs.
• Translate reporting requirements into scalable analytics solutions for business users.
• Support conversational analytics including natural-language querying and AI-driven experiences in Looker.
• Enhance metadata and semantic model context to improve analytics adoption and AI accuracy.
• Optimize Looker and BigQuery performance via data modelling and query tuning.
• Support governance, security, testing, release management, and platform enhancements.

Skills

Looker

LookML

BigQuery

SQL

Semantic models

Stakeholder engagement

Tools

Gemini in Looker

Job description

Role Title: Analytics Engineer (GCP) - Semantic Layer & Conversational Analytics

Start Date: ASAP

Duration: 12-Month Contract (High Possibility of Extension)

Working Flexibility: Hybrid (3 Days in Onsite)

NTT Data is seeking an experienced Analytics Engineer with strong Google Cloud Platform (GCP) and Looker expertise to support the development of governed analytics solutions within a modern cloud data ecosystem. This role will focus on building and enhancing the Looker semantic layer, enabling trusted self-service reporting, and supporting conversational analytics capabilities that allow business users to interact with data through natural language. Working closely with data engineers, analytics teams, and business stakeholders, you will help translate business requirements into scalable LookML models, trusted metrics, and intuitive AI-enabled analytics experiences.

Is innovation part of your DNA? Do you want to enable a connected future for people, organizations, and society?

Join our growing global NTT team and you’ll be part of the world’s largest ICT company (by revenue). We’ve combined the capabilities of 28 remarkable companies to become one, leading technology services provider. Together, we help our people, clients, and communities do great things with technology to create a more secure and connected future. We employ 40,000 people across 57 countries. By bringing together the world’s best technology companies and emerging innovators, we work together to deliver sustainable outcomes to businesses and the world. Innovation is part of our DNA. We believe it’s key to what makes us different. So, we strive to move forward, challenge the status quo, and drive excellence through the technologies we integrate and the services we deliver around the world. The result is connected cities, connected factories, connected healthcare, connected agriculture, connected conservation, connected mobility, and connected sport. Together we enable the connected future.

Key Responsibilities

• Develop and maintain LookML models, views, dimensions, measures, joins, and Explores to support enterprise reporting and analytics.
• Contribute to a governed semantic layer that provides consistent business definitions, KPIs, and reporting metrics.
• Partner with business stakeholders to translate reporting requirements into scalable and reusable analytics solutions.
• Support conversational analytics capabilities, including natural-language querying and AI-driven data experiences within Looker.
• Enhance metadata, business terminology, documentation, and semantic model context to improve analytics adoption and AI response accuracy.
• Optimize Looker and BigQuery performance through efficient data modelling, query tuning, and warehouse design best practices.
• Support governance, security, testing, release management, documentation, and ongoing platform enhancements.

Skills & Experience

• Strong previous experience working as an Analytics Engineer, BI Developer, or Data Analytics Consultant with hands-on Looker expertise.
• Solid experience developing LookML models, Explores, views, dimensions, measures, joins, and derived tables.
• Strong SQL capabilities with practical experience working in BigQuery environments.
• Good understanding of semantic layers, governed metrics frameworks, and reusable analytics models.
• Experience with dimensional modelling, star schemas, fact and dimension tables, and analytical data structures.
• Exposure to Gemini in Looker, conversational analytics, natural language querying, or AI-driven analytics capabilities.
• Strong stakeholder engagement and communication skills with the ability to work across technical and business teams.

Questions? Reach out: [e-mail]