Jobs at Fractal

Design, build, and operate large-scale data platforms and production ETL/ELT pipelines. Partner with data science, analytics, and business teams; manage cross-functional delivery, QA, observability, data quality, experimentation infrastructure, and statistical model validation. Deploy containerized workloads through Docker, Kubernetes, CI/CD, and Helm. Own data operations, monitoring, incident response, SLAs, runbooks, and pipeline reliability while delivering accurate, scalable, and cost-efficient data assets.

Senior backend (Python) engineer responsible for designing, building and maintaining RESTful backend services and APIs, integrating data science outputs, optimizing performance and multithreading, troubleshooting UAT/integration issues, leading teams, and documenting solutions for enterprise Data-to-Decision systems.

Analyze retail sales, customer, inventory, pricing, promotional, and channel data to identify growth opportunities and improve decision-making. Build dashboards and reporting tools, apply statistical methods and visualization, communicate insights to senior leadership, and collaborate with sales, marketing, product, and retail operations teams. Drive analytics automation and process improvements across omnichannel retail performance.

Lead end-to-end attribution modeling studies, including data discovery, exploratory analysis, model development, insight generation, client communication, and final presentations. Translate business needs into analytical roadmaps, manage solution delivery, ensure quality and timelines, oversee teams, and contribute directly to modeling when needed. The role requires strong attribution modeling expertise, consulting experience, data summarization, presentation development, communication, and team management skills.

Analyze, clean, transform, and visualize data to support business decisions. Build and maintain Power BI or Qlik dashboards, automate ETL and reporting with Python and SQL, validate data integrity, and deliver actionable insights to stakeholders. Apply AI and machine learning techniques for predictive analytics, process optimization, and automation. Collaborate with business, IT, and data engineering teams to improve reporting processes, data architecture, and governance.

Develop and maintain Snowflake data models and scalable ETL/ELT pipelines using AWS S3, REST APIs, and other sources. Manage Snowflake databases, schemas, tables, views, stages, tasks, streams, and procedures. Implement data quality, governance, lineage, metadata management, security, masking, RBAC, and row-level security. Optimize performance, query tuning, clustering, and warehouse sizing, while migrating data from Azure SQL Server to Snowflake.

Develop and maintain frontend and backend components for enterprise Data to Decision systems using React and Python. Integrate data science outputs through REST APIs, create interactive visualizations, collaborate with business and product stakeholders, participate in UAT, troubleshoot application and integration issues, and maintain technical documentation. The role also involves database development, performance optimization, testing, deployment, and infrastructure maintenance.

The Sales Director role is responsible for leading sales efforts and driving business growth in Perth. The description emphasizes customer focus, passion, enthusiasm, and success in a rapidly growing company, but provides no specific duties or qualifications.

Translates business and analytics requirements into technical data architecture specifications and fit-for-purpose solutions. Designs, plans, and guides data integration, modeling, quality, governance, optimization, and analytics platforms across cloud, on-premises, and hybrid environments. Applies software engineering and DevOps practices to automate and improve data flows. Collaborates with IT and business stakeholders, evaluates emerging technologies, manages competing priorities, and supports the evolution of the organization’s data ecosystem.

Analyze P&C insurance marketing, conversion, underwriting, and sales operations. Gather stakeholder requirements, document BRDs, FRDs, process flows, and user stories, and liaise between business and technical teams. Support process improvements, system enhancements, integrations, reporting, and data initiatives. Plan and execute UAT, validate solutions, and triage defects while managing multiple priorities and translating insurance concepts into actionable requirements.

Design, build, and maintain SharePoint Online solutions and SPFx web parts. Integrate SharePoint with Snowflake, SQL, SAS and REST APIs. Create embedded analytics and Tableau dashboards, perform data extraction/validation, ensure secure role-based access, and support recurring and ad-hoc reporting and analytics initiatives.

Develop and operationalize generative AI workflows using Claude Cowork, train business users, facilitate workshops, and support AI adoption across business units. Translate business needs into AI-enabled solutions through prompt engineering, workflow design, testing, and validation. Create reusable templates, playbooks, and best practices while monitoring adoption challenges, prioritizing use cases, and reporting progress to stakeholders.

Manage end-to-end testing across a complex portfolio, including functional, non-functional, integration, operational acceptance, and user acceptance testing. Develop risk-based test strategies, plans, and reports; coordinate offshore testing vendors; manage environments and test data; ensure quality, traceability, compliance, and delivery against time, cost, and quality targets. Lead testing teams, provide technical guidance, report progress and risks, and advise stakeholders across agile and waterfall projects.

The Principal Consultant will lead strategic data modernization and AI programs for enterprise clients, providing architecture guidance and fostering client relationships. Responsibilities include advising on data platforms, overseeing project delivery, identifying business opportunities, and mentoring teams.

Designs and implements end-to-end generative AI and LLM solutions, researches emerging AI techniques, develops supporting libraries and frameworks, and participates in software delivery from design through maintenance. The role applies NLP, computer vision, audio, and multimodal AI methods; uses cloud and open-source platforms; contributes to code reviews and roadmaps; and collaborates with cross-functional teams.

Lead test-and-learn initiatives across insurance products and member experiences. Design experiments, analyze incremental impact using statistical and causal methods, integrate complex data sources, build lifetime value models, and translate findings into actionable business recommendations. Partner with product, marketing, operations, and strategy stakeholders while developing dashboards, documentation, and organizational experimentation capabilities.

Leads acquisition and onboarding funnel analysis using Adobe Analytics and clickstream data. Maps user journeys, identifies abandonment and friction points, builds behavioral segments, performs attribution and multi-touch analysis, and creates dashboards to monitor funnel performance. Translates insights into prioritized optimization recommendations, designs A/B tests, quantifies revenue impact, and collaborates with product, marketing, operations, and technology teams.

Develop functional, visually accurate user interfaces from designs, wireframes, and prototypes. Build responsive, accessible web experiences using HTML, CSS, JavaScript, and modern frameworks. Ensure cross-browser compatibility, collaborate with designers and backend developers, troubleshoot UI issues, provide technical feedback, and maintain pixel-perfect implementation. The role also requires user-centered design awareness, prototyping ability, strong communication, and attention to detail.

Generate outbound demand for ANZ accounts through research, email, phone, and LinkedIn prospecting. Book qualified meetings and event attendees, support opportunity development, prepare client pitches, assist with RFPs and proposals, maintain CRM records, and accelerate pipeline follow-up. The role also supports partner events and requires ongoing learning about Fractal’s data and AI capabilities while working ANZ-aligned hours from Bengaluru.

Lead and run enterprise data governance: develop frameworks, policies, metadata and lineage, lead data quality remediation, define stewardship and ownership, ensure regulatory compliance (GDPR/CCPA), set KPIs, train staff, and manage a governance team.