Jobs at Fractal Analytics

• Bachelor’s degree in data management, computer science, information systems, mathematics, data/analytics or a related field preferred or equivalent work experience
• At least 3-4 years of work experience in data management disciplines including data integration, data modeling, solutions architecture, optimization and data quality

• Analyze marketing operations, conversion funnel, underwriting operations, etc. Support initiatives related to conversion optimization, underwriting & sales performance, etc.
• Gather and document requirements for any analysis/data requirement from business stakeholders. Act as a liaison between business users and technical teams for data and analysis.

• Strong command of Figma, Sketch, and/or Adobe XD
• Solid grasp of typography, layout, color theory, and branding

• A deep understanding and practical experience with HTML, CSS, and JavaScript are fundamental. These are the building blocks for creating web interfaces.
• Experience with modern JavaScript frameworks and libraries such as React, Angular, or Vue.js is often required, as they streamline development and enhance interactivity.

• Excellent understanding of SDLC processes and managing and executing medium to large size complex Cloud based projects (preferably AWS) leveraging SCRUM methodology
• Excellent written, communication, and presentation skills

• Own delivery and delivery-led growth for Fortune 50 Hi-tech accounts, driving multi-million annual consulting and delivery revenue
• Lead large, often cross-functional AI, Analytics & Engineering initiatives, including AI-foundations work in engineering, Agentic AI solutions powering business transformation and building enterprise systems powering end-to-end decisioning & workflow transformation

• Lead and manage end-to-end project delivery with a focus on governance and Agile practices.
• Define project scope, goals, and deliverables in collaboration with stakeholders.

• Design and develop production-grade AI applications using the Cogentiq platform.
• Deploy enterprise AI solutions from proof of concept to production.

• As the MLOps leader, S/he will support client projects, lead solution design, and contribute to the overall MLOps engineering using on-premise (open-source) or cloud-based (AWS) architectures
• Act as a subject matter expert in machine-learning model deployment and MLOps pipelines – strong understanding of Machine-learning model building lifecycle, deployment, monitoring and production

• Own the AI Engineering growth agenda, qualified pipeline, bookings, revenue, and profitable expansion across assigned strategic accounts.
• Develop and sustain trusted-advisor relationships with CIOs, CTOs, CDOs, Chief Digital Officers, business presidents, and senior technology leaders across multiple buying centers.

• Design and govern enterprise ontologies for insurance concepts such as policies, claims, coverages, parties, products, risks, and losses.
• Develop semantic models using RDF, OWL, and JSON-LD to support analytics, AI, search, and automation use cases.

• Own the product backlog for one or more AI-powered commercial tools — writing user stories, defining acceptance criteria, and prioritizing sprint scope
• Act as the primary liaison between client business stakeholders and the delivery/engineering team

• Design and develop production-grade AI applications using the Cogentiq platform.
• Deploy enterprise AI solutions from proof of concept to production.

• Strategically drive new business in select TMT accounts in close synergy with the Solution teams and core account teams to manage assigned services sales and margin targets.
• Position Fractal solutions to meet client requirements and become a trusted advisor for services by effectively managing multi-threaded client relationships.

• Design intuitive and responsive App user interfaces using Power Apps.
• Create wireframes, mockups, and interactive prototypes for business applications.

• Strategically drive new business in a healthcare account in close synergy with Solution & Delivery teams to manage assigned sales and margin targets.
• Connect the dots across the client company performance, operating model, internal value chains and industry knowhow (healthcare). Draw implications to account strategy, basis clients’ ongoing divisional shifts.

• Architect end-to-end data and analytics solutions on Azure and Databricks.
• Design scalable data platforms supporting batch, streaming, and real-time analytics workloads.

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

• Serve as the primary point of contact and trusted advisor for key healthcare clients
• Develop and nurture strong, long-lasting relationships built on a deep understanding of client needs and objectives

• Partner with business stakeholders, capability owners, product owners, and SMEs to identify high-value GenAI and automation use cases across healthcare and medtech service lines.
• Run discovery workshops, process walkthroughs, and requirements sessions to understand business pain points, workflows, user journeys, and success metrics.