3 Analytics Systems Jobs

About Firebolt Firebolt is the Cloud Data Warehouse designed to handle the speed, scale, and flexibility of AI applications. By delivering ultra-low latency, high concurrency, multi-dimensional elasticity, and flexibility, Firebolt empowers organizations to build data-intensive AI applications that perform at scale. With over $270m in funding to date, a strong engineering team and highly experienced leadership, Firebolt is well positioned to revolutionize the AI data infrastructure space and help businesses unlock the full potential of their data. About the role Were looking for a Product Engineer who thrives at the intersection of engineering and storytelling. In this role, youll be responsible for helping data engineers and developers deeply understand what makes Firebolt unique and how to use it to build sub-second analytics experiences at scale. Youll bring a strong technical foundation and real-world experience building analytics or data-intensive applications. Youll use that expertise to craft high-quality content and experiences that resonate with a deeply technical audience - across formats like blog posts, demos, videos, documentation, and conference talks. This role is ideal for someone who wants to stay close to the product and technology, while shaping how it is experienced and understood by the outside world. Youll work cross-functionally with product, engineering, marketing, and customer-facing teams to translate technical capabilities into clear, compelling narratives. What youll do Build demos, apps, and technical content that help customers see whats possible with Firebolt and how to use it to deliver ultra-fast, scalable analytics. Help shape how we talk about Firebolt to developers and data engineers translating technical features into real-world use cases that resonate. Partner with Product and Engineering to stay ahead of upcoming releases and ensure our documentation, demos, and messaging are ready to support them. Collaborate with Marketing and Sales to create assets that help users understand Firebolts value and get started quickly whether theyre evaluating the product, using it in production, or building apps on top. Contribute to our presence in the data and developer ecosystem by speaking at events, publishing technical content, or engaging with users in forums and Slack. Act as a voice for the developer bringing feedback from the field into product discussions and helping Firebolt stay grounded in real-world needs. Requirements 5+ years in engineering, solutions engineering, solution architect roles. Proven experience building production-grade analytics systems, data pipelines, or data applications. Strong understanding of modern data infrastructure, with hands-on experience using cloud data warehouses and/or data lakes. Fluent in SQL, and comfortable with performance optimization and data modeling. Excellent written and verbal communication skills, with the ability to translate complex technical topics into engaging content. Experience creating developer-facing content such as technical blogs, demo apps, product tutorials, or internal enablement. Self-starter with strong project management skills and the ability to lead initiatives from concept to execution. Collaborative team player who enjoys working across disciplines and contributing to shared goals. Curious and connected know whats happening in the industry, what users are building, and what tools they love (or hate). Bonus if you have Prior experience working in startups or fast-paced product organizations. Background in AI, machine learning or dev tools. Experience speaking at industry conferences, running webinars, or building video tutorials. Contributions to open-source projects or active participation in developer/data communities. Show more Show less

The Manufacturing Division coordinates a complex network in the manufacture and distribution of our products. This role will be a key participant in Manufacturing Division s objectives: highest quality, shortest lead time, lowest cost and will contribute to transformation of our Data and Analytics capabilities. As a Manager Data Analyst, you will work as a member of the Manufacturing Division IT team in our global IT hub in Hyderabad. You will be responsible for identifying, assessing and solving complex business problems related to manufacturing, quality and supply chain. You will receive training to achieve this and you'll be amazed at the diversity of opportunities to develop your potential and grow professionally. What will you do in this role Work with the business partners to perform business process analysis, scope definition, requirements elicitation and documentation, testing planning and coordination Work closely with various stakeholders in Manufacturing Division, IT leadership and peers to understand the key business capabilities required, assess the current state, and align target state with the business strategy Cooperate with the IT platform teams to create, change or modify any required systems/application interfaces Configure and enhance the capabilities of analytics system Perform systems analysis and design on analytics projects and programs Take ownership of evaluations and proof of concept activities Test IT solutions functionalities and analytical capabilities with the business use cases, train the users and document the results Create documentation for the solutions that you create, enhance and support in line with System Development Lifecycle company standards What should you have Bachelor s degree in information technology, Computer Science or any Technology stream. At least 6-year experience working as an IT Business or Technical Analyst Bachelors degree in a technical or science field from an accredited university or equivalent experience Experience with analytics systems, SQL and NOSQL databases, data lake concepts Overview in information management area in any of following activities is welcome: Data engineering, Data modelling, Visualizations, Data warehousing Ability to work both independently and collaboratively with a globally dispersed team Demonstrated ability to solve problems with a sense of ownership, enthusiasm and innovation Ability to work in a global, multi-cultural, English-speaking environment Excellent communication and problem-solving skills Self-starter skills as we'll as ability to work independently Experience with SQL and data analysis scripts (Python or R) Proficient in the use of visualization tools (QlikView, Spotfire & PowerBI) Our technology teams operate as business partners, proposing ideas and innovative solutions that enable new organizational capabilities. We collaborate internationally to deliver services and solutions that help everyone be more productive and enable innovation

As the Real-time Data Analytics & Data Science Lead in the GPS department at Fidelity, you will play a crucial role in architecting, implementing, and deploying multi-scale data analytics platform solutions. Your responsibilities will include leading, facilitating, and coordinating the execution of the analytics team's technical vision, collaborating with other areas, and providing oversight and governance of analytics and machine learning solutions. Additionally, you will champion advanced analytics and machine learning principles and processes at both domain and enterprise levels. The Raptor Data Analytics Team, part of the newly formed Global Platforms Business, is currently focused on developing a real-time analytics platform called Raptor that supports alerting applications associated with financial crime and other use-cases. In this role, you will have the opportunity to work with cloud technologies, oversee analytics systems and processes, and mentor high-performing analytics engineering teams. Your experience should include significant leadership experience in analytics application and data science teams, particularly in real-time analytics design and implementation. You should have a deep understanding of real-time processing and asynchronous analytics systems, as well as experience in statistical sequence mining, distributed machine-learning systems design, and distributed domain-driven architecture. From a technical perspective, you should have expertise in enterprise architecture, object-oriented programming, AWS services, REST API design, data mining, sequencing, analytics metrics, and aggregates. Strong programming skills in R and Python are essential, along with experience in designing and building REST APIs using Swagger/OpenAPI. As a successful candidate, you should possess strong teamwork skills, the ability to build and maintain relationships with business stakeholders and technology teams, self-motivation, and strong management capabilities. Flexibility and openness to change are also key traits for this role. We believe in offering a comprehensive benefits package to support your wellbeing and development. Our commitment to dynamic working allows for flexibility in your work location and hours, ensuring a balance that suits all parties involved. At Fidelity, we are dedicated to providing a motivating work environment where you can feel valued and part of a dynamic team. To learn more about our organization, our approach to dynamic working, and the exciting opportunities for growth at Fidelity, visit careers.fidelityinternational.com.,