Keeper Solutions
51 - 200 employees
Founded 2011
💳 Fintech
🤖 Artificial Intelligence
☁️ SaaS
Fintech • Artificial Intelligence • SaaS
Keeper Solutions is an AI-first software development partner specializing in building and modernizing financial software and FinTech platforms. The company offers end-to-end services from product discovery and design sprints to full-cycle development, QA/automation, and long-term dedicated teams, with a focus on embedding AI (multi-LLM access, GenAI integration) into fintech products while addressing regulatory, compliance, and security needs. Keeper Solutions serves B2B fintech clients across payments, embedded finance, portfolio management, accounting, and SaaS financial products.
Data Analyst, Semantic Modelling
Job not on LinkedIn
🕒 March 12
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Keeper Solutions
51 - 200 employees
Founded 2011
💳 Fintech
🤖 Artificial Intelligence
☁️ SaaS
Fintech • Artificial Intelligence • SaaS
Keeper Solutions is an AI-first software development partner specializing in building and modernizing financial software and FinTech platforms. The company offers end-to-end services from product discovery and design sprints to full-cycle development, QA/automation, and long-term dedicated teams, with a focus on embedding AI (multi-LLM access, GenAI integration) into fintech products while addressing regulatory, compliance, and security needs. Keeper Solutions serves B2B fintech clients across payments, embedded finance, portfolio management, accounting, and SaaS financial products.
📋 Description
• Design and implement scalable enterprise data platforms supporting analytical and financial reporting requirements. • Translate business and finance reporting needs into robust dimensional data models and semantic layers. • Define, document, and govern business metrics such as EBITDA, Gross Margin, and financial variance calculations to ensure consistency across analytics solutions. • Work closely with Back-End and product engineering teams to ensure efficient data pipelines, optimized query performance, and reliable analytics at scale. • Design and maintain data warehouse schemas, focusing on performance, scalability, and long-term maintainability. • Contribute to the architecture and technical direction of the organization’s analytics and data modelling strategy. • Participate in design workshops with finance and business stakeholders to align semantic data models with reporting requirements. • Support product and development teams through MVP and production phases, ensuring data architecture evolves with the platform. • Optimize SQL queries, data models, and analytical workloads to support high-performance real-time reporting and analytics. • Operate effectively within an agile engineering squad, contributing to planning, design discussions, retrospectives, and continuous improvement initiatives. • Mentor engineers and collaborate on data architecture decisions across complex multi-entity or multi-tenant platforms.
🎯 Requirements
• Strong expertise in data platform architecture, dimensional data modelling, and semantic layer design. • Extensive experience with SQL and relational databases, particularly Microsoft SQL Server. • Solid experience designing and managing data warehouses and analytical data models. • Experience with cloud-based data services such as Azure Data Factory and Azure Synapse Analytics is considered a plus. • Deep understanding of the full analytics development lifecycle, from requirements and modelling to deployment and optimization. • Experience working closely with finance stakeholders to translate reporting requirements into semantic data models. • Experience working in agile development environments and collaborating with cross-functional engineering teams. • Previous experience mentoring engineers and contributing to data architecture decisions is highly desirable. • Good English level.
🏖️ Benefits
• Competitive salary that rewards performance and drives innovation. • Keeper Tokens allocated each month to recognize and reward employees. • Annual health check for some locations – we want to make sure that you’re fit and healthy and that you are given the support you need to stay that way. • Remote work, flexibility, and balance – we offer remote opportunities and other benefits designed to support healthy work/life balance and growing families. • Learning and development – identify areas for development and we’ll provide time and access to training materials. • Internal R&D projects available to help develop leading-edge skills in areas such as AI, big data, and blockchain. • Career path planning – team members are encouraged to discuss their career plans based on their ambitions. We provide the training and support to help them along the way. • Culture and connection – people are at the very heart of what we do. Our leadership teams bring a wealth of knowledge and experience, particularly in helping blue-chip companies grow and scale internationally.
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