Business Analyst, Performance

🏢 Summary: Senior Business Analyst role focused on leading enterprise-scale initiatives in a cloud-native SaaS environment, driving data-driven strategy and AI-enabled productivity across business, product, and technology teams. The position shapes business analysis frameworks, defines strategic roadmaps, and influences executive decision-making. Fully remote within U.S. time zones. 🗂️ Requirements: Bachelor’s degree in Business, Information Systems, Technology, or related field, 9–12 years of business analysis or strategic experience in B2B SaaS, Expertise in process, data, and systems analysis, Experience collaborating with Product, Engineering, and GTM teams, Experience with SaaS metrics such as ARR, churn, customer lifecycle, product adoption, Proven experience leveraging AI-powered tools for analysis and decision-making, Ability to lead enterprise-scale initiatives, Legal authorization to work in the U.S. 📃 Skills: SaaS, AI, Analytics, Data, Systems, ARR, Churn, GTM, Cloud, SaaSMetrics 🏢 Description: Elite is the trusted automation platform for law firm operations across most of the world's largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite's products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com.Position Overview The Senior Business Analyst serves as a strategic advisor and enterprise-level thought leader, shaping how Elite defines problems, delivers solutions, and scales analytical excellence. This role focuses on long-term impact, organizational alignment, and elevating business analysis maturity across the company. Work Arrangement: Remote This role requires the individual to be based in Flexible across U.S. time zones. Responsibilities Partner with senior leaders to define enterprise problem statements, success metrics, and strategic roadmaps. Lead mission-critical or enterprise-scale initiatives with high visibility and impact. Drive alignment across business, product, and technology strategies. Identify and scale AI-enabled productivity opportunities, embedding AI-powered tools and workflows to accelerate analysis and improve decision-making across the organization. Anticipate future business needs and proactively design scalable, forward-looking solutions. Demonstrated fluency in leveraging AI-powered tools to accelerate analysis, enhance decision-making, and improve day-to-day productivity. Establish, evolve, and govern business analysis frameworks and best practices. Coach, mentor, and develop business analysts across all levels. Represent the Business Analyst function as a trusted advisor to leadership. Influence enterprise decision-making through data-driven insights and recommendations. Strong stakeholder communication skills. Perform other duties as assigned to support departmental and company objectives. Qualifications Bachelor's Degree in Business, Information Systems, Technology, or related field, or equivalent experience. 9–12 years of experience in business analysis or related strategic roles, preferably within B2B SaaS environments. Deep expertise in process, data, and systems analysis. Experience working cross-functionally with Product, Engineering, and GTM teams in a SaaS organization. Familiarity with key SaaS metrics (e.g., ARR, churn, customer lifecycle, product adoption) and data-driven decision making. Exceptional strategic thinking, judgment, and executive communication skills. Strong change leadership and organizational awareness. Proven ability to scale impact through influence and mentorship. Ability to travel up <10% as business needs require. Role requires the following physical capacity: Sedentary: primarily desk/computer work. Must be legally authorized to work in the United States; Elite does not provide employment sponsorship for this position. Benefits: Competitive Compensation Package ($140,000 - $160,000 base salary + variable component) Comprehensive Healthcare Coverage (Health, Dental, Vision) Retirement Savings Plan with an Employer Contribution Professional Development Opportunities Time Off Wellness Initiatives Employee Assistance Program Generous Global Parental Leave Calm, free premium subscription Employee Discount Program Please note that we do not offer sponsorship for this position. Additional Information At Elite Technology, we embrace an employee-centric, flexible work model that empowers you to do your best work in the environment that suits you. However, we also recognize the importance of in-person collaboration for key moments that truly matter. In our flexible remote approach, you have the freedom to choose a workspace within your home country that best fits your needs. Our corporate offices are located in New York City, Los Angeles, Costa Rica, and the Philippines, providing additional options for those who prefer or need a hybrid work environment. Our diverse global team spans the U.S., Canada, U.K., Costa Rica, the Philippines, and Australia. Please note that at this time, we are unable to hire employees located in Quebec or Ontario Provinces, Alaska, Hawaii, Puerto Rico, Louisiana, and Oklahoma. As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace. We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. We are not accepting applications submitted through recruiting agencies.

🏢 Summary: Fullstack (Kotlin + React) role focused on delivering a production-grade internal operations application critical to a cloud platform cutover, while supporting infrastructure observability. The position combines complex frontend state management and RBAC with JVM backend development and GCP-based cloud deployments. It requires strong autonomy in navigating legacy systems and ensuring high-quality, regulated releases. 🗂️ Requirements: 3–5 years professional software engineering experience, Minimum 2 years building complex frontend applications in production, Proficiency in React and TypeScript, Experience with complex state management (Redux or Context API), Implementation of frontend RBAC and user rights management, At least 1 year experience with Kotlin or other JVM language, Ability to read and modify Java codebases, 1–2 years hands-on experience with GCP, Experience with GKE, Cloud Run, and Terraform, Strong SQL skills with complex queries, Experience with Apache Airflow workflows, Experience with unit and integration testing with high code coverage, Ability to work within strict PR and peer review processes, Fluent written English 📃 Skills: Kotlin, Java, React, TypeScript, Redux, ContextAPI, GCP, GKE, Kubernetes, CloudRun, Terraform, SQL, Airflow, Python, RBAC, Spring, Ktor, Bigtable, Kafka, C++ 🏢 Description: We are looking for a Fullstack developer (Kotlin+React) to join a regulated, high-stakes global tech ecosystem and drive the delivery of critical enterprise infrastructure. Your core mission will be split between supporting a vital infrastructure observability workstream and taking ownership of a new, business-critical internal operations application. This system serves as a zero-buffer, hard go-live dependency for cutting over a massive, multi-year platform to the cloud. If you are a highly autonomous engineer who thrives on complex state management, robust backend integrations, and production-grade cloud deployments, we want to hear from you. Responsibilities: End-to-End Application Ownership: Design, build, and deliver a production-grade operational administration interface, enabling operators to manage complex lifecycle data components. Access Control & Security: Implement frontend Role-Based Access Control (RBAC) with complex user rights management, ensuring tailored role-based rendering and access control per user type (admin, operator, read-only). Backend Integration & Feature Development: Write, modify, and extend clean backend code in Kotlin and Java to build robust data validation pipelines and integrate with core data services. Cloud Infrastructure & Deployment: Provision, deploy, and manage containerized applications within Google Cloud Platform (GCP) utilizing Kubernetes (GKE), Cloud Run, and Terraform. Observability & Scripting: Develop, integrate, and maintain Python monitoring and alerting scripts to create robust dashboards, manage technical metrics, and support test tooling frameworks. Quality Assurance & Testing: Implement rigorous unit and integration testing workflows with exceptionally high code coverage to meet strict, formal quality sign-off standards. Codebase Navigation & Autonomy: Rapidly onboard into a large, complex legacy platform, independently resolving technical blockers and owning your deliverables with minimal supervision. Min requirements: Experience: 3 to 5 years of professional software engineering experience, including a minimum of 2 years building complex frontend applications in production (business tools, internal platforms, or financial applications preferred). Frontend Expertise: Solid Mid-to-Senior level proficiency in React and TypeScript, with a proven track record of handling complex state management (Redux or Context API) and implementing frontend RBAC. JVM Backend Skills: Practical experience (at least 1 year) with Kotlin or another JVM language, alongside the ability to read, debug, and modify existing Java codebases. GCP Production Experience: 1 to 2 years of hands-on experience with Google Cloud Platform, specifically utilizing GKE (Kubernetes), Cloud Run, and infrastructure provisioning via Terraform. Data & Workflow Automation: Strong SQL skills with the ability to query complex data models, coupled with practical experience orchestrating workflows via Apache Airflow. Crucial Non-Technical Skills: Extreme technical autonomy, rapid onboarding skills into unfamiliar codebases, and fluent written English for async communication and peer reviews. Process Alignment: Comfort working within a highly regulated corporate framework where every deliverable undergoes strict pull request workflows and formal peer sign-off. Would be a plus: Domain Knowledge: A strong background in financial services, fintech, investment banking, or handling complex reference data layers. Advanced JVM Ecosystem: Deep understanding of modern Spring or Ktor architectural patterns. Data Storage Frameworks: Understanding of Google Cloud Bigtable architectures and how massive data layers are stored and read. Low-Level Code Awareness: Ability to read and understand existing C++ code within a legacy system context. Advanced Streaming: Familiarity with real-time data streaming architectures using tools like Apache Kafka or distributed risk batches. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Site Reliability Engineer role focused on leading the cloud platform layer of a large-scale enterprise migration to GCP, with full ownership of observability and FinOps capabilities. The position involves architecting cost attribution, distributed tracing, monitoring, and performance engineering solutions in a production-grade Kubernetes environment. You will work on complex distributed systems, extending multi-language codebases and managing infrastructure as code in a regulated enterprise setting. 🗂️ Requirements: 4–6 years software or DevOps engineering experience, 2–3 years hands-on cloud infrastructure management in production, Strong GCP expertise including GKE and Cloud Run, Proven experience building observability solutions with OpenTelemetry, Experience with distributed tracing and profiling in distributed systems, Advanced Python scripting for automation and tooling, Strong Terraform proficiency with multi-environment setups, Ability to read and modify Kotlin and Java codebases, Experience implementing monitoring, alerting, and SLOs for containerized/serverless services, Experience with infrastructure cost attribution and cloud billing APIs 📃 Skills: GCP, GKE, CloudRun, Kubernetes, OpenTelemetry, Terraform, Python, Kotlin, Java, FinOps, PubSub, Bigtable, Docker, SLO, Tracing 🏢 Description: We are looking for a Site Reliability Engineer to join a high-stakes global tech ecosystem and drive the delivery of a critical enterprise platform migration to the cloud. Your core mission will be to architect, build, and productionalize the observability and cost intelligence (FinOps) layer for a massive, multi-year financial platform transformation. You will take end-to-end ownership of the cloud platform layer, giving internal stakeholders full visibility into platform behavior, performance, and infrastructure spend. Working alongside a nearshore team of senior engineers, you will solve highly complex architectural challenges in a production-grade, distributed system. Responsibilities: End-to-End Infrastructure & FinOps Ownership: Architect and implement a cloud usage and cost attribution dashboard, providing detailed per-pod and per-service cost breakdown using cloud billing APIs and internal FinOps hubs. Advanced Observability & Tracing: Instrument end-to-end distributed tracing using OpenTelemetry, configuring collectors within Kubernetes environments and exporting traces to cloud monitoring systems utilizing RED metrics. Performance Engineering & Stress Testing: Write custom tooling from scratch to deliver database performance monitoring, load testing, and trend analysis for critical underlying storage layers. Monitoring & Alerting Automation: Build and deploy scalable production monitoring, custom alerting policies, and SLO tracking for containerized and serverless services. Infrastructure as Code: Independently manage, write, and apply infrastructure modifications using Terraform, working within established enterprise repository standards, modules, and environment state management. Cross-Language Codebase Extension: Read, debug, and extend existing platform code across a diverse stack including Kotlin, Java, and Python to seamlessly integrate technical metrics without disrupting business logic. Quality & Release Assurance: Implement rigorous unit testing with high code coverage for all newly developed monitoring tools to comply with strict enterprise quality gates and sign-offs. Min requirements: Experience: 4 to 6 years of professional software or DevOps engineering experience, with at least 2 to 3 years of hands-on cloud infrastructure management in production. Advanced Cloud Infrastructure: Deep operational proficiency with Google Cloud Platform (GCP), specifically with managing and configuring workload-level alerting on Google Kubernetes Engine (GKE) and Cloud Run. Observability & OpenTelemetry: Proven track record of building observability solutions in distributed systems, using OpenTelemetry (both auto and manual instrumentation) alongside distributed tracing and profiling tools. Strong Automation Scripting: Intermediate-to-advanced fluency in Python for writing custom test tooling, metrics integration scripts, and backend automation from scratch. Solid Infrastructure as Code: Strong proficiency in Terraform, including experience with multi-environment setups, workspaces, and corporate module standards. Polyglot & JVM Familiarity: Practical ability to read, understand, and modify existing backend codebases written in Kotlin and Java. Crucial Non-Technical Skills: Extreme technical autonomy to resolve blockers independently, rapid onboarding skills into large unfamiliar codebases, and fluent written English for async alignment and pull requests. Process Alignment: Ability to thrive in a highly regulated enterprise environment with strict peer reviews, robust documentation requirements, and formal deployment procedures. Would be a plus: Domain Knowledge: Previous experience working within financial services, fintech, investment banking, or other highly regulated industries. Enterprise Streaming Tools: Working knowledge of cloud messaging systems (such as Cloud Pub/Sub) utilized for inter-service communication. Advanced Storage Engines: Familiarity with high-throughput distributed database architectures, such as Google Cloud Bigtable. Systems Languages Awareness: Ability to read or debug foundational code written in low-level systems languages like Rust or C++ during multi-stack production deployments. We offer: Opportunity to work on bleeding-edge projects Work with a highly motivated and dedicated team Competitive salary Flexible schedule Benefits package - medical insurance, sports Corporate social events Professional development opportunities Well-equipped office About us: Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

🏢 Summary: Full Stack Developer role focused on building and maintaining an in-house electronic trading application, including real-time data visualization and position management. The team follows a DevOps approach and is currently migrating the system from on-premise infrastructure to GCP. Responsibilities include feature development, automated testing, CI/CD, and production ownership. 🗂️ Requirements: Minimum 4 years of Java development experience, Hands-on experience with GCP, Experience with Terraform, Experience with TDD, Experience with CI/CD pipelines, Proficiency with Git, Proficiency with Gradle, Proficiency with TeamCity, Proficiency with GitHub, Experience with Apache Kafka, Experience with Kafka Streams 📃 Skills: Java, GCP, Terraform, TDD, CI, CD, Git, Gradle, TeamCity, GitHub, Kafka, KafkaStreams, REST, MongoDB, JVM 🏢 Description: You will join a global team of Full Stack Developers working on an in-house application supporting electronic trading. The team works with modern technologies, a DevOps approach, and close collaboration with the business. Currently, the team is focused on migrating the application from an on-premise environment to GCP. The application is responsible for position management and real-time data visualization. You and your teammates are responsible for all aspects of delivering software to your users: Development of new features. Speaking to the product owner (traders) to understand new feature requirements. Automating regression testing of new software. Frequent deployment of multiple software packages to production. Production availability – we collectively build and own the service. Peer review of colleague’s changes. Speak up and help shape how we do things better. Required skills and experience: Expertise of Java development, with at least 4 years of experience Exposure to cloud technologies such as GCP and Terraform . Familiar with TDD, continuous integration and delivery environment using Git/Gradle/Teamcity/Github Experience with Apache Kafka and Kafka Streams Fluent English (min. B2) Nice to have skills and experience: Experience with REST, messaging technologies and JVM performance tuning. MongoDB An interest in Equity or Equity Derivatives trading business Trading or Risk analysis systems domain knowledge A passion for software development outside of work through involvement in open source, working groups, meetups etc.