דרושים » תוכנה » AI System Analyst

About the Role
In partnership with our company, join a leading financial organization and take a key role in analyzing and shaping complex processes and systems within the Capital Markets domain. As a System Analyst, you'll work closely with business stakeholders, technology teams, and external partners to understand, challenge, and translate business requirements into effective processes and system solutions. We're looking for an experienced System Analyst with a strong background in Capital Markets, Trading, Investments, or Financial Systems - someone who combines business understanding with a systems-oriented perspective.
What You'll Do
Analyze, challenge, and translate business requirements into detailed processes and system specifications.
Define business processes, information systems, and interfaces supporting Capital Markets activities.
Design and optimize B2C, B2B, and self-service processes across digital channels.
Analyze processes supporting bankers, branch systems, and trading platforms.
Work closely with stakeholders across business and technology units, as well as external partners.
Lead cross-functional discussions and coordinate multiple stakeholders throughout the product lifecycle.
Identify business and system requirements and support their implementation across relevant systems.
Take an active role in addressing challenges and driving solutions throughout the lifecycle of products and initiatives.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

we are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the 365Scores products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.

Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

We are seeking an experienced sharp and dynamic analytical mind to join our Product Analytics team as a Strategic product analyst. This position is ideally suited for those who are naturally passionate about learning, gaining knowledge, and analyzing anything they do and see with experience in utilizing data to make a significant impact.
The role requires a combination of analytical, technical, problem-solving, communication, and project management skills, and it involves working closely with various stakeholders and customers - including Product Managers, Customer Success Managers, Operations teams, Data Engineers, UI/UX Designers, SW developers, and AI experts at all levels.
Responsibilities:
As a Strategic product analyst at Aidocs Analytics group, you will play a critical role in expanding our data-driven vision and building analytics capabilities that create value for both our customers and internal teams. Your work will include:
Building scalable customer-facing analytics and data-sharing products, transforming complex data and customer needs into reliable, intuitive, and standardized solutions.
Partnering with Customer Success and Product teams to understand how customers use our products, identify opportunities to improve adoption and demonstrate value, and translate site needs into scalable analytical solutions.
Leading strategic analyses across products, workflows, and clinical domains, connecting data from multiple parts of Aidocs ecosystem to uncover insights and support business and product decisions.
Designing product KPIs and measurement frameworks, monitoring trends, and working with key stakeholders to translate findings into actionable insights.
Conducting decision-support analyses for Product, Customer Success, development, and operational initiatives.
Designing and improving scalable data models and analytics infrastructure that support customer-facing products, internal analytics, and repeatable analytical capabilities.
Continuously expanding our analytics knowledge base, improving data quality and reliability, and documenting learnings to strengthen the teams collective expertise.

We are looking for an experienced Analytics Engineer to join our Clinical Value team and develop the data foundations, infrastructure, and analytical tools that enable our work.
This hybrid role combines Analytics Engineering with hands-on data analysis. You will translate complex analytical and clinical needs into scalable, reliable, and reusable data solutions.
You will design data models, pipelines, analytical layers, and tools that enable complex Clinical Value studies across products and customers, while remaining hands-on with selected analytical projects.
You are expected to be independent, proactive, and impact-oriented, taking end-to-end ownership of technical challenges and opportunities for improvement.
evaluation.
Responsibilities:
Design, build, and maintain the data infrastructure supporting Clinical Value analyses, including reusable data models, pipelines, analytical layers, and tools.
Own the technical and analytical implementation of complex Clinical Value applications, adapting established methodologies to different products, customers, and real-world data environments.
Develop complex analytical solutions into reusable and scalable frameworks, enabling broader and more efficient execution across the team.
Identify data-quality issues, technical bottlenecks, and repetitive processes, and develop solutions and automation to improve reliability and efficiency.
Work closely with analysts, Data Engineering, and other technical teams to translate analytical needs into effective, maintainable data solutions and establish best practices.
Lead selected hands-on data-analysis projects, analyzing complex clinical and operational datasets to generate credible, actionable conclusions.
Collaborate with Go-to-Market teams, including Customer Success, to understand customer needs and support impactful customer-facing value demonstrations.

Were looking for a Data & Analytics Team Lead to manage and grow our data team and own the data layer behind our AI. Youll lead a team of data analysts responsible for neural-network model analysis, model performance tracking, customer-facing and internal BI. Youll act as both the people manager and the technical lead for the team, setting technical direction while staying hands-on.
Youll thrive in this role if youre passionate about turning data into better AI products, enjoy solving complex analytical problems, and like working at the intersection of Data, Analytics, and Artificial Intelligence.
Responsibilities:
Lead the data strategy supporting AI model development, evaluation, and continuous improvement
Define KPIs and monitoring frameworks for AI model performance.
Analyze NN model outputs, build and maintain model-tracking and performance-evaluation workflows
Drive close calibration with the Algo, Product, and Data Engineering teams to align data definitions, pipelines, and metrics
Stay hands-on with SQL, Python, BI tooling, and the modern data stack
Build and own agentic data workflows - designing the context, tooling, and data access that let AI agents reliably query, analyze, and act on company data

Our Business Analytics team is looking for a passionate and analytical team player to join us.
In this role, you'll take ownership of the deep analysis behind our brands' performance, turning complex data into actionable business insights. You'll analyze customer funnels, monitor key KPIs, evaluate experiments, and partner closely with cross-functional teams to drive data-informed decision-making.
As part of our AI-first approach, you'll also help shape how analytics is performed across the organization by leveraging AI tools, improving analytical processes, and raising the overall standard of our analytics function.
This is an excellent opportunity for a strong individual contributor who is looking to make a significant business impact without a managerial track.
Responsibilities:
Explore and analyze large-scale data across our sources (internal DWH / Databricks lakehouse, Google BigQuery, GA4, and more) to understand and improve brand and business performance.
Own the deep analysis of each brands funnel and KPIs - explain what drives conversion, AOV/AIV, revenue per visitor and retention/LTV, and pinpoint where the funnel leaks and why.
Run the analysis behind A/B and pricing experiments end to end, and deliver a clear ship / iterate / kill recommendation.
Lead an AI-first approach to analytics - use AI and agents to analyze faster and deeper, and to build self-serve insight for non-analysts.
Shape how the analytics function works - champion high-quality data practices, set standards through best practices, drive standardization and scale, and mentor and guide other analysts.
Generate actionable insights through queries and data-visualization tools (Tableau), and turn them into recommendations that drive business decisions.
Initiate new projects and ideas that anticipate the companys needs.

Were looking for an Operations Analyst to join our growing team , a fast-paced travel-tech startup transforming the way the travel industry operates through cutting-edge technology.
In this role, you'll be at the heart of our operations, ensuring that processes run smoothly, efficiently, and are continuously optimized. Youll work closely on our flag product, taking ownership of daily operations, data integrity, and customer health. Your responsibilities will include business analysis, identifying growth opportunities, and driving operational excellence.
This role is perfect for someone analytical, curious, and passionate about making an impact across multiple domains of the business. The position is based in Tel Aviv and Rehovot.
What You'll Do:
Monitor and maintain daily operations of our flagship product, ensuring all data-related tasks are completed accurately and on time.
Conduct customer and data investigations to uncover insights, optimize performance, and identify areas for improvement.
Perform customer health checks and develop strategies to maximize client satisfaction and engagement.
Analyze business processes and identify opportunities for operational improvements and efficiencies.
Implement standards and workflows to streamline operations and support company scale-up.
Collaborate with cross-functional teams to improve product flows and resolve operational challenges creatively.
Provide reports on operational performance and suggest actionable improvements.
Contribute to data structure integration and maintain high-quality data standards.

In this role you will be responsible for designing, developing, implementing, and supporting our MES Product, Opcenter. You will have the opportunity to work on some of the largest MES projects in the region, often within regulated environments.

We are happy to train you up in our market-leading MES product.

A security classification is required for this position. Candidates with a valid, existing security classification are preferred.

This role can be based Airport City, Israel. Hybrid working is available, but you must be willing to travel to our customer sites.


How will you shape the world of tomorrow? Digitally and with a future-oriented mindset!

Participate in large MES implementation projects for the Israeli customers
Understand the goals of the project workstream to which you are assigned, the breakdown of project tasks, and be able to explain the workstreams' relationship to the overall solution
Configuration and implementation of end-to-end MES solutions
Testing, data migration, production, and postproduction support
Support knowledge transfer (deliver training courses, user guides, coaching of MES key users)
Support the documentation and development of standard methodologies and the further development of our knowledge base
Ensure solution implementation with special consideration of the surrounding MES and ERP landscape as well as production/quality processes
Acting as part of a Consulting Services team, work productively with Consultants, Architects, Project Managers, and other internal & external interfaces to ensure that the customer succeeds in their objectives
Be a technical trusted advisor to a customer and implement customer requirements to introduce or further develop innovative and integrated MES solutions in production, quality, and compliance management

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.