We are looking for a skilled Financial Digital Systems Analyst to lead end-to-end analysis processes for digital financial systems, working closely with business stakeholders, development teams, QA teams, and UX / UI teams. This role requires strong experience in digital systems analysis, Web and Mobile applications, API specifications, Agile/Scrum methodologies, Microservices architecture, Event-Driven Architecture, and translating business needs into accurate functional and technical requirements. A full-time hybrid position based in Modiin, Israel, with 4 days a week from the office and 1 day remote. Key Responsibilities:
* Gather, refine, and analyze business requirements by working directly with internal stakeholders, understanding business needs, analyzing processes, and translating them into clear functional and technical requirements.
* Manage requirement changes throughout the project lifecycle.
* Lead end-to-end specification processes, from high-level solution design (HLD) with a system -wide perspective to detailed low-level design (LLD) documents for Web, Mobile, and integration domains.
* Work closely with development and QA teams throughout all implementation stages in an Agile/Scrum environment.
* Define complex interfaces in Microservices and Event-Driven Architecture environments, including API specifications using REST and GraphQL, JSON structures, and documentation with Swagger/OpenAPI.
* Collaborate with UX / UI teams to validate wireframes and prototypes against business requirements, ensuring a consistent and high-quality User Experience.
* Use Generative AI tools to streamline specification writing, documentation, and requirements analysis - advantage.

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.

At our company, were building the future of digital healthcare, making access to prescriptions, treatments, and delivery simpler, smarter, and fully online.
Were looking for a Business Analyst who is passionate about turning data into actionable insights and driving sustainable growth across the customer lifecycle. As a Business Analyst at our company, youll work closely with Retention, CRM, Product, Customer Experience, and Data teams to analyze customer behavior, identify growth opportunities and support data driven decision making. Youll focus on repeat purchases, retention, churn, reactivation, and customer lifetime value.
we are a technology driven group building the next generation of digital healthcare infrastructure. At the core of the group is DoktorABC, a leading telehealth marketplace operating across multiple international markets. DoktorABC connects patients, licensed doctors, pharmacies, medications, and delivery partners through a single digital healthcare experience
Responsibilities
Analyze customer behavior and business performance across the customer lifecycle, with a focus on retention, repeat purchases, churn, reactivation, and customer lifetime value
Monitor key KPIs and build dashboards, reports, cohorts, and customer segments to identify trends and performance gaps
Analyze customer journeys and identify key drop off points, churn drivers, and opportunities to improve repeat behavior
Partner with Retention, CRM, Product, and Customer Experience teams to evaluate campaigns, lifecycle journeys, discounts, Care Plans, and other retention initiatives
Analyze performance across markets, treatment categories, medications, service types, acquisition sources, and customer segments
Measure the impact of customer experience factors such as cancellations, payment failures, and delivery issues on customer behavior and business results
Support tests and experiments, including KPI definition, control groups, performance analysis, and final recommendations
Translate complex data into clear business insights, quantify opportunities, and support strategic decision making.

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.

abra professional services is seeking a Project Manager! We are looking for an experienced Technological Project Manager to lead end-to-end development and implementation of AI solutions within a complex, multi-interface technical environment. This role requires a unique combination of technical and architectural understanding, strong client- and business-facing skills, and the ability to manage and drive development teams and vendors. Key Responsibilities:
* Lead technological projects from business requirement identification through definition, architecture, development, testing, deployment, and adoption.
* Translate business needs and objectives into functional/technical specifications and actionable development tasks.
* Drive projects focused on AI technologies, including integrating AI solutions into organizational workflows and legacy/enterprise systems.
* Work closely with system architectures, integrations, APIs, and cross-system interfaces.
* Oversee day-to-day execution in Jira—managing backlogs, sprint planning, task prioritization, dependencies, status updates, and progress tracking.
* Maintain ongoing communication with business owners and clients, managing expectations, requirements, and executive status reporting.
* Motivate and coordinate cross-functional development teams, internal departments, and external vendors to hit deadlines and deliverables.
* Concurrently manage multiple projects and interfaces, proactively identifying risks, bottlenecks, and mitigation strategies.
* Oversee UAT testing, production deployment, and system integration.

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.

The trivago innovation center is looking for a passionate and seasoned Senior Data Analyst to join our DATA team. In this role, you will take the analytical lead on our disruptive B2C product and play a key role in driving customer acquisition, marketing performance, and strategic business growth. The ideal candidate possesses strong analytical and commercial thinking, a deep understanding of large-scale data environments, and the ability to translate complex datasets into actionable business insights. You will partner closely with Data Science, Product, Marketing, and Business stakeholders to influence decision-making, optimize performance, and support scalable growth initiatives.

About the role:
How you’ll make an impact: Customer & Growth Analytics: Analyze customer acquisition funnels, campaign performance, and behavioral trends to identify growth opportunities and improve business performance. Strategic Decision Making: Partner with cross-functional stakeholders to provide actionable recommendations and support scalable, data-driven decision-making processes across the organization. Performance Optimization: Lead deep-dive analyses and A/B testing initiatives to optimize bidding strategies, channel efficiency, and marketing investments. Data Visualization & Reporting: Build and maintain dashboards, reports, and visualizations that deliver clear and impactful business insights to technical and non-technical stakeholders. Data Infrastructure Collaboration: Work closely with Data Science and Analytics teams on data modeling, tracking methodologies, and scalable analytics solutions. Business Impact: Translate complex analytical findings into measurable business outcomes while supporting the company’s performance and revenue goals.

About the Company:
About trivago Innovation Center (formerly Holisto) We’re part of trivago N.V. , a global B2C travel-tech company headquartered in D?sseldorf, Germany. At trivago Innovation Center, we harness the power of award-winning AI and machine learning technologies to make hotel bookings smarter, more affordable, and perfectly tailored to each traveler. Fueled by our passion for travel and technology, we’ve spent years researching, developing, and refining solutions that help millions of users save money every single time they book.

We are looking for a BI & Data Solution Analyst to lead the organization's data transformation journey. Our Data & BI team is in the midst of a technological transformation, moving to a modern data platform based on Microsoft Fabric, Snowflake, dbt, and Power BI, enriched with AI and Copilot capabilities. We are seeking a data professional with strong business acumen who will lead the strategic migration from QlikView to Power BI and help shape the organization's analytics solutions for years to come.
Lead end-to-end Data & BI solutions, from business requirements gathering through development, implementation, and adoption.
Closely collaborate with business stakeholders and end-users, building advanced data models, and enabling data-driven decision-making.

As Head of Analytics, youll lead the analytics team and strengthen how data is used to support decision-making across the company. Reporting to the VP of Data & Analytics, youll translate the broader data strategy into clear priorities, high-quality analytical delivery, and measurable business impact.

Youll manage and develop teams of analysts and BI, partner closely with senior stakeholders across Product, Sales, Marketing, Finance, Customer Success, and Operations, and ensure that the company has trusted metrics, actionable insights, and scalable analytical capabilities.

This is a strategic and hands-on leadership role. Youll be expected to set direction, create structure, raise analytical standards, and remain closely involved in the companys most important business questions.

Youre welcome to work in our offices in Tel Aviv, Israel

Your responsibilities will include:

Team leadership and development. Lead, mentor, and develop the analytics team. Set clear expectations, establish ownership, support professional growth, and create a high-performance culture focused on business impact, analytical quality, and accountability.
Analytics strategy execution. Partner with the VP of Data & Analytics to shape the analytics strategy and own its execution, prioritization, and delivery. Translate company goals into a clear analytics roadmap and ensure resources are focused on the highest-impact business needs.
Business partnership. Act as a trusted analytical partner to senior leaders across Product, Sales, Marketing, Finance, Customer Success, and Operations. Understand their objectives, challenge assumptions, and help turn strategic questions into measurable decisions and actions.
Decision support and advanced analysis. Lead high-impact analyses across customer behavior, product performance, revenue, retention, pipeline, operational efficiency, and business growth. Ensure findings are translated into clear recommendations rather than presented as data alone.
Metrics and analytical governance. Establish and maintain consistent KPI definitions, business logic, and analytical standards. Ensure stakeholders use trusted and aligned metrics across dashboards, reports, forecasts, and business reviews.
Dashboard and reporting oversight. Guide the design, implementation, and improvement of executive and operational dashboards. Ensure reporting is relevant, reliable, easy to use, and aligned with business priorities.
Self-service analytics. Enable business teams to access and use data independently while maintaining appropriate governance, security, quality, and consistency. Identify where self-service creates value and where centralized analytical support is required.
AI-driven analytics. Help define and implement AI-assisted analytics capabilities that reduce manual reporting, accelerate insight generation, support natural-language access to data, and proactively surface risks or anomalies. Establish clear quality and validation standards for AI-generated outputs.
Cross-functional data collaboration. Work closely with Data Engineering, Data Architecture, and other technical teams to ensure that analytical datasets, semantic models, and data pipelines support current and future business requirements.
Operating model and prioritization. Build scalable processes for intake, prioritization, delivery, documentation, and stakeholder communication. Balance urgent business requests with strategic initiatives and long-term capability development.