דרושים » רפואה ופארמה » Experienced Medical Data Analyst, Implementation

We are seeking an experienced, solution-focused professional to join our Business Analyst team in Tel Aviv.
As an Inbound Business Analyst in the Professional Services (PS) team, you will serve as the primary liaison between clients, internal stakeholders, and the product/implementation teams.
Your role is to understand the clients requirements, the products models and specification and ensure smooth delivery of solutions.
This position combines analytical skills, financial services domain knowledge, and communication abilities to drive successful client engagements.
Responsibilities:
Conduct business analysis to support the deployment and optimization of solutions across client environments and impact assessment of identified issues.
Perform statistical analysis and fine-tune model sets to ensure optimal performance and accuracy.
Support the implementation team throughout User Acceptance Testing (UAT), ensuring requirements are met and functionality is validated.
Collaborate closely with both business and technology stakeholders to align solutions with client goals and technical feasibility.
Research, analyze, and structure large data sets, addressing both technical and business perspectives

We are looking for a Salesforce System Analyst and a project manager to join our Global Information Systems team.
In this role, you will work closely with the business to provide solutions on the Salesforce platform, supporting Sales, Service, and Marketing domains.
You will play a key role in implementing new features, maintaining the system, and ensuring daily operations run smoothly.
If you are an experienced team player who combines strong technical expertise and project management skills with a proactive, solution-oriented mindset, this is the role for you.
Responsibilities & Scope of Role:
End-to-End Delivery: Lead complex Information Systems projects from end to end, including all lifecycle stages (initiation, planning, execution, monitoring, and closure/maintenance).
Problem Solving: Find creative and effective solutions for complex technical and business challenges.
System Implementation & Configuration: Manage and implement Salesforce configuration tasks, including validation rules, approval processes, workflows, and flows.
Global Support & Enhancement: Work closely with international teams to provide system support, training, gather feedback, and implement system enhancements.
Reporting & Analytics: Create rich, actionable analytic reports for various teams and management.

Were looking for a Senior GTM Business Analyst to join our fast-growing Business Analytics team, partnering closely with GTM leadership, RevOps, Customer Success, Channel, Marketing (ToFu), Finance, and Data/BI teams to scale and elevate our go-to-market analytics capabilities.
This role requires deep analytical expertise, strong business acumen, and the ability to influence senior stakeholders. You will take ownership of strategic GTM analytics initiatives, define measurement frameworks, and drive data-informed decision-making across multiple revenue-generating functions.
You will serve as a key thought partner to GTM leadership, shaping how performance is measured, interpreted, and optimized.
Responsibilities:
GTM Analytics & Performance Insights
Own and evolve performance measurement frameworks across Customer Success, Channel Sales, Solutions Engineering, and Top-of-Funnel Marketing.
Track and interpret key SaaS KPIs, including ARR movements, churn, retention (GRR/NRR), expansion, pipeline creation, and funnel conversion metrics.
Design and maintain scalable reporting models that provide executive-level visibility into GTM performance.
Translate complex data into structured insights and strategic recommendations for senior leadership.
Proactively identify growth opportunities, operational inefficiencies, and risk areas across the GTM engine.
Data & Analytics Operations
Use SQL and Snowflake to efficiently extract, structure, and analyze GTM data.
Design high-impact, end-to-end Tableau dashboards (preferred), from data modeling to visualization and distribution.
Partner with Data Engineering and BI to shape data models, improve pipeline reliability, and elevate data governance standards.
Drive automation and AI-enabled analytical solutions to improve insight velocity and self-service capabilities.
Cross-Functional Collaboration
Act as a senior analytics partner to GTM executives and department heads.
Mentor and collaborate with other analysts to ensure consistent definitions, reporting standards, and analytical rigor.
Lead executive presentations and deliver insights in high-visibility forums.
Continuously improve GTM measurement methodologies and analytical maturity across the organization.

We are looking for experienced, creative, and independent Data Analyst to join our growing and unique data team. You will be working with colleagues from various departments such as Product, Technical Product, Operations, R&D, Research and Customer Success. Besides KPIs measurements and internal data processing, you will take a main part in the data product development, creating insights and defining measures and visualizations which are being consumed by our customers on a daily basis.
You will be part of a team which makes an impact across the whole company.
What you'll do:
Analyze large and complex datasets, in the fascinating domain of construction AI, and have a central impact on our business decisions.
Work closely with stakeholders across the company, be proactive and provide relevant and actionable recommendations.
Use your deep understanding of the domain and customers' needs to create and maintain data visualizations and analysis for our clients to maximize our product impact on their business goals.
Collaborate with product and operational teams to develop and test new features and logical heuristics to enhance internal processes.
Work in cooperation with R&D, define data structures and ETLs to maximize the impact on our company's KPIs.

We are seeking an experienced Data Team Lead to build, lead, and scale our data function. This is a hands-on leadership role that combines strategic thinking, technical excellence, and people management. You will build and manage a team of Data Engineers and Data Analysts, while working closely with senior management and cross-functional leaders to translate data into measurable business impact.
This role is ideal for someone who thrives in a fast-paced startup environment, enjoys influencing decision-making at the highest levels, and is passionate about embedding a data-driven mindset across the organization.
What You'll Do:
Lead and mentor the Data team, and support their professional growth while achieving impact goals of the marketing data structure such as: multi touch attribution model, creative analytics and automated data governance processes.
Define and own the data vision, roadmap, infrastructure, and best practices aligned with company objectives.
Act as a trusted data partner to executive leadership and senior stakeholders, influencing strategy through insights and analysis while promoting a strong data-driven culture.
Oversee the design, build, and maintenance of a scalable and reliable data warehouse.
Lead the design, implementation, and optimization of ETL/ELT pipelines to integrate data from multiple internal and external sources.
Ensure high standards for data quality, governance, integrity, and documentation.
Translate complex datasets into clear, actionable insights that support the different departments' needs and the company growth through operational excellence.
Support advanced analytics use cases including forecasting, experimentation (A/B testing), and performance measurement.
Review and elevate dashboards, reports, and analyses to ensure clarity, accuracy, and executive relevance.
Identify gaps in data collection and proactively propose solutions to improve visibility and decision-making.

about the job
as a data analytics sales specialist, you will help us grow our data analytics business by building and expanding relationships with new and existing customers. in this role, you will work with customers to deliver true business value, pitch and demonstrate product functionality and provide a comprehensive overview of key business use cases. you will lead day-to-day relationships with cross-functional team members, serving as a solution lead within the sales organization. you will lead go-to-market strategies and sales plays, manage campaigns, and provide feedback to product and global solutions teams to inform our product solutions roadmap. you will shape customers' cloud and data analytics strategy and enable digital transformation. you will lead with empathy, while identifying innovative ways to multiply your impact and the impact of the team as a whole to drive the overall value for our company cloud. our company cloud accelerates every organizations ability to digitally transform its business and industry. we deliver enterprise-grade solutions that leverage our company's cutting-edge technology, and tools that help developers build more sustainably. customers in more than 200 countries and territories turn to our company cloud as their trusted partner to enable growth and solve their most critical business problems.
responsibilities
cultivate relationships with customers as a subject matter expert and trusted advisor, managing business cycles, identifying solution use cases, and influencing long-term direction of accounts.
achieve or exceed quota and business and growth goals while forecasting and reporting your territorys business.
collaborate with our company accounts and cross-functional teams (e.g. customer engineering, marketing, customer success, product, engineering, channels) to develop go-to-market strategies, drive pipeline and business growth, close agreements, understand the customer, and provide excellent prospect and Customer Experience.
execute account plans, including a broader enterprise plan across key industries, focus on building accounts.
manage multiple customers and opportunities simultaneously, understanding each customers technology footprint and strategy, growth plans, business drivers, competitors, and how they can transform their business using our technologies.

We are looking for an ambitious Production Analyst, who wants to make a strong impact by implementing detailed investment policy configurations (Python) and performing comprehensive quality checks, ensuring that the policy delivers the required portfolio KPIs.The Analysts conduct various analyses projects, highly influencing the business aspects of the company. You should be comfortable working quickly and handling a busy workload, demonstrate meticulous attention to detail and critical thinking while collaborating effectively with both highly technical teams and executive stakeholders.
This individual will join the Portfolio Management & Research department, and will be part of a team that has both data scientists and data analysts, focusing on the company's main credit products and working closely with the production environment.
Responsibilities:
Managing and implementing (Python) underwriting policies in the production environment.
Perform quality analytics checks to ensure the policy logic meets the defined requirements (Portfolio KPIs) and works correctly in all scenarios, with a direct impact on the overall performance and outcomes of the portfolio.
Conducting tests to evaluate each component of the policy configuration to validate the results.
Monitoring of the policy behavior in production and analyze if the actual results meet the expectations.
Demonstrate the ability to present and provide meaningful business insights from data.
Perform ad-hoc analysis to support business decisions.
Create innovative & interactive dashboards, scorecards, and weekly/monthly reports on the status of key business measurements tailored to all audiences (from executive management to business line employees) using BI tools, Python and SQL queries.

Required data analyst
lead analysis across the user journey, including how people discover the company, what they create, whether apps get to real usage and value, and how it affects the business.
own the data lifecycle from clarifying the question to data quality and the final story; challenge the why and how, ai and drive solutions.
set up the analytical backbone of this fast growing product by defining the business questions, establishing a coherent measurement map and reporting logic everyone can use.
identify patterns and anomalies across users, markets, and time, and translate findings into clear business implications.
enable decisions at speed by building trustworthy reporting that supports day-to-day prioritization and leadership readouts.
we're a newly acquired part of the company, on a mission to change how software gets built. our ai-powered platform empowers anyone to create custom software applications using natural language- no traditional coding required. operating like a startup within the company, we're fast, collaborative, and focused on turning complex problems into simple, powerful solutions.
we exist for creators, solo founders, startups, entrepreneurs, side hustlers, and everyone who wants to turn their ideas into reality. whether you're launching a product, validating a concept, or exploring a hunch, the company helps you build it.
we're growing fast, the opportunity is huge, and with your help, our user-driven growth can become unstoppable.

Required Fraud Analyst
Israel - Tel Aviv
About the role:
As a Fraud Analyst, you will be responsible for one of the most critical assets in the company: maintaining the accuracy, reliability, and performance of what is widely considered the leading e-commerce fraud decisioning system in the industry.
You will be expected to think analytically and creatively, constantly improving how we identify fraud and protect legitimate customers. Your work will focus on solving real and evolving business challenges faced by some of the worlds largest and most advanced online retailers. In this role, you will also have direct exposure to key customers, providing analytical insights and helping tailor solutions to their specific needs.
This position has strong technical and analytical depth, but prior coding experience is not required. We believe great analysts can learn the technical tools they need as part of the role through structured training and hands-on work. We hire across multiple levels and adjust the scope and level of ownership based on what we learn during the interview process.
You will join a dynamic, high bar department with a strong culture of excellence, curiosity, and ownership. We work in an informal and collaborative environment where people learn fast and ideas matter. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial roles, allowing you to shape your career based on your strengths.
Your work will directly impact our product, protect millions of customers, and help shape the future of trust in digital commerce.
What you'll be doing:
Design, implement, and continuously improve decisioning logic running in live production systems
Research complex fraud patterns, adversarial behaviors, and emerging threats
Analyze large scale datasets to extract actionable insights and improve decision accuracy
Develop and automate analytical processes to increase efficiency and scalability
Work closely with Data Science, Engineering, and other cross functional teams to drive platform improvements

As part of the team, you will be responsible for developing, testing, improving, and maintaining new and existing solutions to help users retrieve data effectively.
What am I going to do?:

* Build and maintain ETL processes to integrate data from various sources.
* Transform and model data models, design the schemas, and maintain the data layers within the data warehouse using dbt
* Manage the data warehouses to support analytical reporting and Real-Time needs.
* Develop, optimize, and manage database entities.
* Translate business requirements into data model implementations.
* Ensure data accuracy and enforce governance policies through data quality checks and validations.
* Work closely with cross-functional teams, including data Engineers, Business Analysts, Products, and RND, to gather and understand data requirements and implement development in order to support their data needs
* Evaluate and implement new tools and technologies to enhance data processes and capabilities.
* Coordinate and deliver data development projects, ensuring they are completed on time and meeting quality standards.
* Identify and resolve data -related issues and discrepancies. Provide support for data incidents and troubleshoot problems as they arise.
* Stay updated with the latest trends and technologies in the data filed
* Suggest design, product, and process changes for better efficiency and effectiveness.
Equal opportunities:
At our company, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. we are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, our company will provide accommodation to individuals with disabilities or a special need.