לוח משרות דרושים Data Analyst משרה מלאה

As a Product Data Analyst, you will play a pivotal role in driving data-based decision-making and shaping product direction across the organization. You will oversee complex analytical initiatives, guide the development of KPIs and performance frameworks, and partner with product, engineering, and business leaders to influence strategic priorities.

we are looking for a Senior Data & Business Analyst to lead analytics and business health indicators across our operational and company-wide domains. This is a senior individual contributor role combining strategic thinking, deep hands-on analytical execution, and strong cross-functional business partnership. Youre welcome to work in our office in Tel Aviv.
The role requires the ability to operate at two levels simultaneously: understanding the full business picture while diving deep into complex datasets and technical execution. You will work closely with Operations, Finance, and other cross-functional teams to improve efficiency, transparency, and decision-making across the organization.
Your responsibilities will include:
Own end-to-end analytics for core operational processes.
Define, build, and maintain company-level operational and business health KPIs.
Translate ambiguous, cross-functional business questions into structured analytical frameworks.
Write advanced, high-performance SQL to extract, model, and analyze complex datasets.
Lead deep-dive analyses to uncover operational inefficiencies, financial impact, and process gaps.
Connect data across systems and explain upstream and downstream business impact.
Independently identify high-impact problems worth solving, not only respond to requests.
Drive cross-functional analytical initiatives at a company-wide level.
Present insights, trade-offs, and recommendations to senior leadership.
Synthesize complex findings into concise executive-level narratives.
Influence decisions and drive measurable impact based on data.
Act as a central analytical partner across multiple business domains.
Lead initiatives and move stakeholders forward without direct authority.

looking for a Medical Data Analyst to join our growing Implementation group, reporting to our Squad Lead. The ideal candidate will be responsible for ensuring the successful implementation of new clients and analyzing both historical and real-time client data.



As a Medical Data Analyst, you will:

Analyze and understand clients business objectives, coding patterns and methodologies in order to configure Clinical language understanding engine for optimal performance.
Support clients throughout the technical integration and engine onboarding processes, documenting solutions and proactively improving client-specific outcomes through hands-on work with our codebase to adjust configurations, scripts, and rules.
Actively troubleshoot, investigate, and resolve coding discrepancies, distinguishing issues arising from client-specific configurations versus core engine functionality.
Provide solutions for alerts and incoming escalated tickets from our customers.
Collaborate across multidisciplinary teams - including engineers, linguists, medical doctors, product managers, customer success managers and coders -to ensure smooth project execution and effective communication.

looking for a Salesforce System Analyst to join our growing Professional Services Team and to play a key role in designing solutions and translating complex business needs into efficient processes and technical plans. You will lead projects from scratch, manage all project documentation, and work closely with clients to resolve complex issues in a fast-paced environment.

Summary of Key Responsibilities

Understand customers needs, current workflows, and design implementation plan to address those needs.
Configure Salesforce platform in client environment as per Statement of Work and implementation plan.
Communicate the client's needs for the new implementation.
Work with client Success teams to successfully transition the account from the implementation period to the launch, training, post-launch, and adoption period.
Lead, define, and prioritize business functional requirements.
Set and manage deadlines with clients and internal team: assign responsibilities, monitor the progress of projects, create weekly client status reports, an

We are looking for a FP&A, Data & AI Analyst to help build the data foundation for an AI-enabled FP&A function .

This is not a traditional FP&A role.

This role will focus on building and maintaining the finance data infrastructure that powers forecasting, revenue analysis, collections visibility, gross margin insights, and executive decision-making.

You will work across multiple systems and data sources, helping create a reliable single source of truth for finance and business performance. Over time, this role will also support the creation of structured AI workflows and analytical routines that make our finance function faster, smarter, and more scalable.

Who are you?
You are a strategic and analytical finance professional who thrives on turning complex data into actionable insights that guide key business decisions. You excel in a dynamic environment, take full ownership of your work, and enjoy collaborating across teams to drive growth and operational excellence. With strong financial modeling skills and a natural curiosity for data, analytics, and emerging AI tools, you are motivated by the opportunity to help build scalable financial infrastructure in a fast-growing company.

Key Roles and Responsibilities
Finance Data Infrastructure & System Connectivity

Maintain and improve recurring data flows across our core systems (ERP, CRM, operational systems, and manual finance sources)
Extract, reconcile, and normalize data from multiple business and finance data sources
Build and maintain clean, reliable datasets that support finance reporting and business analysis
Help establish a structured finance data layer / semantic layer across key metrics
Reporting, Forecasting & KPI Enablement

Build recurring datasets and logic for:
Revenue reporting
Bookings / pipeline tracking
Invoicing and collections
Gross margin analysis
Renewal / retention views
Forecast vs. actual analysis
Support weekly, monthly, and quarterly management reporting
Help improve visibility into business performance through scalable reporting structures rather than manual ad hoc work
Metric Definition & Data Governance

Help define and document core business and finance KPIs
Maintain consistency across definitions such as bookings, revenue, collections, gross margin, retention, and forecasting metrics
Identify data quality issues, inconsistencies, and reconciliation gaps
Work with finance and operations leadership to improve data discipline across the organization
Automation & AI-Enabled Finance Workflows

Help structure finance datasets so they can be used by AI-driven workflows and recurring analytical routines
Support the design of repeatable workflows for:
Variance analysis
Collections prioritization
Revenue bridge analysis
Forecast refreshes
Gross margin monitoring
Contribute to building a more AI-native finance operating model over time
Business Partnership

Work closely with the COO, Finance leadership, and cross-functional teams
Turn business questions into structured data models and repeatable analyses
Support leadership with fast, accurate, decision-oriented insights

Were looking for a Business Analyst - HR / People Analytics to join our fast-growing Business Analytics team and focus on building scalable people and workforce analytics capabilities across the company.
This role partners closely with People (HR), FP&A, and Data teams to deliver insights on workforce trends, hiring effectiveness, headcount planning, and people-related financial impact. The role complements existing HR analytics capabilities by focusing on cross-functional, strategic, and company-level analytics, in addition to operational HR reporting.
Youll combine strong analytical skills, understanding of people data, and business storytelling to help leadership make informed decisions about workforce planning, organizational health, and cost management.
Responsibilities
Talent & Recruitment Analytics
Analyze recruitment funnel metrics including time-to-hire, time-to-fill, conversion rates, and hiring velocity.
Support hiring plan tracking and capacity analysis in collaboration with HR and Finance.
Work closely with the HR Ops supporting Greenhouse to align data definitions and reporting logic.
Identify bottlenecks and improvement opportunities in the hiring process through data-driven analysis.
People & Workforce Analytics
Analyze workforce trends including headcount evolution, attrition, retention, internal mobility, and tenure.
Build reporting and insights around employee lifecycle metrics and organizational structure.
Partner with HR to improve data quality, definitions, and consistency across people systems.
Deliver actionable insights to People leadership and senior management on workforce health and risks.
Headcount, Cost & Financial Impact Analysis
Partner with Finance and FP&A to support headcount planning, forecasting, and scenario analysis.
Analyze the financial impact of hiring plans, attrition, and organizational changes on operating expenses.
Support workforce cost modeling, including payroll and people-related expenses.
Help align people plans with budget targets and company-level financial objectives.
Data & Analytics Operations
Use SQL and Snowflake to extract, structure, and analyze people-related data.
Build end-to-end dashboards and reports using Tableau (preferred), from data modeling to visualization.
Collaborate with Data /BI team to improve data pipelines, governance, and reporting infrastructure.
Leverage automation and AI-driven tools where applicable to improve reporting efficiency and scalability.
Cross-Functional Collaboration & Communication
Act as a trusted analytics partner to HR, Finance, and leadership stakeholders.
Translate complex data into clear insights and business stories for executive audiences.
Prepare presentations and analysis for leadership reviews, planning cycles, and strategic discussions.
Contribute to the continuous improvement of people analytics frameworks and reporting standards across the company.

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.

as a revenue operations manager, you'll be at the heart of aligning our gtm teams by managing processes, operations, and analytics. you'll turn complex datasets into actionable growth strategies, own the integrity of our revenue funnel, streamline workflows through automation, and deliver insights that guide our next steps. your goal is to ensure data clarity and operational efficiency across the entire customer journey-from initial lead to long-term retention.
maintain a "single source of truth" by managing database hygiene, lead routing, and the end-to-end lead-to-cash process
administer the tech stack and design scalable integrations between the CRM and third-party tools like gong and zoominfo/clay, ensuring minimal data friction
identify bottlenecks in the sales funnel through data analysis and implement automated workflows to boost team efficiency
build and maintain dashboards to track north star metrics, providing proactive insights to leadership and gtm teams
deliver weekly reports on pipeline health, sales velocity, and churn trends
drive team adoption of tools, processes, and integrations through data -backed training sessions and documentation
we're a newly acquired part of the company, on a mission to redefine how software is built. our ai-powered platform enables anyone to create custom software applications using natural language-no coding required. operating like a startup within the company, we're fast, collaborative, and focused on solving complex problems with simple, powerful solutions.
we exist to empower creators, solo founders, startups, entrepreneurs, and side hustlers to bring their ideas to life. whether you're launching a product, validating a concept, or exploring a new idea, we are here to help you build it.
we're growing rapidly, the potential is immense, and with your expertise, we can drive user-driven growth to new heights.

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.