דרושים » כספים וכלכלה » Business Analyst - Inbound

We are seeking a Data Analyst position, with a passion for technology, to solve unique problems within our measurements. 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
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 business targets.
Deep analysis of large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams.
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 strategic road maps.

Were looking for a passionate and creative Financial Business Analyst to join our amazing team.
Responsibilities:
Expense Analysis: Analyze monthly and quarterly expenses against budget and forecast, identifying key variances, trends, and opportunities for improvement. Prepare detailed reports and presentations summarizing findings.
Forecasting and Budgeting: Support the development and maintenance of the company's financial forecasts, including revenue, expenses, and cash flow. Collaborate with budget owners to gather input and ensure accuracy.
Business Partnering: Serve as a trusted finance business partner to assigned budget owners, providing financial insights, analysis, and support to help them achieve their goals. Build strong relationships and understand their business needs.
Performance Reporting: Prepare and distribute regular financial reports, including key performance indicators (KPIs), to management and stakeholders. Identify and analyze trends in financial and operational data.
Financial Modeling: Develop and maintain financial models to support strategic initiatives, scenario planning, and investment decisions.
Ad-hoc Analysis: Conduct ad-hoc financial analysis to support various business needs and projects.
Process Improvement: Identify opportunities to improve existing FP&A processes and reporting, contributing to greater efficiency and accuracy.
Data Management: Ensure the accuracy and integrity of financial data used for analysis and reporting.
Industry Benchmarking: Assist in conducting industry benchmarking analysis to understand competitive performance and identify areas for improvement.
Support Month-End Close: Participate in the month-end close process, ensuring accuracy and timeliness of financial reporting.

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.

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.

We are looking for a highly skilled and detail-oriented FP&A professional to join our finance team. In this role, you will be responsible for developing and maintaining the FP&A platform, creating complex financial models, supporting budgeting processes, and providing data-driven insights to drive strategic decision-making. You will collaborate closely with multiple teams, including subsidiaries abroad, to ensure financial plans align with business goals. This role requires a strong analytical mindset, proven experience in financial planning, and the ability to translate complex data into actionable recommendations.

What am I going to do?:
Act as a true business partner to budget stakeholders on OPEX control and reporting • Conduct periodical OPEX monitoring , variance analysis, and performance reporting • Drive annual budget planning and ongoing forecast cycles Provide financial insights, scenario analysis, and recommendations • Identify risks, opportunities, and efficiency improvements • Improve planning processes and reporting tools to support budgeting, forecasting, and long-term financial planning. • Collaborate with accounting on period-end closing and reporting processes. • Deliver and support with ad-hoc tasks.

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace, from our community to our product. Fiverr is 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, Fiverr will provide accommodation to individuals with disabilities or a special need.

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 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.

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.

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

We are looking for a highly skilled and detail-oriented FP&A professional to join our finance team. In this role, you will be responsible for developing and maintaining the FP&A platform, creating complex financial models, supporting budgeting processes, and providing data-driven insights to drive strategic decision-making. You will collaborate closely with multiple teams, including subsidiaries abroad, to ensure financial plans align with business goals. This role requires a strong analytical mindset, proven experience in financial planning, and the ability to translate complex data into actionable recommendations.
What am I going to do?
Act as a true business partner to budget stakeholders on OPEX control and reporting
Conduct periodical OPEX monitoring, variance analysis, and performance reporting
Drive annual budget planning and ongoing forecast cycles
Provide financial insights, scenario analysis, and recommendations
Identify risks, opportunities, and efficiency improvements
Improve planning processes and reporting tools to support budgeting, forecasting, and long-term financial planning.
Collaborate with accounting on period-end closing and reporting processes.
Deliver and support with ad-hoc tasks.