דרושים » תוכנה » Senior Product Analyst

We are looking for a sharp, data-driven Senior Product Analyst to join our Tel Aviv team. You will be the analytical backbone of our monetization optimization efforts, focusing on high-velocity testing and monetization strategies. You will support analytics related to product experiments. In this role, you will not only report on results but dive deep into why specific changes occurred, bridging the gap between raw data and product strategy. You will work closely with our Data Science, Product, and Dev teams to ensure data-driven decision-making in a fast-paced environment.
What Youll Do:
A/B Testing & Statistical Analysis
Analyze multiple test results simultaneously, applying rigorous statistical methodologies to validate findings.
Critically evaluate experimental setups to identify and raise flags regarding incorrect test designs or sample biases before they impact decision-making.
Support a high-paced testing environment by providing quick, accurate results and insights to support ongoing optimization efforts.
Deep-Dive Analytics & Insights
Run in-depth deep-dive analyses aimed at explaining why a certain change brought (or didn't bring) the desired result, rather than just reporting the outcome.
Translate complex data outcomes into actionable recommendations that help the team formulate new hypotheses for future tests.
Present findings on user insights to stakeholders, recommending concrete next steps to inform content and product decisions.
Model Evaluation & Collaboration
Work intimately with Data Scientists to evaluate machine learning model performance.
Determine if new models perform better or worse than previous iterations and provide granular feedback to the broader team.
Advocate for new data collection or feature engineering that would improve model accuracy or analysis capabilities.

looking for a Senior Product Analyst to join the central Data team and help drive both product growth and customer experience improvements through data. The analyst will serve as a key partner for the Product, Engineering, and Customer Experience teams-owning the analysis and reporting that connect how people use the product with how they experience it day to day.

Responsibilities

Analyze product usage and customer behavior to identify trends, friction points, and opportunities for improvement.
Build and maintain dashboards and reports that track key metrics such as adoption, engagement, retention,.
Partner with Product Managers to define success metrics for new features and monitor their impact after launch.
Conduct deep-dive analyses to guide roadmap prioritization and improve customer satisfaction.
Support experimentation (A/B tests) and measure the impact of product and CX initiatives.
Work closely with Engineering and Data teams to ensure accurate tracking and reliable data foundations.
Respond quickly to ad hoc data requests from Product.

We are looking for a senior, hands-on Product and Business Analyst to lead analytics within one of our core B2C app pods. This is not a reporting role. You will own the analytical direction of the pod, shape product decisions, and raise the bar on experimentation, rigor, and business impact.
You will work closely with Product, R&D, Monetization, and Marketing to drive onboarding, activation, retention, and revenue growth. The right candidate combines strong statistical depth with sharp business judgment and the ability to influence non-analytical stakeholders.
What You Will Own
Pod Performance Leadership
Own core product KPIs across onboarding, activation, engagement, retention, and monetization
Build and maintain a clear funnel view with defined breakpoints and drivers
Proactively identify risks and growth opportunities, not just respond to requests
Lead weekly and monthly business reviews with clear narratives and recommendations
Experimentation Excellence
Lead end-to-end A B testing lifecycle: hypothesis design, sizing, guardrails, analysis, and decision framing
Apply strong statistical thinking: power analysis, bias detection, novelty effects, false positives
Partner with PM and R&D to improve instrumentation and experiment quality
Ensure decisions are grounded in data and clearly translated into business tradeoffs
Data and Analytics Infrastructure
Work deeply with SQL across large datasets including DBT
Use Python for advanced analysis and experimentation workflows
Operate across Databricks, Redshift, AWS environments
Leverage Mixpanel and GrowthBook for behavioral analytics and experimentation
Build scalable Tableau assets that drive self-serve and reduce ad hoc noise
Define data quality standards in collaboration with Data Engineering
Stakeholder Influence and Cadence
Translate complex analyses into simple, actionable stories
Challenge vague assumptions and push for clarity in success metrics
Create structure and consistency in how the pod uses data
Raise the analytical standards across the team.

Were seeking a Senior Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base. In this role youll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.
This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations. Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.
What Youll Do:
Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to customers and management in a clear and concise manner.
Present key findings of your analysis to customers around the globe.

Fiverr is looking for a Product Analyst to join our Data team and take ownership over analytics for core product areas. In this role, you will work closely with multiple product and engineering teams, play a key role in product decision-making, and drive business growth through deep data analysis and experimentation. This is a unique opportunity to lead analytics in high-impact product domains and influence decisions at scale.

What am I going to do?:

* Own analytics across core product areas and user flows
* Analyze product performance and derive actionable insights
* Plan, run, and analyze A/B tests end-to-end, including experiment design, metric definition, and impact analysis
* Partner closely with Product Managers and Engineering teams as the data focal point for product decisions
* Build and maintain analytical foundations, including tracking, events, funnels, and data processes
* Proactively monitor key metrics, identify trends or anomalies, and communicate insights to stakeholders
* Create visibility through reports, dashboards, and alerts to support ongoing decision-making
* Lead deep-dive analyses and broader business research as needed

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.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.

Here are a few of the things you will do:
Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

Join our company's growing Travel Product Strategy & Analysis team as an Analytics engineer focused on driving strategic product decisions through data-driven insights. You'll be at the center of product investment strategy, working directly with Product Managers, Engineering, Design, Leadership and Data Teams to harness data insights and empower teams to optimize our marketplace and user journey on our company Travel.
As a key member of our small, high-impact team, you'll own business understanding for our travel platforms and serve as the analytical backbone. You will focus on execution by delivering insights, building dashboards, track metrics, develop models and analyze results. This role combines deep data fundamentals and thorough analytical rigor with strategic product thinking to influence investment decisions.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity.

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 a hands on, proactive, and impact driven Senior Business Analyst to join our data team. In this role, youll shape how the company measures success and help embed a strong data driven culture across every domain, from business operations to product, finance, and beyond.

This is an opportunity for someone who thrives in dynamic, fast changing environments, loves building from scratch, and is just as comfortable running deep analyses and leading cross functional measurement discussions as they are partnering with data engineering to design scalable data models that empower the entire organization.

In this role you will
Collaborate with cross functional teams to understand business objectives and develop data driven solutions
Lead measurement and metric discussions with diverse stakeholders, translating needs into clear, consistent, and actionable definitions
Conduct deep dive analyses to uncover insights and deliver impactful recommendations
Partner with data engineering to design scalable data models and improve data accessibility
Build clear, intuitive dashboards and reports to track performance and enable self serve analytics
Proactively monitor business metrics and provide timely insights to optimize operations and identify opportunities
Promote a data driven culture by empowering teams to use data confidently in decision making
Mentor teammates and contribute to the growth and maturity of the data function

Were looking for a Senior Product Analyst who works at the intersection of product, data, and user experience, and acts as a true partner to Product teams. This role goes beyond reporting - its about understanding why users behave the way they do, shaping product decisions, and turning insights into action.
Youll be deeply embedded in how our product evolves, from defining success metrics and running experiments to influencing the roadmap with clear, data-driven recommendations.
Hands-on experience using GenAI to accelerate product analysis, experimentation design, insight generation, and decision-making processes is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy working closely with Product Managers, Designers, and Engineers
You like answering complex questions about user behavior and product performance
Youre comfortable owning analyses end to end - from framing the problem to impact
You thrive in fast-moving, iterative environments
You actively leverage AI tools to improve analytical speed, experimentation quality, and insight depth
You care about outcomes, not just dashboards.