דרושים » תוכנה » Senior Data Analyst

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 Data Analyst you will be working with colleagues from various disciplines, such as - Product, Engineering, Marketing, Sales, Customer Success, Risk, Data Scientists within the team and other Data Analysts - on their KPIs, the way they observe information and the hardest questions each team is facing in order to drive insights and keep a data driven company.
You will play a key role in the ability of each team at to keep scaling!

We're looking for a Senior Business Analyst to help build the technical foundation that powers our cross-sell growth and revenue measurement across all DTC products.
You'll join our Analytics team in Tel Aviv to create the data infrastructure that turns customer journeys into measurable expansion opportunities. As we scale across insurance lines, this role bridges the gap between raw data and the automated systems that drive our AI-powered revenue growth.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Facilitate cross-sell initiatives by building data frameworks (identity resolution, behavioral tagging) that help Company Leads and Product teams identify and measure opportunities across car, pet, and renters products
Automate revenue measurement systems by taking existing MMM, incrementality, and attribution models and building the ETL logic layer that makes them work together autonomously
Drive MarTech and revenue automation through DBT models that ensure seamless data flows between our warehouse and platforms like Google Ads and AppsFlyer
Contribute to partnership systems by supporting the technical rebuild of our partnership data infrastructure for accurate tracking and attribution of third-party leads
Collaborate with Data Platform teams to ensure revenue requirements are reflected in our data stack, acting as the technical bridge between raw data lakes and business analytics
Enable revenue squads by building shared DBT models and centralized tracking systems that Car, Pet, and Renters teams need to hit their DTC goals
Build scalable frameworks that turn analytical concepts into production-grade, automated pipelines within our data warehouse,

We are looking for a Senior Analytics Engineer to help design and build the engineering foundation that powers analytics across the organization.
Our goal is to create a modern data environment where analytics development is fast, reliable, scalable, and increasingly automated. This includes building strong data warehouse foundations, scalable modeling layers, and introducing AI-powered tools and automation that accelerate how data products are built and used.
In this role, you will be part of an analytics squad, working closely with analysts and business stakeholders while building the infrastructure, automation frameworks, and intelligent tooling that enable analytics to scale across the organization.
This is a unique opportunity to help build the next generation of the data organization.
Key Responsibilities
Lead AI adoption in the analytics platform, building tools and workflows that automate analytics development, dashboards, and data exploration
Design and build scalable data warehouse models and transformation layers
Build and optimize ETL pipelines and core analytics infrastructure (Bronze / Silver)
Improve performance, reliability, and scalability of the analytics platform
Develop automation and internal tools that accelerate analytics workflows
Enable self-serve data access across the company through semantic layers and reusable datasets
Collaborate with analysts and business teams within an analytics squad.

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 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.
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.

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.

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 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.

Required Senior Business Analyst
The Senior Business Analyst will lead strategic and tactical initiatives across the organization, translating complex data into actionable insights and measurable business outcomes. This role requires strong ownership, independent execution, and close collaboration with cross-functional stakeholders.
Key Responsibilities:
Own and lead end-to-end analytical projects tied to core business processes, with direct impact on revenue growth, cost efficiency, and profitability.
Analyze business performance across products, channels, and customer segments, and translate insights into clear recommendations for strategic and tactical decision-making.
Build, maintain, and continuously improve reports, dashboards, and KPIs to support business monitoring and executive decision-making.
Partner with stakeholders across Strategy, Marketing, Product, Operations, and Finance to drive execution and ensure alignment with business objectives.
Conduct deep customer analysis, including segmentation, lifetime value, profitability, behavioral trends, and cohort analysis.
Work with large, complex datasets and develop scalable analytical tools to streamline processes and improve operational efficiency.
Deliver ad-hoc analyses under tight timelines to support fast-paced business decisions.
Ideal Candidate Profile:
A proactive, hands-on business analyst who takes full ownership of initiatives from problem definition through execution and measurable impact.
Strong commercial mindset with the ability to connect data insights to P&L drivers, growth levers, and profitability optimization.
Comfortable operating independently in a fast-growing, dynamic environment, while influencing stakeholders without formal authority.
Highly analytical, detail-oriented, and driven by turning data into clear actions and results.

Were Hiring BI & Product Analyst
About The Position
Join Our Mission
We are dedicated to creating a world where every older adult receives the care they truly deserve. Guided by compassion and driven by innovation, we aim to redefine the future of caregiving. If youre passionate about making a meaningful impact, join us in advancing our virtual assessment tool. This cutting-edge technology monitors seniors' health in their homes 24/7, delivering emergency alerts, actionable insights, and predictive analysis to enable proactive and effective care.
Here, youll discover exciting opportunities for professional growth, make a direct and meaningful impact on our products and company, and contribute to a mission that truly matters.
Position Overview:
Are you passionate about turning data into real-world impact? were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbers-youll unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategy-empowering teams across the company to make smarter, faster, and more impactful decisions.
Key responsibilities:
Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.