We are looking for an experienced Data Product Manager with a strong Data Science and Analytics background to own and lead data driven solutions.
In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.
Key Responsibilities
Marketing Data Product Ownership
Own the vision, roadmap, and delivery of Marketing Data Science and Analytics products
Align initiatives with business goals such as acquisition efficiency, ROI optimization, revenue growth, and funnel performance.
Act as the single point of ownership for marketing-related data, analytics, and data science products across teams.
Define data requirements, metrics, and success criteria for new initiatives, including identifying gaps in existing data.
Collaborate with Data Engineers and Analytics Engineers to design scalable data pipelines, data models, and semantic layers that support analytics, experimentation, and advanced modeling.
Prioritize initiatives based on business impact, scalability, data maturity, and clarity of success metrics.
Business Analytics, Data Science & AI-Driven Marketing Optimization
Define and own the business logic behind marketing KPIs, ensuring clear, consistent, and trusted metrics across teams.
Work closely with stakeholders to understand what needs to be measured, why and how.
Lead data science, analytics, and AI initiatives that optimize marketing performance
Own and evolve core marketing models including attribution, MMM, LTV prediction.
Define success metrics and measurement frameworks for models, experiments, and AI-driven decisions.
Drive experimentation frameworks (A/B tests, geo-experiments, uplift modeling) to continuously improve performance and decision quality.
Design and deploy AI-powered and agentic solutions to automate and scale marketing workflows such as budget allocation, campaign optimization, and creative testing.
Ensure solutions are production-ready, measurable, explainable, and actionable for business stakeholders.
Translate complex model outputs into clear, trusted insights for business users.

we are looking for a Data Analyst.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key Autofleet products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

Required Senior BI Analyst
About the role:
Data only creates value when people can see it, trust it, and act on it. As Senior BI Analyst, you own that last mile: the BI platform everyone opens to answer their questions, and the KPI definitions that make sure the numbers on every dashboard mean the same thing across every team.
This is the business-facing anchor of our analytics function. You'll build and govern the reporting layer, define the metrics that leadership runs the company on, and lead the Business Analyst guild - the network of domain analysts embedded across GTM, Finance, CS, and Product. You're equal parts platform owner, metrics authority, and enabler of the analysts around you.
If you love turning messy business questions into clear, trusted, self-serve answers - and raising the analytical bar for a whole company while you do it - this role is for you.
What youll own:
Own the BI platform end-to-end - Design and manage the dashboard architecture, set standards for report building and certification, manage access/governance, and keep the platform performant and trusted
Define and govern company-wide KPI metrics - Build a certified KPI catalog with documented logic and ownership; arbitrate metric definitions across teams so "win rate" means the same thing everywhere and is encoded once in the semantic layer
Drive self-serve analytics adoption - Empower stakeholders to answer their own questions by making the platform accessible, intuitive, and built on trusted definitions
Co-lead the Analytics guild - Convene and lead the company-wide community of practice connecting domain analysts; run enablement, tooling decisions, and reviews to keep everyone aligned on standards and the certified KPI catalog
Bridge analytics and engineering - Partner with the AI Data Engineer to ensure business definitions translate consistently into technical implementations across dashboards and AI agents
What you'll do day to day:
Design, build, and maintain governed dashboards and reports that stakeholders actually use.
Curate the certified KPI catalog - definitions, logic, ownership, and change control.
Partner with GTM, Finance, CS, and Product to translate business questions into clear, reusable metrics.
Drive self-serve BI adoption and reduce ad-hoc reporting requests.
Run the Business Analyst guild: standards, reviews, enablement, and tooling.
Work with data engineering to keep KPI definitions aligned with the semantic layer and underlying models.
Own the health of the BI platform: access, performance, certification, and cleanup.

We are seeking an experienced sharp and dynamic analytical mind to join our Product Analytics team as a Strategic product analyst. This position is ideally suited for those who are naturally passionate about learning, gaining knowledge, and analyzing anything they do and see with experience in utilizing data to make a significant impact.
The role requires a combination of analytical, technical, problem-solving, communication, and project management skills, and it involves working closely with various stakeholders and customers - including Product Managers, Customer Success Managers, Operations teams, Data Engineers, UI/UX Designers, SW developers, and AI experts at all levels.
Responsibilities:
As a Strategic product analyst at Aidocs Analytics group, you will play a critical role in expanding our data-driven vision and building analytics capabilities that create value for both our customers and internal teams. Your work will include:
Building scalable customer-facing analytics and data-sharing products, transforming complex data and customer needs into reliable, intuitive, and standardized solutions.
Partnering with Customer Success and Product teams to understand how customers use our products, identify opportunities to improve adoption and demonstrate value, and translate site needs into scalable analytical solutions.
Leading strategic analyses across products, workflows, and clinical domains, connecting data from multiple parts of Aidocs ecosystem to uncover insights and support business and product decisions.
Designing product KPIs and measurement frameworks, monitoring trends, and working with key stakeholders to translate findings into actionable insights.
Conducting decision-support analyses for Product, Customer Success, development, and operational initiatives.
Designing and improving scalable data models and analytics infrastructure that support customer-facing products, internal analytics, and repeatable analytical capabilities.
Continuously expanding our analytics knowledge base, improving data quality and reliability, and documenting learnings to strengthen the teams collective expertise.

As a Senior Data Engineer , you will play a key role in building and scaling the companys data infrastructure. Youll be responsible for creating the foundation that enables teams across the organization to access, analyze, and leverage data effectively. Working closely with Data Science, Delivery, Product, GTM, and Analytics teams, youll design and maintain data pipelines, manage our data warehouse, and transform raw data into structured, reliable assets that power business and product decisions.



What Youll Do

Build and Manage Data Infrastructure: Own and maintain Nomas data warehouse infrastructure, ensuring scalability, reliability, and performance
Develop Data Pipelines: Design, build, and maintain data pipelines that transform company data into structured, queryable assets
Enable Data-Driven Decisions: Partner with Engineering, Data Science, Product and Analytics teams to deliver trusted data foundations and actionable insights.
Create BI Dashboards: Build and maintain dashboards and reporting layers that support product, and operational decision-making
Ensure Data Quality and Accessibility: Implement best practices for data modeling, governance, monitoring, and reliability

we're looking for a Head of Analytics to define and elevate how analytics is practiced across the organization.
This is a senior individual contributor role with broad organizational influence. Beyond delivering insights, you'll define how success is measured, establish analytical standards and methodologies, and help teams across Product, Growth, Marketing, Sales Operations, and Content make better decisions with data.
You'll serve as a trusted advisor to senior stakeholders, raise the analytical maturity of the organization, and help drive the next generation of AI-powered analytics.
What You'll Do:
Promote Data-Driven Decision Making
Partner with Product, Growth, Marketing, Sales Operations, and Content teams to understand business challenges and enable better decision-making.
Define KPI frameworks and measurement strategies that align with business goals.
Translate complex business questions into clear analytical approaches and actionable recommendations.
Act as a trusted advisor to stakeholders, challenging assumptions and influencing decisions through data.

we are looking for a Data Analyst
Responsibilities

Own and define key product, business, and customer KPIs across the company
Analyze usage, funnels, monetization, and customer behavior to identify growth opportunities and friction points
Build and maintain dashboards and reports that give teams clear, reliable visibility into performance
Partner with Product and Business to evaluate new features, initiatives, and experiments, and measure their impact
Drive customer value by delivering external-facing data solutions, actionable insights, and industry benchmarks to empower data-informed decision-making.
Work closely with engineering and data stakeholders to improve data quality, structure, and accessibility
Help foster a data-driven culture by making insights understandable and actionable for non-technical stakeholders

Were looking for a BI & Data Engineering Team Lead to join our BI team and take end-to-end ownership of high-impact analytics foundations while mentoring a team of 4-6 talented BI Data Engineers. This role sits at the core of how measures success, makes decisions, and scales-turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.

In this role, you'll combine people leadership with hands-on technical depth (roughly 30% of your time), owning the roadmap, architecture, and delivery of BI platform. Youll shape how AI and agentic workflows transform the way BI is built and consumed, helping raise the bar for analytics engineering across the company.

Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed 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 owning data foundations end to end - from raw data to semantic layers while leading and growing people
You like turning ambiguous business questions into clear, governed metrics and scalable data models
You care about data quality, performance, and trust at scale, as well as optimization and FinOps practices
You enjoy mentoring, setting technical standards, and leading by example with a hands-on approach (~30%)
You actively leverage AI tools and agentic automations to improve development speed, analytical accuracy, and metric governance

We are looking for an experienced Analytics Engineer to join our Clinical Value team and develop the data foundations, infrastructure, and analytical tools that enable our work.
This hybrid role combines Analytics Engineering with hands-on data analysis. You will translate complex analytical and clinical needs into scalable, reliable, and reusable data solutions.
You will design data models, pipelines, analytical layers, and tools that enable complex Clinical Value studies across products and customers, while remaining hands-on with selected analytical projects.
You are expected to be independent, proactive, and impact-oriented, taking end-to-end ownership of technical challenges and opportunities for improvement.
evaluation.
Responsibilities:
Design, build, and maintain the data infrastructure supporting Clinical Value analyses, including reusable data models, pipelines, analytical layers, and tools.
Own the technical and analytical implementation of complex Clinical Value applications, adapting established methodologies to different products, customers, and real-world data environments.
Develop complex analytical solutions into reusable and scalable frameworks, enabling broader and more efficient execution across the team.
Identify data-quality issues, technical bottlenecks, and repetitive processes, and develop solutions and automation to improve reliability and efficiency.
Work closely with analysts, Data Engineering, and other technical teams to translate analytical needs into effective, maintainable data solutions and establish best practices.
Lead selected hands-on data-analysis projects, analyzing complex clinical and operational datasets to generate credible, actionable conclusions.
Collaborate with Go-to-Market teams, including Customer Success, to understand customer needs and support impactful customer-facing value demonstrations.