דרושים » תוכנה » Senior BI Engineer

were 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, youll 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.

Youll 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 Youll 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.

Build Analytics Excellence
Establish analytical methodologies, standards, and best practices across the organization.
Lead the companys approach to experimentation, KPI definition, and performance measurement.
Mentor analysts and help raise the overall analytical capabilities of the team.
Promote a culture where data-driven decision-making becomes the default.

Drive Product, Growth & Subscription Analytics
Partner with teams across the customer lifecycle, from acquisition and activation through conversion, retention, and monetization.
Analyze user behavior, subscription performance, pricing initiatives, and product changes to uncover growth opportunities.
Connect analytical findings to clear business actions and measurable outcomes.

Shape the Future of AI in Analytics
Leverage AI tools to accelerate analysis, insight generation, and decision-making.
Help design AI-powered analytical workflows and data analysis agents.
Continuously identify opportunities to improve how analytics creates business value through AI.

Improve Analytics Infrastructure
Identify gaps in tracking, data quality, measurement, and reporting.
Partner with data and engineering teams to improve data availability, reliability, and accessibility.
Drive the development of dashboards, alerts, and scalable self-service analytics capabilities.
Ensure business teams can confidently access and interpret the data they need.

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 analytics domain for key products and strategic initiatives.
Analyze large-scale operational and product datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs, 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.
Utilize modern AI-assisted development tools (such as Claude Code) to accelerate analysis, automation, and development workflows.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

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

We're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across .
You'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build next-generation data stack.
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
Lead technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
Manage the technical roadmap - set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements
Drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers
Establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
Create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
Implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer
Establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
Lead cross-team collaboration - work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals

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).

As our company continues to scale, were looking for a Product Data Analyst to join our Product team. In this role, youll blend strong analytical skills with operational execution to help our product and go-to-market teams make data-informed decisions. About 70% of your time will be spent analyzing product and customer data, building dashboards, and delivering insights that will shape the future of our product. The remaining 30% will focus on supporting our data operations - ensuring our data processes, tools, and reporting cadences run efficiently, implementing best practices.

Youll sit directly within the Product organization, collaborating closely with Product Managers, Designers, and Engineers to improve how we use data across a growing suite of B2B SaaS products and within our organization.

Responsibilities
Analytics
Analyze product usage and customer behavior across multiple SaaS products to uncover insights that guide roadmap priorities and growth opportunities.
Build and maintain dashboards and reports in Snowflake, Redash, Metabase, and Mixpanel using SQL to support Product, GTM, and leadership teams.
Define and track key metrics such as activation, retention, adoption, ARR growth, and engagement.
Run ad-hoc analyses to answer business questions and support experiments or feature evaluations.

Data Operations
Collaborate with Engineering and Data teams to enhance analytics setup and data workflows.
Partner with Engineering teams to ensure clean data instrumentation, event tracking, best practices for data, and measurement implementation across product features.
Maintain and improve data quality processes, pipeline documentation, and operational standards to support reliable decision-making.

Were looking for a Data Engineering Team Lead to take ownership of Ports data engineering team and help shape the future of agentic engineering portals. This is a hands-on leadership role: youll guide a team, drive technical direction, and help establish Ports data warehouse both for product use cases and for internal business analytics.

What youll do:

were building a platform by developers, for developers. As a Data Engineering Team Lead, youll balance leadership and data engineering work - setting technical direction while enabling your team to thrive.

Your responsibilities will include:

Lead the design and development of scalable and efficient data warehouse and BI solutions that align with organizational goals and requirements.
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs.
Implement ETL/ELT processes to assist in the extraction, transformation, and loading of data from various sources into a shared data warehouse.
Identify and address performance bottlenecks within our data warehouse, optimize queries and processes, and enhance data retrieval efficiency.
Develop and provide a data backend for product facing features such as usage analytics, data insights and enabling an agentic context lake
Collaborate with cross-functional teams (product, R&D, analysts) to deliver actionable data solutions tailored to their needs.

Were looking for a Data Engineer to join our company. This is a hands-on, cross-functional role focused on owning and improving our data quality, pipeline reliability, and modeling infrastructure. Youll be responsible for managing and optimizing our DBT models, ETL processes, and data connectors - and will work closely with product, operations, and engineering teams to ensure data is accurate, consistent, and accessible.

You should be someone who thrives on autonomy, takes pride in clean and scalable solutions, and enjoys helping others get the data they need.

In this role you will
Architect our entire DBT project and data warehouse structure completely from scratch-a rare, high-impact opportunity
Lead data modeling efforts: Translating business needs into scalable, reliable data models
Build and monitor data pipelines and connectors from various internal and external systems
Ensure high standards of data quality, consistency, and documentation
Collaborate with engineering, product, and operations teams to understand needs and build data solutions
Proactively detect data issues and work to resolve them
Help define and improve internal data best practices and standards
Support data governance efforts and advocate for trustworthy, well-modeled data
You will be one of the pioneers of a new team - passion & energy is required

Director, Business Intelligence & AI to join our Business Applications organization. This is a senior individual contributor role with a director title and light team leadership (5 people), sitting at the intersection of data strategy, architecture, and execution. You'll own the data foundation that powers our company's most critical business decisions - from GTM and revenue analytics to operational intelligence across the organization.

You'll report to the VP of Business Applications and work closely with stakeholders across Finance, Sales, Marketing, Customer Support, Product, R&D, and HR to ensure our data assets are trustworthy, scalable, and increasingly AI-ready



What will you do?

Architecting the data foundation that makes it possible for business users to ask questions in plain English and get trusted, real-time answers.
Define and execute a strategy to migrate from traditional BI (dashboards, scheduled reports) toward AI-powered, natural language interfaces for business intelligence
Architect the data layer that enables LLM-based querying - including semantic layers, vector stores, knowledge graphs, and metadata enrichment - so that AI agents can reliably reason over company data
Design and own a scalable, AI-ready data architecture - warehouse/lakehouse structure, semantic layer, and data contracts - that supports both analytical and AI/ML workloads
Build robust data modeling foundations (clean entities, clear metrics definitions, consistent taxonomies) that LLMs can reason over accurately
Serve as a trusted advisor to business leaders across GTM, Customer Success, Finance, and Product - proactively engaging them to understand their decision-making needs
Translate ambiguous business questions ("why is churn spiking in the mid-market?") into well-defined data problems, and then into scalable, AI-powered solutions
Build strong relationships with stakeholders at all levels - from individual analysts to VP and C-suite - and maintain a prioritized roadmap that reflects real business value

Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. 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.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineeing 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
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy