לוח משרות דרושים הייטק&nbsp;דאטה משרה מלאה, לחיפוש זה נמצאו 188 משרות

11/10/2026

Data Engineer

Location: Merkaz

Job Type: Full Time

We are looking for a motivated and business-oriented Data Engineer to join our global Data & BI team.
In this role, you will design, develop, and maintain modern data pipelines and data solutions that support critical business processes across the organization.
You will work closely with global stakeholders, integrate data from multiple sources, ensure data quality and reliability, and contribute to modern data and AI initiatives.
(*Please note, the internal title for this role is Senior Data & BI Specialist, Business Technology.)
Responsibilities
Design, build, and maintain scalable ETL/ELT pipelines
Develop and optimize complex SQL queries and data transformation processes
Integrate data from internal and external systems, including APIs, databases, and third-party platforms
Own data quality, monitoring, reliability, and governance processes
Investigate and resolve data-related issues while supporting business users
Take ownership of data workflows from design and development through production support
Collaborate with global stakeholders to understand business requirements, analyze data discrepancies, and deliver reliable data solutions
Design, develop, and maintain AI-powered data solutions that support business decision-making and operational excellence
Build and implement monitoring capabilities (e.g. anomaly detection, forecasting, etc.) using modern AI capabilities
Partner with business teams to identify opportunities for applying AI and LLM-based solutions to real-world business challenges
Develop and operationalize AI workflows and data products from proof-of-concept through production deployment.

Requirements:
Bachelors degree in Information Systems, Computer Science, Industrial Engineering, Economics, Business Administration, or a related field
3+ years of experience in Data Engineering, BI Engineering, Data Operations, or a similar role
Extensive experience with Data Warehouse architecture and data modeling best practices
Strong hands-on experience building and maintaining end-to-end data pipelines
Advanced SQL proficiency (must)
Experience working with AWS environments (2+ years)
Hands-on experience with Snowflake, including Snowflake Cortex (2+ years)
Hands-on experience building AI, Machine Learning, or Generative AI solutions
Experience identifying anomalies, patterns, and business insights using statistical and AI-based approaches
Experience integrating AI services into data platforms and business processes
Experience deploying and supporting ML/AI solutions in production environments
Experience with DBT (2+ years)
Experience with ETL/ELT tools and modern data platforms (Rivery, Fivetran)
Experience working in a global company
Experience integrating data from multiple sources and technologies
Strong problem-solving skills and ability to work independently
Strong communication skills and experience working with global stakeholders
High level of English and Hebrew, both written and spoken
Advantages:
Experience with Python
Experience with LLMs, Retrieval-Augmented Generation (RAG), and AI agent architectures
Familiarity with BI and analytics tools
Experience with Amazon Bedrock
Experience working with semantic layers in AI-driven solutions
Experience with Apache NiFi.

This position is open to all candidates.

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8851138

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09/10/2026

Senior Data Analyst

Location: Rishon Letsiyon

Job Type: Full Time

The trivago innovation center is looking for a passionate and seasoned Senior Data Analyst to join our DATA team. In this role, you will take the analytical lead on our disruptive B2C product and play a key role in driving customer acquisition, marketing performance, and strategic business growth. The ideal candidate possesses strong analytical and commercial thinking, a deep understanding of large-scale data environments, and the ability to translate complex datasets into actionable business insights. You will partner closely with Data Science, Product, Marketing, and Business stakeholders to influence decision-making, optimize performance, and support scalable growth initiatives.

About Us:
About trivago Innovation Center (formerly Holisto) We’re part of trivago N.V. , a global B2C travel-tech company headquartered in D?sseldorf, Germany. At trivago Innovation Center, we harness the power of award-winning AI and machine learning technologies to make hotel bookings smarter, more affordable, and perfectly tailored to each traveler. Fueled by our passion for travel and technology, we’ve spent years researching, developing, and refining solutions that help millions of users save money every single time they book.

Requirements:
Experience & Technical Skills: Professional Experience: 5+ years of experience in Data Analysis and interpretation, supporting Marketing, Product, or Business teams in fast-paced environments. SQL: High proficiency in SQL is required, including working with large and complex datasets. BI Systems: Strong experience with business intelligence and visualization tools such as Sisense, Tableau, Looker, or similar platforms. Data Infrastructure: Experience working with modern data warehouse/data lake environments such as Snowflake, Clickhouse, Athena, or BigQuery. Python: Practical knowledge of Python for data analysis and automation workflows. Communication: Excellent communication and stakeholder management skills, with the ability to present analytical insights clearly to both technical and business audiences. Execution: Ability to work independently, prioritize effectively, and drive data-informed decisions in a dynamic environment with tight deadlines. Key Advantages (Nice to Have): Experience working in B2C or performance marketing environments. Experience building and maintaining ETL processes Experience working closely with Data Science teams on experimentation and optimization initiatives. Experience leveraging Agentic AI technologies to enhance analytics workflows, automate insights generation, and support data-driven decision-making. Good to know: Our amazing offices are located in Rishon LeZion, at the iconic Millennium Tower (Tower 1000) We work in a hybrid model: 3 days from the office and 2 days from home

This position is open to all candidates.

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8662069

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08/10/2026

Senior Data Science Researcher

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Data Science Researcher to join Honeycomb's AI team, the team behind underwriting decisions, quote-time risk scoring, and portfolio analytics.

In this role, you will own entire research directions: framing the problem, deciding what's worth measuring, designing the approach from first principles, and turning
the result into production signal. The work is production-oriented applied research on hard, real-world datasets where standard recipes don't apply and the right method
often has to be invented for the problem.

What You'll Do

- Own open-ended research directions end-to-end - from a vague business question to a deployed, validated signal.
- Work across the team's core research areas - risk modeling, environmental and catastrophe modeling, and behavioral modeling - translating complex real-world processes
into reliable predictive signal.
- Deeply investigate existing production models - understand what they actually learn, where they break, and where the headroom is; identify and ship optimizations
grounded in that understanding.
- Design approaches from first principles when off-the-shelf methods don't fit the data.
- Build rigorous evaluations and own the result in production, not just the notebook.
- Document research clearly so findings are reproducible, auditable, and compound over time.

Requirements:
- MSc. or PhD in Statistics, Applied Math, Physics, or a closely related quantitative field.
- Real research experience - a track record of driving original investigations end-to-end (academic research, a research-heavy PhD, industry R&D, or equivalent), not
only applied ML delivery.
- Strong mathematical or statistical problem-solving instincts - able to model a messy real-world system from scratch, not just apply a library.
- Production deployment experience: monitoring, CI/CD, data validation, reproducibility.
- Ability to independently initiate, plan, and drive entire research directions.
- Team player, positive, driven, independent, fast learner.

This position is open to all candidates.

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8849537

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08/10/2026

Data Engineer

Location: Haifa

Job Type: Full Time

This is a full-time, on-site role for a Data Engineer Ltd., located in Haifa. The Data Engineer will design, build, and maintain scalable data pipelines, implement robust Extract, Transform, Load (ETL) processes, and develop efficient data models to support business intelligence and data analytics needs. The role also involves building and improving data warehousing solutions and collaborating with cross-functional teams to ensure data integrity and optimize workflows.

Requirements:
3+ years of experience as a Data Engineer
Strong hands-on experience with Google Cloud Platform
Advanced SQL (BigQuery performance, partitioning, clustering)
Strong Python (data pipelines, APIs, batch & streaming jobs)
Experience building batch and streaming pipelines
BigQuery
Dataflow / Apache Beam
Pub/Sub
Cloud Storage
Data modeling for analytics and ML use cases
Production troubleshooting, optimization, and cost awareness

This position is open to all candidates.

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8849521

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08/10/2026

Senior Data Scientist

Location: Tel Aviv-Yafo

Job Type: Full Time

We are looking for a Senior Data Scientist to lead the design and implementation of next-generation AI solutions for Lifecycle Marketing.
As a senior member of our team, you will shape methodology, guide product direction under uncertainty, and represent us in high-stakes conversations with customers. Youll combine deep expertise in causal inference, reinforcement learning, and experimentation with strong communication skills to drive impact across the company and with our clients.
Responsibilities
Own the design and methodology of data science solutions for lifecycle marketing, with emphasis on causal inference, uplift modeling, and reinforcement learning.
Lead the development of experimentation frameworks (A/B/n tests, variance reduction, policy evaluation).
Research, prototype, and productionize multi-armed bandits and contextual RL approaches for personalization and timing optimization.
Take a strong, opinionated role in brainstorming sessions, guiding decision-making in areas of high uncertainty.
Represent us in front of customers, translating complex modeling decisions into clear business value.
Mentor junior and mid-level team members, raising the technical bar across the team.
Collaborate closely with product managers, engineers, and analysts to align data science strategy with business goals.

Requirements:
M.Sc. or Ph.D. in Computer Science, Statistics, Mathematics, or related field.
6+ years of hands-on data science experience, including direct work with lifecycle marketing, personalization, or customer analytics.
Advanced expertise in statistics, causal inference, and experimental design.
Proven track record of implementing reinforcement learning / multi-armed bandit models in production.
Strong software engineering skills in Python, SQL, and ML frameworks
Exceptional communication skills - able to influence internal teams and present to executive-level customers.
Entrepreneurial mindset: thrives in uncertainty, challenges assumptions, and pushes for impactful solutions.

This position is open to all candidates.

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8849502

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08/10/2026

Data Engineering Manager

Location: Ramat Gan

Job Type: Full Time and Hybrid work

Required Data Engineering Manager
Data, Ramat Gan, Israel (Hybrid)
Description
We are one of the most popular and downloaded apps in the world. Working with us provides a unique opportunity to influence hundreds of millions of our users and to be part of the journey that makes us a super-app. Our mission is to make peoples lives easier by enabling meaningful connections, from precious moments with family and friends, through managing business relationships to pursuing their passions.
As an Engineering Manager in the data department, youll build and scale our data platform and data apps that powers our business insights. Youll design and implement robust pipelines to process billions of daily records, leveraging cutting-edge cloud technologies to transform data into actionable intelligence.
If youre passionate about data engineering and driving business growth through insights, wed love to hear from you!
Responsibilities:
Lead and grow Data Engineering and Machine Learning teams in a high-scale environment (tens of billions of events per day).
Own the design and evolution of a self-service data platform enabling internal teams to easily build, ship, and consume data products.
Architect and scale batch and streaming pipelines powering core business and ML use cases.
Drive production ML systems end-to-end (recommendation, ranking, prediction) with direct business KPI impact.
Ensure reliability, scalability, and observability of large-scale data and ML systems in production.

Requirements:
3+ years of data engineering management leading architecture and strategy
6+ years of experience building large-scale (at least 5 million events a day) distributed systems in Data Engineering, ML Engineering, or Software Engineering roles.
Proven ownership of production-grade data or ML platforms, including delivery and adoption across R&D and Product stakeholders.
Hands-on experience building and operating high-scale distributed data systems (Spark, Storm, Flink) in production.
Strong experience with Java and Python in AWS cloud environments.
Advantages:
Proven track record leading multi-disciplinary teams and driving measurable business impact through data/ML systems.
Experience building ML platforms, feature stores, or self-serve data infrastructure at scale.
Deep experience with modern ML/infra stack (PyTorch, TensorFlow, SageMaker, Kubernetes, Argo).
Experience with modern data lakehouse and analytics stack (Iceberg, Athena, ClickHouse, data catalogs, data quality frameworks).
Experience deploying LLM-based systems or AI-driven infrastructure in production environments.

This position is open to all candidates.

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08/10/2026

VP Data

Location: Tel Aviv-Yafo

Job Type: Full Time

Required VP Data
The Role:
We believe better decisions compound.
A better attribution model changes where we invest.
Better customer economics change how we grow.
Better measurement unlocks entirely new business models.
As we grow into a group of consumer brands, those decisions become more important - and more complex.
That's why we're hiring this role.
We're looking for someone who can help us build a better business through numbers.
Not by building dashboards.
By helping us answer questions like:
Where should we invest the next dollar?
Are we measuring marketing correctly?
Is our attribution model helping us - or holding us back?
Which customers are far more valuable than we realize?
How should multiple brands change the way we think about LTV?
Should we rethink pricing? Bundles? Subscriptions? Media strategy?
Where is the next $100M hiding?
You'll work directly with the CEO and leadership team on some of the biggest decisions in the company.
What You'll Do:
Own the frameworks behind our biggest business decisions.
Lead how we measure growth, marketing performance, customer economics and profitability.
Rethink attribution, incrementality, media measurement and capital allocation.
Identify growth opportunities across products, brands, pricing and customer behavior.
Partner closely with Marketing, Product, Finance and Operations to improve decision-making across the company.
Lead our Business Analytics team, making sure every team has the data, tools and insights they need to make better decisions.
Turn analysis into action.

Requirements:
Who You Are
You're a business builder who happens to think in numbers.
You have significant experience in performance marketing, growth, strategic finance or another highly quantitative commercial role.
You've made real decisions around CAC, LTV, attribution, incrementality, cohorts, media economics and capital allocation.
You enjoy messy business problems more than clean datasets.
You simplify complexity. You challenge assumptions.
You care about impact- not reports.

This position is open to all candidates.

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8849101

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08/10/2026

Data Engineering Lead

Location: Tel Aviv-Yafo

Job Type: Full Time

Required Data Engineering Lead
Why this role matters:
Data isn't just for dashboards - it's the nervous system of our future products. As we expand into smart lighting (Oasis) and living tech (Easyplant), we need to process massive streams of IoT signals and power real-time AI. You won't just maintain a warehouse; you will architect the platform that connects our physical products to the digital world.
What youll do:
Build the "Brain": Architect the next-gen data platform capable of handling high-volume IoT streams and integrating AI capabilities into our daily operations.
Code the Core: This is a hands-on role. You wont just manage; youll be deep in Python, DBT, and Airflow, building and optimizing the pipelines yourself.
Scale for Complexity: We are growing from one product to a multi-brand ecosystem. You will ensure our data infrastructure evolves to support diverse business lines without becoming a bottleneck.
Democratize Insights: Build a system so robust and intuitive that every engineer, product manager, and marketer can self-serve the data they need to build better products.

Requirements:
Who you are
An Architect Who Codes: You lead by example. You prefer writing a script to writing a Jira ticket.
Modern Stack Native: You live in the cloud and speak fluent Python. You know DBT and Airflow inside out.
IoT Ready: You are excited by the challenge of moving beyond standard transactional data into the messy, high-volume world of hardware and sensors.
Impact-Obsessed: You don't build technology for its own sake. You build it to solve real business problems and create products people love.

This position is open to all candidates.

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8849087

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06/10/2026

Senior ML / Perception Engineer

Location: Givat Hen

Job Type: Full Time

We are looking for a highly skilled ML/Perception Engineer to take ownership of our vision pipeline - from data to deployed models running on embedded systems.

This role is focused on building perception systems that actually work in the field, under real-world constraints.

What You'll Do
Own the full perception pipeline: data → training → evaluation → deployment
Develop and improve detection and segmentation models using RGB + depth data
Build and maintain a data engine: define labeling strategies, drive dataset quality and consistency, handle noisy and imperfect data
Ensure models generalize to real-world conditions: changing lighting, occlusions, small / hard-to-detect objects
Deploy models to Jetson NX-based systems - ensure compatibility with TensorRT, perform export, validation, and debugging
Collaborate closely with software, robotics, and algorithm engineers to integrate perception into the system

Requirements:
Strong experience building and deploying computer vision models (detection + segmentation)
Hands-on experience with training pipelines and dataset iteration
Proven ability to improve performance with imperfect / noisy data
Experience working with real-world vision problems (not only curated datasets)
Practical understanding of deployment constraints (latency, memory, model size)
Experience exporting models to ONNX / TensorRT (or similar)

This position is open to all candidates.

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8845822

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06/10/2026

Backend & Data Platform Engineer

Location: Tel Aviv-Yafo

Job Type: Full Time and Hybrid work

We are looking for a Backend Engineer with deep data engineering expertise to build and evolve the systems that power product, analytics, experimentation, and AI development.
You will work across production backend services and data infrastructure, taking technical ownership of the full data lifecycle - from event ingestion and real-time processing to orchestration, modeling, quality, and reliable data access. This role combines hands-on backend development with ownership of shared data platform, working closely with backend, frontend, AI, DevOps, analytics, and product teams.
What you'll do:
Build and maintain production-grade Python and Java backend services, APIs, and reactive data-processing pipelines with clear interfaces, resilient failure handling, and comprehensive observability.
Own and evolve batch and streaming data pipelines supporting product analytics, learner insights, experimentation, and AI model training.
Design and maintain trusted data models, shared metrics, and semantic-layer business logic across the analytical data platform.
Define and enforce standards for data contracts, testing, lineage, freshness, and observability.
Develop reliable approaches to schema evolution, backfills, replay, workload distribution, and failure recovery.
Collaborate with DevOps, backend, frontend, AI, analytics, and product teams to deliver reusable data capabilities and maintain clear system boundaries.

Requirements:
At least 6 years of production software engineering experience, primarily in backend systems, including meaningful ownership of data-intensive platforms or infrastructure.
Strong proficiency in Python, Java, and SQL, with experience in testing, typing, performance optimization, and production debugging.
Strong backend engineering fundamentals, including service and API design, asynchronous and concurrent processing, failure handling, and operational reliability.
Experience with relational and non-relational databases such as PostgreSQL, Redis, or MongoDB.
Hands-on experience with AWS, Docker, Kubernetes, CI/CD, and production observability.
Deep experience designing and operating ETL/ELT pipelines and batch or streaming data systems.
Hands-on production experience with Apache Flink for distributed stream processing.
Hands-on production experience building reactive data-processing pipelines with RxJava/Project Reactor, including backpressure, scheduling, error handling, testing, and operational debugging.
Experience with event-driven architectures and messaging systems such as Kafka or AWS SQS.
Strong understanding of data modeling, warehouse and lakehouse architecture, schema evolution, and data quality.
Hands-on experience with dbt for data modeling, testing, documentation, lineage, and semantic-layer development.
Hands-on experience with at least one analytical data platform such as Snowflake, Databricks, ClickHouse, Athena, Trino, or Dremio.
Hands-on experience with at least one dataframe library: Pandas, Polars, or Daft.
Experience with workflow orchestration tools such as Airflow or Dagster.
Clear communication skills and a strong ownership mindset, with a track record of leading cross-functional technical initiatives through to production.

This position is open to all candidates.

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8845808

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06/10/2026

Senior Data Scientist

Location: Tel Aviv-Yafo

Job Type: Full Time

We're looking for a Senior Data Scientist who loves what they do: a strong foundation in machine learning, statistics, and software engineering, a passion for modern AI-accelerated development, and the drive to own research, design, and end-to-end delivery of ML systems that ship to millions.

What you'll be doing

Research, train, and deploy state-of-the-art recommender systems using deep learning and GenAI
Own projects end-to-end - from business idea through modeling, experimentation, and production deployment - including the parts that involve aligning other people around them
Build online, scalable models and serving solutions that leverage massive datasets and reach hundreds of millions of users
Apply multimodal and sequence-modeling techniques to real product problems where model improvements translate directly to business impact
Lead cross-team initiatives, improve the tooling the team works with every day, and mentor others as you go
Collaborate with ML experts, big data engineers, product managers, and developers across the organization to solve complex problems

Requirements:
5+ years of hands-on experience as a data scientist or applied ML researcher/engineer
A builder's mindset: you've taken ML projects from idea to production, across domains and problem types, and you care about what ships
Strong Python and PyTorch skills, with solid grounding in deep learning theory
Strong analytical skills and product sense - you can frame a business problem and choose the right ML solution for it, not just the fanciest one
A track record of being the person others come to: you've guided less experienced teammates and driven projects that spanned more than one person

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8845772

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06/10/2026

Senior Data Engineer

Location: Ra'anana

Job Type: Full Time

we are a dynamic technology firm dedicated to building exceptional products using modern technologies for the world's most admired companies. We pride ourselves on innovation, collaboration, and delivering excellence in every project.

Job Description
Responsibilities:

Design and maintain scalable data pipelines with Spark Structured Streaming.
Implement Lakehouse architecture with Apache Iceberg.
Develop ETL processes for data transformation.
Ensure data integrity, quality, and governance.
Collaborate with stakeholders and IT teams for seamless solution integration.
Optimize data processing workflows and performance.

Requirements:
5+ years in data engineering.
Expertise in Apache Spark and Spark Structured Streaming.
Hands-on experience with Apache Iceberg or similar data lakes.
Proficiency in Scala, Java, or Python.
Knowledge of big data technologies (Hadoop, Hive, Presto).
Experience with cloud platforms (AWS, Azure, GCP) and SQL.
Strong problem-solving, communication, and collaboration skills.

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8845410

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05/10/2026

data engineer

Location: Merkaz

Job Type: Full Time

Our data & AI Division is looking for data Engineer to join our team! We are looking for a data & AI Engineer to join our growing team and help design, build, and deliver modern data & AI solutions for enterprise customers. Full-time | Central Israel?Key Responsibilities

* Design, build, and maintain scalable data Pipelines and data Platforms
* Develop ETL /ELT processes and cloud-based data solutions
* Work with structured and unstructured data from multiple sources
* Build AI-powered solutions including AI Agents, RAG pipelines, and LLM-based applications
* Integrate AI and data solutions with enterprise systems using APIs and cloud services
* Develop data models, data warehouses, and lakehouse architectures
* Collaborate with data Scientists, BI teams, and business stakeholders
* Monitor, optimize, and troubleshoot production environments

Requirements:
* 3+ years of experience as a data Engineer, data Developer, or similar role
* Strong hands-on experience with Python and SQL
* Experience building ETL /ELT pipelines and data integration processes
* Experience with Azure, AWS, or GCP
* Experience with Airflow, data Factory, Glue, dbt, or similar tools
* Experience working with APIs, Docker, and cloud-native services
* Hands-on experience with AI technologies such as LLMs, AI Agents, RAG, and Generative AI solutions
* Experience with OpenAI, Azure OpenAI, Claude, Bedrock, Vertex AI, or similar platforms
* Experience with Databricks, Spark, PySpark, Snowflake, or BigQuery - Advantage
* Strong problem-solving skills and ability to deliver end-to-end solutions

This position is open to all candidates.

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8744772

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05/10/2026

Senior Data Analyst

Location: Merkaz

Job Type: Full Time

Direct employment by the client — you'll be a company employee from day one. What if your next analysis could shape the way a B2C company grows? If you're passionate about turning complex data into meaningful business impact, this opportunity might be exactly what you're looking for. Central Israel, Hybrid: 3 days in the office | 2 days from home We're hiring a Senior Data Analyst In this role, you'll take the analytical lead on a fast-growing B2C product, partnering closely with Product, Marketing, Data Science, and Business teams to drive customer acquisition, optimize performance, and support strategic growth. What you'll be doing: • Analyze customer behavior, acquisition funnels, and marketing performance. • Lead deep-dive analyses and A/B testing initiatives. • Build dashboards and visualizations that drive business decisions. • Work with large-scale datasets and modern data platforms. • Collaborate closely with cross-functional teams to transform data into measurable business impact.

Requirements:
• Professional Experience: 5+ years of experience in Data Analysis and interpretation, supporting Marketing, Product, or Business teams in fast-paced environments. • SQL: High proficiency in SQL is required, including working with large and complex datasets. • BI Systems: Strong experience with business intelligence and visualization tools such as Sisense, Tableau, Looker, or similar platforms. • Data Infrastructure: Experience working with modern data warehouse/data lake environments such as Snowflake, Clickhouse, Athena, or BigQuery. • Python: Practical knowledge of Python for data analysis and automation workflows. • Communication: Excellent communication and stakeholder management skills, with the ability to present analytical insights clearly to both technical and business audiences. • Execution: Ability to work independently, prioritize effectively, and drive data-informed decisions in a dynamic environment with tight deadlines.
Key Advantages (Nice to Have): • Experience working in B2C or performance marketing environments. • Experience building and maintaining ETL processes. • Experience working closely with Data Science teams on experimentation and optimization initiatives. • Experience leveraging Agentic AI technologies to enhance analytics workflows, automate insights generation, and support data-driven decision-making. Good to know: •• We work in a hybrid model: 3 days from the office and 2 days from home

This position is open to all candidates.

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8739563

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