Graduate Data Analyst jobs in Israel
Unity Staff Data AI Engineer Israel, Tel-Aviv District, Tel-Aviv
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What you'll be doing
- Develop and execute AI strategies aligned with business objectives
- Advise leadership on AI capabilities and potential applications
- Guide teams in adopting AI tools and methodologies
- Ensure ethical and efficient implementation of AI technologies
- Design and oversee AI-driven process improvements
- Collaborate with various departments to identify AI opportunities
- Stay current with the latest AI trends and advancements
- Conduct AI-related training and workshops for staff
- Manage AI projects from conception to implementation
- Evaluate and recommend AI tools and platforms
- Leading a team of AI engineers
- Deep understanding of AI technologies, including large language models
- Expertise in prompt engineering and AI-powered automation
- Proficiency with AI tools such as ChatGPT, Claude, Midjourney, and Copilot
- Knowledge of AI ethics and regulatory considerations
- Strong problem-solving and analytical skills
- Proficiency with Python or TypeScript for building AI workflows and data pipelines
- Excellent communication and leadership abilities
- Ability to translate complex AI concepts for non-technical audiences
- Experience in project management and cross-functional collaboration
- Advanced degree in Computer Science, AI, or related field
- Previous experience in AI implementation within an organizational setting
- Certifications in relevant AI technologies or platforms
- Familiarity with no-code AI application development
- Bachelor's degree in Computer Science, AI, or related field
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
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Unity Senior DevOps Engineer Data Platform Israel, Tel-Aviv District, Tel-Aviv
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- Technical Leadership & Architecture: Drive data infrastructure strategy and establish standardized patterns for AI/ML workloads, with direct influence on architectural decisions across data and engineering teams
- DataOps Excellence: Create seamless developer experience through self-service capabilities while significantly improving data engineer productivity and pipeline reliability metrics
- Cross-Functional Innovation: Lead collaboration between DevOps, Data Engineering, and ML Operations teams to unify our approach to infrastructure as code and orchestration platforms
- Technology Breadth & Growth: Work across the full DataOps spectrum from pipeline orchestration to AI/ML infrastructure, with clear advancement opportunities as a senior infrastructure engineer
- Strategic Business Impact: Build scalable analytics capabilities that provide direct line of sight between your infrastructure work and business outcomes through reliable, cutting-edge data solutions
- Design Data-Native Cloud Solutions - Design and implement scalable data infrastructure across multiple environments using Kubernetes, orchestration platforms, and IaC to power our AI, ML, and analytics ecosystem
- Define DataOps Technical Strategy - Shape the technical vision and roadmap for our data infrastructure capabilities, aligning DevOps, Data Engineering, and ML teams around common patterns and practices
- Accelerate Data Engineer Experience - Spearhead improvements to data pipeline deployment, monitoring tools, and self-service capabilities that empower data teams to deliver insights faster with higher reliability
- Engineer Robust Data Platforms - Build and optimize infrastructure that supports diverse data workloads from real-time streaming to batch processing, ensuring performance and cost-effectiveness for critical analytics systems
- Drive DataOps Excellence - Collaborate with engineering leaders across data teams, champion modern infrastructure practices, and mentor team members to elevate how we build, deploy, and operate data systems at scale
- 3+ years of hands-on DevOps experience building, shipping, and operating production systems.
- Coding proficiency in at least one language (e.g., Python or TypeScript); able to build production-grade automation and tools.
- Cloud platforms: deep experience with AWS, GCP, or Azure (core services, networking, IAM).
- Kubernetes: strong end-to-end understanding of Kubernetes as a system (routing/networking, scaling, security, observability, upgrades), with proven experience integrating data-centric components (e.g., Kafka, RDS, BigQuery, Aerospike).
- Infrastructure as Code: design and implement infrastructure automation using tools such as Terraform, Pulumi, or CloudFormation (modular code, reusable patterns, pipeline integration).
- GitOps & CI/CD: practical experience implementing pipelines and advanced delivery using tools such as Argo CD / Argo Rollouts, GitHub Actions, or similar.
- Observability: metrics, logs, and traces; actionable alerting and SLOs using tools such as Prometheus, Grafana, ELK/EFK, OpenTelemetry, or similar.
- Data Pipeline Orchestration - Demonstrated success building and optimizing data pipeline deployment using modern tools (Airflow, Prefect, Kubernetes operators) and implementing GitOps practices for data workloads
- Data Engineer Experience Focus - Track record of creating and improving self-service platforms, deployment tools, and monitoring solutions that measurably enhance data engineering team productivity
- Data Infrastructure Deep Knowledge - Extensive experience designing infrastructure for data-intensive workloads including streaming platforms (Kafka, Kinesis), data processing frameworks (Spark, Flink), storage solutions, and comprehensive observability systems
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Unity Data Platform Engineering Lead Israel, Tel-Aviv District, Tel-Aviv
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Unify online/offline for features: Drive Flink adoption and patterns that keep features consistent and low-latency for experimentation and production.
Make self-serve real: Build golden paths, templates, and guardrails so product/analytics/DS engineers can move fast safely.
Run multi-tenant compute efficiently: EMR on EKS powered by Karpenter on Spot instances; right-size Trino/Spark/Druid for performance and cost.
Cross-cloud interoperability: BigQuery + BigLake/Iceberg interop where it makes sense (analytics, experimentation, partnership).
What you'll be doing- Leading a senior Data Platform team: setting clear objectives, unblocking execution, and raising the engineering bar.
- Owning SLOs, on-call, incident response, and postmortems for core data services.
- Designing and operating EMR on EKS capacity profiles, autoscaling policies, and multi-tenant isolation.
- Tuning Trino (memory/spill, CBO, catalogs), Spark/Structured Streaming jobs, and Druid ingestion/compaction for sub-second analytics.
- Extending Flink patterns for the feature platform (state backends, checkpointing, watermarks, backfills).
- Driving FinOps work: CUR-based attribution, S3 Inventory-driven retention/compaction, Reservations/Savings Plans strategy, OpenCost visibility.
- Partnering with product engineering, analytics, and data science & ML engineers on roadmap, schema evolution, and data product SLAs.
- Leveling up observability (Prometheus/VictoriaMetrics/Grafana), data quality checks, and platform self-service tooling.
- 2+ years leading engineers (team lead or manager) building/operating large-scale data platforms; 5+ years total in Data Infrastructure/DataOps roles.
- Proven ownership of cloud-native data platforms on AWS: S3, EMR (preferably EMR on EKS), IAM, Glue/Data Catalog, Athena.
- Production experience with Apache Iceberg (schema evolution, compaction, retention, metadata ops) and columnar formats (Parquet/Avro).
- Hands-on depth in at least two of: Trino/Presto, Apache Spark/Structured Streaming, Apache Druid, Apache Flink.
- Strong conceptual understanding of Kubernetes (EKS), including autoscaling, isolation, quotas, and observability
- Strong SQL skills and extensive experience with performance tuning, with solid proficiency in Python/Java.
- Solid understanding of Kafka concepts, hands-on experience is a plus
- Experience running on-call for data platforms and driving measurable SLO-based improvements.
- Experience building feature platforms (feature definitions, materialization, serving, and online/offline consistency).
- Airflow (or similar) at scale; Argo experience is a plus.
- Familiarity with BigQuery (and ideally BigLake/Iceberg interop) and operational DBs like Aurora MySQL.
- Experience with Clickhouse / Snowflake / Databricks / Starrocks.
- FinOps background (cost attribution/showback, Spot strategies).
- Data quality, lineage, and cataloging practices in large orgs.
- IaC (Terraform/CloudFormation)
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
Bezeqint תומכ/ת DATA NETWORK Israel
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תיאור המשרה
בזק בינלאומי TECH מגייסת איש/ת תקשורת- תומכ/ת DATA & NETWORKING .
התומכ/ת עובד/ת בצוות המעניק שירות טכני - הפעלת קישורים בינלאומיים ומתן תמיכה טכנית עבור שירותים אלה, ללקוחות הישראליים והגלובאליים של החברה.
בשל העבודה מול לקוחות גלובאליים נדרשת רמה גבוהה באנגלית- ברמת הבנה, אנגלית טכנית, ויכולת ביטוי בע"פ ובכתב.
המטרה היא לספק תמיכה טכנית בעולמות תקשורת הנתונים, ולאפשר ללקוחות אלה קישוריות (זרימת תעבורה תקינה)
בקווי תקשורת ייעודיים שהקמנו עבורם. התמיכה ניתנת מקצה לקצה- הן ברמת הפעלה והקמה של פרויקטים אלו, והן ברמה של תחזוקה, פתרון תקלות (כגון נפילת קווים, LATENCY, PACKET LOSS ועוד) ומתן שירות שוטף.
השירות ללקוחות ניתן דרך מענה מרחוק, ונדרשת יכולת עבודה מול ממשקים מגוונים- פנימיים וחיצוניים- כדוגמת גורמי מכירה בתוך האגף, מנהלי פרויקטים, מפעילים זרים בחול (כגון BT, AT&T, Verizon ועוד).
שעות פעילות הצוות הן 8:00-19:00
דרישות
- היכרות וניסיון בעולמות התקשורת, לרבות פרוטוקולי תקשורת BGP) WAN) ומודל שבע השכבות- חובה
- היכרות עם ציודי סיסקו וג'וניפר - ברמת קינפוג, שירות - חובה
- שליטה גבוהה בשפה האנגלית כתיבה ודיבור - חובה
- נכונות לביצוע כוננויות (בעיקר דרך השתלטות מרחוק)- חובה
- שתף:
Leumi Data Scientist Israel
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דאטה סיינטיסט שישתלב בצוות תיקוף מודלים בחטיבה לניהול הסיכונים - האחראי על בחינה והערכת מודלים אנליטיים וסטטיסטיים המשמשים את הבנק בתחומים מגוונים כגון: אשראי קמעונאי ועסקי, תמחור, שיווק, ציות ותחומים נוספים.
התפקיד כולל ביצוע בחינה, הערכה ואיתגור, שכולל לעתים גם פיתוח מקביל, של מודלים מתקדמים כולל ML, AI. (חיזוי, סיווג, זיהוי אנומליות ועוד).
התפקיד כולל הבנה עסקית של המודל, ניתוח מתודולוגיות, ביצוע בדיקות תיקוף עצמאיות, בניית מודלים, סיכום ותיעוד התיקוף והצגת ממצאים והמלצות בפני הנהלה בכירה, בהתאם להנחיות בנק ישראל ותקני Model Risk Management בינלאומיים.
בנוסף, תיקוף ובחינה של מודלי AI, יישום עולם הבינה המלאכותית והטמעת פתרונות AI בתחומים שונים בבנק.
ORCA Security Data/Product Analyst Israel, Tel-Aviv District, Tel-Aviv
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- High-growth: Over the past six years, we’ve consistently achieved milestones that take other companies a decade or more. During this time, we’ve significantly grown our employee base, expanded our customer reach, and rapidly advanced our product capabilities.
- Disruptive innovation: Our founders saw that traditional security didn’t work for the cloud, so they set out to carve a new path. We’re relentless pioneers who invented agentless technology and continue to be the most comprehensive and innovative cloud security company.
- Well-capitalized: With a valuation of $1.8 billion, Orca is a cybersecurity unicorn dominating the cloud security space. We’re backed by an impressive team of investors such as Capital G, ICONIQ, GGV, and SVCI, a syndicate of CISOs who invest their own money after conducting their due diligence.
- Respectful and transparent culture: Our executives pride themselves on being accessible to everyone and believe in sharing knowledge with the employees. Each employee has a place in shaping the future of our industry.
As a Product & Data Analyst at Orca, you will take ownership of product analytics at Orca, along with responsibility over our BI infrastructure. You will help product teams make smarter decisions by uncovering customer insights, while also ensuring the data pipelines and models that power those insights are robust and scalable.
In this role, you will work directly with Product Managers to analyze customer behavior, evaluate new features, and measure product impact. You’ll also take responsibility for the underlying data stack-writing SQL, modeling in DBT, and maintaining clean, efficient ETLs. Beyond supporting day-to-day product questions, you will build dashboards and reporting tools that give teams across the company access to reliable, self-serve insights.
About you- 3-5 Years of experience as a Data Analyst, preferably from a SaaS company
- Proven experience in SQL writing, specifically in querying large and complex data sets
- Experience in BI tools and in DBT/Python
- Looker proficiency – an advantage
- Ability to translate analytic conclusions to business insights and actions along with strong statistical analysis skills and self-learning capabilities
- B.Sc./BA in industrial/information systems engineering, statistics or equivalent
- Experience in operational or cross-department roles – an advantage
- Great communication skills
- Business orientation and a passion for data analytics
- High level of spoken and written English
Gett Product Analyst Israel, Tel Aviv District, Tel Aviv-Yafo
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, Consumer services and Marketplace tools.
As a Product Analyst, you will go beyond the numbers—defining, analyzing, and translating data into actionable insights about our business, users, and product features. You’ll also design and analyze both randomized and non-randomized experiments to optimize performance.
You’ll work closely with , and stakeholders from other business units to drive key product decisions and shape the product strategy and roadmap.
Key Responsibilities
- Conduct quantitative research to drive product recommendations, including cohort analysis, user personas, behavioral segmentation, forecasting, and impact analysis
- Design and analyse randomised and non-randomised experiments to optimise product performance and understand user behaviour
- Collaborate with cross-functional stakeholders to identify business needs and execute end-to-end analytical projects.
- Deliver clear, effective presentations of insights to stakeholders at all levels, using visual representations of data.
- Develop and automate reports; build and refine dashboards to provide scalable insights for multiple stakeholders.
- Analyze our strategic position against competitors and provide insights that drive value and support our vision.
- Define key metrics, analyze usage patterns, and solve challenges that hinder progress toward objectives and key results (OKRs).Lead independent research and develop new analytics methods during dedicated weekly project time.
- 3+ years as a product analyst or business analyst — Must
- BA graduate in Statistics/ Mathematics/ Computer Science/ Industrial Engineering/ Economics
- Excellent knowledge of SQL — Must
- Experience with Python or R — Must
- Knowledge of statistics - Must
- Experience and deep understanding of AB tests and the maths behind it — Must
- Experience with Mixpanel or Amplitude - Nice to have
- Experience working with BI-tools
- Strong data visualisation skills — ability to effectively communicate performance and business impact to the broader business
- Ability to ask the right questions and use both quantitative and qualitative metrics to answer them
- Experience in translating analysis results into product recommendations and business questions into an analysis framework
- Sharp communicator and a confident presenter
- Experience with B2C mobile apps, Marketplaces, SaaS Platforms, and B2B products — advantage
- English proficiency — Must
- Knowledge of Econometrics or Machine Learning - an advantage
- Fluency in Hebrew and Russian - an advantage
What you'll be doing
- Develop and execute AI strategies aligned with business objectives
- Advise leadership on AI capabilities and potential applications
- Guide teams in adopting AI tools and methodologies
- Ensure ethical and efficient implementation of AI technologies
- Design and oversee AI-driven process improvements
- Collaborate with various departments to identify AI opportunities
- Stay current with the latest AI trends and advancements
- Conduct AI-related training and workshops for staff
- Manage AI projects from conception to implementation
- Evaluate and recommend AI tools and platforms
- Leading a team of AI engineers
- Deep understanding of AI technologies, including large language models
- Expertise in prompt engineering and AI-powered automation
- Proficiency with AI tools such as ChatGPT, Claude, Midjourney, and Copilot
- Knowledge of AI ethics and regulatory considerations
- Strong problem-solving and analytical skills
- Proficiency with Python or TypeScript for building AI workflows and data pipelines
- Excellent communication and leadership abilities
- Ability to translate complex AI concepts for non-technical audiences
- Experience in project management and cross-functional collaboration
- Advanced degree in Computer Science, AI, or related field
- Previous experience in AI implementation within an organizational setting
- Certifications in relevant AI technologies or platforms
- Familiarity with no-code AI application development
- Bachelor's degree in Computer Science, AI, or related field
- Relocation support is not available for this position.
- Work visa/immigration sponsorship is not available for this position
This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English.
These jobs might be a good fit
