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דרושים Data Analyst - משרות אנליסט נתונים

מנתחי נתונים ממלאים תפקיד חשוב בסיוע לארגונים לקבל החלטות מושכלות יותר. על ידי שימוש בנתונים לניתוח מגמות ולהסקת מסקנות, הם מספקים לעסקים תובנות שניתן להשתמש בהן כדי לעצב אסטרטגיות ולייעל את התפעול. בואו להתקדם בקריירה שלכם עם אקספוינט!
חברה
אופי המשרה
קטגוריות תפקיד
שם תפקיד (1)
Israel
עיר
נמצאו 457 משרות
23.11.2025
U

Unity Senior DevOps Engineer Data Platform Israel, Tel-Aviv District, Tel-Aviv

Limitless High-tech career opportunities - Expoint
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...
תיאור:
The opportunity
  • 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
What you'll be doing
  • 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
What we're looking for
  • 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.
You might also have
  • 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
Additional information
  • 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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23.11.2025
F

Forter Data ResearcherNew Israel, Tel Aviv District, Tel Aviv-Yafo

Limitless High-tech career opportunities - Expoint
Invent, design, implement, and refine our system’s core decisioning logic and models in a live production environment. Conduct in-depth research into complex fraud patterns, adversarial networks, and emerging global threats....
תיאור:

What you'll be doing:

  • Invent, design, implement, and refine our system’s core decisioning logic and models in a live production environment.
  • Conduct in-depth research into complex fraud patterns, adversarial networks, and emerging global threats.
  • Leverage rich datasets to derive actionable insights, develop new system components, and advance our feature engineering processes.
  • Develop, prototype, and automate new tools and processes to enhance the precision and scale of our systems.
  • Collaborate with a world-class team of Data Scientists, Analysts, Researchers, and Engineers to develop the next generation of Forter’s AI technology.

What you'll need:

  • Relevant experience (one of the below)
    • At least 2 years of hands-on experience in quantitative research/data science, or a related role involving production-oriented data analytics and hypothesis-led research.
    • MSc or PhD in a quantitative field (e.g., Physics, Economics, Neuroscience, Biotechnology, Computer Science, etc.).
  • Strong analytical and logical reasoning skills with a proven ability to dissect and solve highly complex problems.
  • Extensive experience working with large datasets using scripting languages (e.g., Python, R, or Matlab).
  • Excellent communication skills – ability to articulate complex technical concepts and research findings to diverse audiences.
Bonus points for:
  • Experience with SQL and big data technologies (e.g., Spark).
  • Deep familiarity with machine learning concepts and practice
  • Risk / Intelligence experience

Trust is backed by data – Forter is a recipient of over 10 workplace and innovation awards, including:

  • Great Place to Work Certification (2021, 2022, 2023, )
  • Fortune’s Best Workplaces in NYC (2022, 2023 and )
  • Forbes Cloud 100 (2021, 2022, 2023 and )
  • #3 on Fast Company’s list of “Most Innovative Finance Companies” ( )
  • Anti-Fraud Solution of the Year at the Payments Awards ( )
  • SAP Pinnacle Awards “New Partner Application Award” (2023)
  • Fintech Breakthrough Awards – Best Fraud Prevention Platform (2023)
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משרות נוספות שיכולות לעניין אותך

23.11.2025
U

Unity Staff Data AI Engineer Israel, Tel-Aviv District, Tel-Aviv

Limitless High-tech career opportunities - Expoint
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...
תיאור:
SuperSonic is hiring a Staff Data AI Lead to lead our AI initiatives.As a Staff Data AI Lead you will be responsible for leading SuperSonic organization AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
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
What we're looking for
  • 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
You might also have
  • 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
Additional information
  • 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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משרות נוספות שיכולות לעניין אותך

22.11.2025
C

Cellebrite Compensation Benefits Analyst Israel, Center District, Petah Tikva

Limitless High-tech career opportunities - Expoint
Support and coordinate global compensation and benefits processes, including annual salary review, variable and bonus plans, equity grants, and ongoing program management. Enforce and promote the company’s Compensation & Benefits...
תיאור:

Position Overview:

As part of our growing organization, this is a unique opportunity to shape C&B practices and scale them across functions/regions. You will have visibility into senior leadership decisions and influence how we attract, retain, and reward talent.

Key Responsibilities

  • Support and coordinate global compensation and benefits processes, including annual salary review, variable and bonus plans, equity grants, and ongoing program management.
  • Enforce and promote the company’s Compensation & Benefits methodologies, ensuring consistency, fairness, and compliance with all relevant legislation and internal policies.
  • Participate in and manage compensation survey submissions (e.g., Zviran, Radford) while ensuring data accuracy and consistency.
  • Perform market analyses and benchmarking to identify compensation trends and provide insights that inform business decisions.
  • Design, maintain, and continuously optimize global salary structures, pay grades, and compensation salary ranges.
  • Oversee the administration and governance of global benefits programs, ensuring competitiveness and compliance across all locations.
  • Perform data analysis, develop reports, and present actionable recommendations to HR and business stakeholders.
Requirements
  • 3–5+ years of experience in compensation, benefits, or total rewards analysis.
  • Strong analytical, modeling, and problem-solving skills.
  • Advanced Excel skills (pivot tables, formulas, scenario modeling).
  • Familiarity with compensation/HRIS systems (e.g. HiBob).
  • Experience in market surveys (Radford, Zviran, etc.), job leveling, and pay structure design.
  • Excellent communication skills and ability to influence stakeholders.
  • High discretion, integrity, and confidentiality.
  • Knowledge of local labor laws and benefit regulations
  • Understanding of equity / long-term incentive programs is an advantage
  • Experience working in a global tech environment.
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משרות נוספות שיכולות לעניין אותך

22.11.2025
U

Unity Data Platform Engineering Lead Israel, Tel-Aviv District, Tel-Aviv

Limitless High-tech career opportunities - Expoint
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...
תיאור:

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.
What we're looking for
  • 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.
You might also have
  • 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)
Additional information
  • 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.

Show more

משרות נוספות שיכולות לעניין אותך

22.11.2025
A

Artlist Senior Product Analyst Israel, Tel Aviv District, Tel Aviv-Yafo

Limitless High-tech career opportunities - Expoint
Design, implement, and analyze A/B tests to optimize core funnels, pricing, and CTAs. Conduct deep-dive analysis of the user journey to identify opportunities for conversion rate optimization. Develop and manage...
תיאור:
Description

As aat Artlist, you'll play a key role in driving our product’s growth by analyzing and optimizing our most critical conversion funnels. You'll provide actionable insights focused on our pricing page and core user journeys to directly impact business success. In this critical role, you'll work closely with product teams to test hypotheses, validate strategies, and ensure our product keeps growing in a competitive market.


Wake Up For This

  • Design, implement, and analyze A/B tests to optimize core funnels, pricing, and CTAs.
  • Conduct deep-dive analysis of the user journey to identify opportunities for conversion rate optimization.
  • Develop and manage key metrics to measure business performance and product health.
  • Partner with product squads and strategic stakeholders to define and prioritize growth initiatives.
  • Translate complex data findings into actionable insights and strategic recommendations.
  • Build and maintain dynamic dashboards to support data-driven decision-making across the organization.
  • Serve as an analytical expert on user behavior, monetization, and conversion strategy.
Requirements
  • 4+ years of experience as a product analyst, with a strong focus on growth and experimentation.
  • Proven, hands-on experience designing and analyzing A/B tests in a data-driven environment.
  • A proactive mindset with a strong sense of ownership and initiative to drive business impact.
  • Strong analytical skills with the ability to translate data insights into strategic business decisions.
  • Advanced SQL skills and a deep understanding of data analysis techniques.
  • Experience defining and validating event-tracking specifications (event specs) for product analytics.
  • Solid foundation in statistics and its practical application in A/B testing.
  • Excellent English communication skills , both written and verbal.
  • B.Sc. in Industrial Engineering, Economics, Mathematics, Statistics , or a related field.
  • Experience with data visualization tools (e.g., Tableau) - an advantage.
  • Knowledge of product analytics tools (e.g., Mixpanel, Amplitude) - an advantage.
Show more

משרות נוספות שיכולות לעניין אותך

Limitless High-tech career opportunities - Expoint
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...
תיאור:
The opportunity
  • 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
What you'll be doing
  • 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
What we're looking for
  • 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.
You might also have
  • 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
Additional information
  • 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.

Show more
מנתח נתונים אחראי על איסוף, עיבוד וביצוע ניתוחים סטטיסטיים על מערכי נתונים גדולים כדי להפיק תובנות ולקבל החלטות מונחות נתונים. הם עובדים עם נתונים ממקורות שונים, כגון נתוני עסקאות, ניתוח אינטרנט, מדיה חברתית ועוד. לאחר מכן הם שואבים ומארגנים את הנתונים הללו, מפרשים ומנתחים אותם, ולבסוף מעבירים את התוצאות לבעלי עניין מרכזיים בחברה. מנתח נתונים חייב להיות בעל בסיס חזק במתמטיקה וסטטיסטיקה, כמו גם הבנה טובה של שפות תכנות כמו Python ו-SQL, כלי להדמיה של נתונים כגון Tableau ו-Power BI, וכלים למניפולציה של נתונים כמו Excel. כמו כן, עליהם להיות מסוגלים לעבוד היטב תחת לחץ ולטפל בפרוייקטים מרובים בו-זמנית, וכן לתקשר ביעילות עם בעלי עניין כדי להבין את צרכי הנתונים שלהם ולהציג ממצאים בצורה ברורה ותמציתית. תרומתם של Data analyst היא בלתי ניתנת למדידה. הם עוזרים לעסקים לזהות דפוסים ומגמות שמוסתרות אחרת בתוך מערכי נתונים גדולים, מה שיכול לעזור ליידע החלטות עסקיות קריטיות. על ידי מתן תובנות שעוזרות להניע צמיחה עסקית, מנתחי נתונים תורמים להצלחה הכוללת של חברה. יום טיפוסי עבור מנתח נתונים כולל עבודה עם מערכי נתונים גדולים, הפעלת שאילתות וביצוע ניתוח סטטיסטי לזיהוי דפוסים ומגמות. לאחר מכן הם מציגים את הממצאים שלהם לצוות, מתקשרים עם בעלי עניין כדי להבין את הצרכים שלהם ולשלב משוב, ומפתחים הדמיות נתונים כדי להעביר תוצאות ביעילות. בישראל טווח השכר החודשי של מנתחי נתונים משתנה בהתאם לניסיון ולרמת המיומנות. לפי נתוני אתר השוואת השכר Payscale, השכר החודשי הממוצע לנתח נתונים בישראל הוא בין 15,000 ל30,000 ₪, כאשר מנתחי נתונים מנוסים יותר מרוויחים קרוב ל-30,000 ₪ בחודש. אם אתם מחפשים קריירה מבוקשת במגוון תעשיות המשלבת מיומנויות טכניות ואנליטיות, ומציעה הזדמנויות לצמיחה, משרת Data Analyst יכולה להתאים לכם. באקספוינט אנחנו מחברים בין כישרונות מובילים לבין חברות מובילות, ומציעים מגוון רחב של משרות ניתוח נתונים, במיוחד לאנשים בעלי ניסיון שמחפשים לקדם את הקריירה שלהם. דפדפו בין מודעות דרושים data analyst ומצאו את המשרה הבאה שלכם.