Data Analyst Manager jobs in Israel

• Conduct data analysis to identify trends and insights, executing strategies to optimize user acquisition activity.
• Collaborate with account management teams to support and optimize key gaming accounts, ensuring client satisfaction and success.
• Communicate with advertisers on providing suggestions to optimize campaigns and improve user acquisition strategy.
• Work closely with internal teams to implement improvements, develop new features, and adjust strategies to ensure client success.
• Develop and present client-facing materials, including partnership decks, case studies, and presentations to drive business development efforts.

• Analytical Skills: Exceptional analytical and problem-solving skills with proficiency in data analysis tools such as Excel, Imply, or Looker.
• Strategic Thinking: Ability to approach problems strategically and execute strategies cross-functionally.
• Strong team player with excellent collaboration and interpersonal skills.
• Communication Skills: Excellent written and verbal communication skills in English, with the ability to present complex data insights clearly and effectively.
• Industry Knowledge: Previous experience working on mobile gaming or in the ad tech/gaming industry.
• Ability to multitask and prioritize in a fast-paced environment.
• Excellent verbal and written communication skills in English.

• Familiarity with mobile app tracking and attribution analytics platforms.
• Advantage - Russian speaker.

• 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.

• 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.

In this role, you’ll help define long-term strategy, elevate team execution and contribute to the ongoing evolution of our products.

• Partner closely with a seasoned product organization, including Product Managers, Content Managers and Product Designers, while mentoring team members, elevating product thinking and helping shape a high-performing product culture.
• Collaborate with stakeholders across the company to surface needs, identify opportunities and drive impactful product initiatives.
• Contribute to roadmap definition, strategic planning and execution of key initiatives.
• Step into hands-on product work when needed to move key efforts forward.

• 8–12 years of product management experience in B2C or B2B2C environments, with a strong track record of launching and iterating on user-facing products in close partnership with R&D.
• Proven track record of leading or mentoring other product managers.
• Deep familiarity with mobile and web trends, apps and content.
• Strategic mindset paired with strong execution skills - able to see the big picture while driving toward measurable outcomes.
• Demonstrated analytical skills with experience working on big-data products serving millions of users.
• Strong technical understanding.
• Excellent communication and organizational skills, with the ability to manage priorities and influence cross-functional teams.

• Experience in news or content-driven products.
• Background with monetization strategies, services and tools.

• 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.

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.

• 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)