דרושים » תוכנה » Technical Digital Analyst

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.

We are looking for an experienced data Engineering team leader In this role, you will lead and strengthen our data Team, drive innovation, and ensure the robustness of our data and analytics platforms.
A day in the life and how youll make an impact:
* Drive the technical strategy and roadmap for the data engineering function, ensuring alignment with overall business objectives.
* Own the design, development, and evolution of scalable, high-performance data pipelines to enable diverse and growing business needs.
* Establish and enforce a strong data governance framework, including comprehensive data quality standards, monitoring, and security protocols, taking full accountability for data integrity and reliability.
* Lead the continuous enhancement and optimization of the data analytics platform and infrastructure, focusing on performance, scalability, and cost efficiency.
* Champion the complete data lifecycle, from robust infrastructure and data ingestion to detailed analysis and automated reporting, to maximize the strategic value of data and drive business growth.

Required Cyber Data Analyst
Description
We are redefining trust in blockchain through advanced, integrated security. Our on-chain security platform is trusted by leading Web3 companies-including Coinbase, MetaMask, Uniswap, Backpack, Stellar, and others-to detect, understand, and automatically prevent or minimize the impact of fraud, scams, hacks, and financial threats.
We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity.
As a Senior Data Analyst within our R&D team, you will shape how we understand data, uncover trends, and drive strategic decisions across. Working closely with cross-functional teams, you will turn complex datasets into actionable insights that directly influence our business growth and product direction.
Your Chain of Impact:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.
Partner with cross-functional teams to understand business needs and design data-driven solutions.

Our growing Data department is looking for a CRM and Retention Data Analyst.
We are looking for a highly motivated individual who is sharp, autodidactic, and collaborative.
You will deep dive into data, analyze patterns, identify trends, define, and develop KPIs and other measurement tools. Provide insights into the performance of our retention team.
Responsibilities:
Support of ongoing analytical needs of the CRM and Retention team
Analyze effectiveness and performance across multiple channels (Emails, SMS, Push, etc), providing actionable insight for data-led optimization
Translate business questions into data analyses and clear insights
Identify trends, opportunities, and areas for improvement, and provide data-driven recommendations
Design, analyze, and evaluate tests and experiments
Work with large and complex datasets to support strategic and operational decisions
Combine data from multiple sources to create a complete view of user behavior
Build and maintain reporting and dashboards using SQL and BI tools
Partner with cross-functional teams to ensure data is used effectively in decision-making
The position is in Ramat HaHayal, Tel Aviv.

we are looking for a Product Analyst to join our Data team and take ownership over analytics for core product areas. In this role, you will work closely with multiple product and engineering teams, play a key role in product decision-making, and drive business growth through deep data analysis and experimentation.
This is a unique opportunity to lead analytics in high-impact product domains and influence decisions at scale.
What am I going to do?
Own analytics across core product areas and user flows
Analyze product performance and derive actionable insights
Plan, run, and analyze A/B tests end-to-end, including experiment design, metric definition, and impact analysis
Partner closely with Product Managers and Engineering teams as the data focal point for product decisions
Build and maintain analytical foundations, including tracking, events, funnels, and data processes
Proactively monitor key metrics, identify trends or anomalies, and communicate insights to stakeholders
Create visibility through reports, dashboards, and alerts to support ongoing decision-making
Lead deep-dive analyses and broader business research as needed.

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 the Senior Knowledge Engineer, you will be the designer of a system that treats global infrastructure as a formal graph, where every node and edge is traced back to a versioned source of truth. This role is a part of the Product CTO organisation that includes a team of Technical Strategy leaders that bring outstanding ideas, the ability to execute cross functionally, and teamwork to a strategic, high future impact organisation.

The Vision:

The security industry is drowning in observed symptoms while starving for attestable truth. At CrowdStrike, we are building a high integrity infrastructure fabric - a platform that doesnt just scan for risks, but proves them through a deterministic digital twin of the enterprise.

The Challenge Youll Solve: How do you build a robust extensible framework that can connect to hundreds of different APIs, from mainstream cloud providers to niche security tools? How do you write the code that can parse and normalise their widely different schemas and data formats, and then efficiently map them into a canonical graph model? This is your build.

What You'll Do:
Build our Universal Translator Framework: You will be the primary builder of our data ingestion and semantic transformation pipelines. You will design and implement the core framework and specific connectors to parse API schemas and transform raw data into our canonical model.

Architect the Knowledge Construction Engine: You will implement the systems that turn data into knowledge. This includes building the code generators that compile our team's high level mapping configurations into low level artifacts, and developing the software for our entity resolution engine to fuse disparate data into unified conceptual entities.

Data Quality & Validation Strategy: You will contribute to a multi-backend graph architecture optimized for both real time temporal state and deep multihop path analysis.

Work Crossfunctionally: Work closely with the Principal Ontologist, Asset Platform, Risk Platform, Ingest, and Design Teams.

Lead, Mentor, and Align: Guide a diverse team of engineers, taxonomists, and subject matter experts in distilling vendor specific noise into a unified topography of risk.

Provide support to the wider CTO organization including the Falcon Fund, Privacy & Cyber Policy, Data Science and Detection Architecture teams, as well as the broader CrowdStrike organization as needed.

Work with industry analysts to provide product updates, briefings, and demonstrations.

We're looking for a Data Analyst to join one of our R&D. You'll design and deliver data-driven solutions that combine data analysis, statistical methods, improved heuristics, and ML models training to power our company's autonomous supply chain intelligence platform. You'll work closely with data science, engineering, product, and supply chain experts - owning solutions from problem definition to iterative improvement.
Responsibilities
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of supply chain performance
Improve and maintain heuristic rules and analytical models for supply chain use cases (e.g., inventory risk, demand patterns, root-cause analysis)
Train and iterate on ML models to enhance existing analytical solutions
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement and refine hybrid decision logic by combining analytical outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Collaborate with software engineers to support deployment of analytical solutions, including testing and logging
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking.

Join us and help shape the strategic direction of economies for some of the largest social casino and casual titles in the world. As a Senior Game Economy Specialist, you will take ownership of complex economic systems, collaborate with cross-functional teams, and directly influence player experience and revenue across our games.
How will you make an impact with us?
Architecting, optimizing and balancing complex multi-layered economic systems across live and new games.
Leading deep-dive analyses into player behavior, progression, monetization patterns, and the health of game economies.
Create and manage in-game economic systems, including item pricing, progression curves and reward structures
Identifying opportunities to maximize player engagement, satisfaction, and LTV through data-driven recommendations.
Partnering closely with Product, LiveOps, Design, Analytics and Monetization teams to align strategy and execution.
Mentoring junior specialists, reviewing their models, and raising the overall analytical and economic quality within the team.
Owning pricing strategy for in-game goods and currencies and ensuring a healthy balance between free and paid progression.