לוח משרות דרושים Data Analyst, לחיפוש זה נמצאו 133 משרות

As a Technical Account Manager (TAM) in our Enterprise Support, you will serve as the primary technical advisor and voice of the customer for a portfolio of fast-growing Israeli startups. You will play a crucial role in fostering their innovative and transformative work across AI/ML, compute (including accelerated and GPU workloads), containers, networking, storage, databases, serverless, security, and more. It's an opportunity to work closely with technical founders and engineering leaders, helping them make the right architectural decisions at each stage of their growth journey.

Key job responsibilities
- Act as the primary technical advisor for your startup customers, building trusted-advisor relationships with CTOs, VP Engineering, and founding teams.
- Engage across the full customer organization, from individual engineers through to C-suite, adapting your communication to each audience.
- Help accelerate customer growth by crafting strategies that balance startup velocity with Well-Architected best practices across AI/ML, compute, containers, and data infrastructure.
- Conduct architecture reviews, operational assessments, and proactive risk identification. Analyze service events and operational patterns to drive continuous improvement in resilience, performance, and cost efficiency.
- Drive technical discussions with founding teams on architecture trade-offs, incident response, and risk management as their systems scale.
- Uplift customer capabilities by running workshops, enablement sessions, and brown bag sessions tailored to their technical needs.
- Champion and advocate for your customers by connecting their feedback to our engineering teams, influencing platform evolution, and ensuring rapid resolution of concerns.
- Collaborate with Solutions Architects, Business Developers, Professional Services, and Account Managers to deliver coordinated customer value.
- Develop and share technical content such as blog posts, reference architectures, and reusable solutions that help startups solve common challenges and reduce time-to-market.

As our Commercial Insights and Analytics Specialist, you will be the key link between data and business decisions. Working closely with commercial stakeholders, you will analyse and translate complex datasets into clear insights and recommendations that support strategic and operational priorities.

Key responsibilities include:

Lead the generation of integrated commercial insights by combining data from multiple internal and external sources to identify risks, opportunities, and performance drivers.
Own and develop sales analytics, targeting, segmentation, KPI tracking, and business intelligence reporting to support field force effectiveness and commercial execution. Provide ongoing analytics support to sales leadership.
Partner with Marketing and Customer Excellence teams to build consumer analytics capabilities, leveraging digital, social, DTC, PSP (Patient Support Program), and engagement data to drive business outcomes.
Design, maintain, and continuously improve BI dashboards and reporting solutions, ensuring stakeholders have access to high-quality, actionable insights.
Contribute to the development of AI-enabled analytics and insight generation capabilities while supporting data quality, governance, and continuous process improvement.

we are looking for a Sales Operations Business Analyst.
In this role you will be part of the sales Operation team and will be in charge of the following:
Responsibilities:
Own the full Sales Operations readiness for NPI initiatives, ensuring all operational processes, system configurations, and cross-functional communications are in place to support launch execution.
Manage product pricing setup and maintenance within Oracle ERP to support accurate and efficient sales execution.
Own and maintain CRM and ERP data integrity across key platforms such as Salesforce and Oracle, while driving user compliance with established standards and processes.
Collaborate closely with IT and MIS teams to improve business processes, streamline workflows, and resolve system-related issues.
Document core business processes and support the definition, implementation, and adoption of sales operations procedures across the organization.
Act as the central point of contact for Sales regional teams, Finance, Product, and SOX on sales operations-related processes and initiatives.
Build recurring dashboards and reports, analyze trends, identify process gaps, and translate insights into actionable recommendations that drive continuous improvement.

we are looking for a Data Science Group Lead.
The Group Lead is a critical leadership position within . This role involves managing a high-performing group responsible for driving profitability and strategic decision-making through advanced data analytics, optimization strategies, and predictive modeling related to loan funding and issuance (specifically in the Personal Loans product, which is largest product).
This is primarily a management-focused role, requiring a high level of technical understanding to guide the team, combined with the professional maturity and executive presence necessary to effectively collaborate with and present to company leadership.
Responsibilities:
Leading, mentoring and managing a multidisciplinary group comprising Data Scientists, Data Analysts and Optimization Specialists.
Defining and executing overall strategy, ensuring alignment with the companys financial goals and product roadmap.
Oversighting of the group's projects, initiating new ideas and proactively improving the companys abilities.
Fostering a culture of data-driven decision-making, continuous learning, and high-velocity iteration within the team.
Directing the team in performing sophisticated data analytics to identify trends, market anomalies, and segmentation opportunities impacting profitability.
Leading the development and implementation of optimization algorithms and strategies aimed at maximizing loan portfolio performance, minimizing risk, and increasing overall profitability.
Translating complex data insights into clear, actionable business recommendations for partnerships and operational teams, to ensure seamless integration of data-driven solutions.
Serving as the primary representative of the group, presenting complex findings, strategic recommendations, and group performance metrics to the company's executive team and other departments.
Guiding the development, validation, and deployment of advanced predictive models to enhance performance.

we are looking for a Data Analyst (Maternity leave).
As part of data team, you will be the gateway of data from multiple sources and of multiple partners. The data team is a part of research & data science department, and its mission is to integrate, align, analyze, and extract data to serve decision making processes across.
Responsibilities:
Define and implement data policies, logics, and structures that will best serve the companys capability to improve its modeling, business understanding, and strategic decision making.
Own and create end to end data products, from raw data to monitoring and analysis tools.
Write and execute complex SQL queries for data retrieval and alignment.
Prepare on demand data analysis and reports for various stakeholders including management using Python/SQL/other data analysis instruments, processing large and complex data sets.
Full responsibility for new partners' data integration process, including business requirements definition, data processing and verification.
Explore new data sources and communicate insights to partners, internal stakeholders, and management.
Work closely with cross-functional teams, such as research, engineering, product, and finance, to define business needs and design data models to serve them.
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals.
Assist to create structured data processes that will enable the companys scalable growth.

we are looking for a Risk Data Analyst.
As part of Risk Management team, you will be a part of a pivotal, growing organization within the company. The Risk Management departments mission is to analyze, review, and mitigate risk in decision making processes across .
As part of your role, you will:
Support the fair lending lifecycle including monitoring credit underwriting policies for disparate impact and conducting demographic portfolio analyses. Maintain regulatory compliance reporting and partner with cross-functional teams to identify risks and implement less discriminatory alternatives, as well as providing thorough documentation of all of the above.
Own end-to-end data products, from extracting raw data from complex datasets to developing sophisticated analyses, monitoring systems, and reports using Python, SQL, and other analytical tools.
Translate complex data models into actionable business intelligence with the goal of improving modeling, business understanding, and strategic decision making, as well as clearly communicating complex findings to partners, internal stakeholders, and management.
Partner with cross-functional teams across research, operations, product, and engineering to proactively identify and manage risks associated with new models and/or policies
Continuously broaden your knowledge of operational, business, and technological landscape and identify and execute high-value initiatives that contribute to the company's strategic goals.
Leverage AI-driven tools to automate workflows and drive operational efficiency across the team

We're looking for a hands-on Data & AI Product Engineer to join the Product team and help shape our next generation of AI products, AI infrastructure, and cyber data insights.

You'll be our first dedicated data and AI expert inside Product, working closely with R&D, GTM, and leadership. The role sits where cybersecurity, strong coding, data engineering, AI model development, and product thinking meet. You'll identify where AI can create real customer value, prototype AI-native capabilities, train and evaluate models, and push R&D with practical ideas grounded in product data, customer behavior, and cyber insight. In parallel, you'll build the foundation for product usage monitoring, KPI infrastructure, and ongoing alerts, giving Product, R&D, Sales, Customer Success, and leadership a trusted basis for decisions. This is a build-first role for someone who wants to code, explore, analyze, and shape the future of AI in cybersecurity.

Responsibilities:
Prototype AI-driven product concepts and turn ideas into concrete experiments, working with LLMs, agents, and ML models to support future product capabilities.
Build reusable AI and data infrastructure that future product development can stand on.
Analyze product, usage, customer, and cybersecurity data to surface patterns that improve security outcomes, adoption, and product effectiveness.
Translate complex data and cyber patterns into clear recommendations for Product, R&D, GTM, and leadership.
Own the product data foundation end to end: usage, adoption, customer behavior, KPIs, and operational metrics, and build the alerts that flag meaningful changes.
Create a trusted source of truth for product usage, adoption, engagement, and product value metrics.
Support GTM teams with usage insights, adoption analysis, and data-backed narratives, and contribute to the team's product and AI strategy.

we are looking for a Product Analyst Team Lead.

As an Analytics Engineer within the Delivery & Operations organization, you will operate at the intersection of data engineering and analytics, with a strong focus on data quality, reliability, and scalability.

This role combines hands-on ownership of data pipelines and data transformations with the ability to effectively interface with customer-facing teams (Customer Success, and Delivery) when needed-helping ensure that data outputs are accurate, clear, and aligned with real-world use cases.

Responsibilities
Build and maintain data models, pipelines, and ETL processes to support analytics, reporting, and machine learning.
Own data quality and validation, including monitoring, auditing datasets, and identifying anomalies.
Support customer-facing teams by providing reliable data, clarifying definitions, and investigating data issues.
Collaborate cross-functionally and work with existing codebases to debug, improve, and maintain data workflows.
Ensure high-quality data across the lifecycle to support reliable ML pipelines.

we are looking for a Staff Product Manager.
As a Staff Product Manager on our Identity Resilience team, youll drive the strategy and execution of core Identity resilience capabilities, expanding to new use cases, and ensuring our customers identity providers and infrastructure are continuously operational, secure, and compliant. This role is a unique opportunity to shape the future of the identity market. You will partner closely with engineering, design, sales, and customers to deeply understand their challenges and bring a differentiated, market-leading solution to life.
Key Responsibilities:
Own and execute the product roadmap for Operational Continuity across the Identity fabric - including Okta, Ping, Entra ID, Active Directory, and the connected infrastructure.
Balance customer needs, competitive dynamics, and business objectives, to drive outcomes that move the business.
Drive adoption and engagement of identity resilience features, working closely with enterprise customers to understand their pain points and requirements.
Collaborate with cross-functional teams, including engineering and design, marketing, and sales to ensure the product roadmap aligns with business goals and customer needs.
Own the full product lifecycle, from ideation and discovery to launch and ongoing iteration.
Stay up to date on industry trends, identity security best practices, and compliance frameworks. Know what competitors ship before our customers ask about it.
Define key success metrics and use data-driven insights to make product decisions.
Represent the product internally and externally, serving as a subject matter expert in Identity Infrastructure Resilience.
Drive AI-native product development, leveraging agentic workflows to move 10X faster across research, design, and delivery.