לוח משרות דרושים Data Analyst

Were looking for a hands-on Business Systems & Automation Specialist to join our growing team. In this role, youll manage and optimize the business applications and integrations that power Candexs operations.
Youll be part of the team that owns the companys applications ensuring theyre well-maintained, scalable, and integrated to support business growth.
Youll be one of the go-to experts for building automations and workflows to streamline operations across departments such as Sales, Customer Success, Operations, etc...
Responsibilities:
Administer and maintain core business systems and SaaS tools.
Design, build, and manage automations, native integrations, and custom API scripts.
Partner with cross-functional teams to understand business requirements and translate them into efficient system solutions
Explore, test, and implement new technologies or integrations that can add value to the business.
Manage CRM configuration, data integrity, and automations to support sales and account management workflows.
Monitor system performance, troubleshoot issues, and ensure optimal reliability.
Identify opportunities to improve processes through technology and automation.
Document system configurations, workflows, and best practices.
Collaborate with IT & security to ensure compliance and secure integration across tools.

were looking for a Marketing & Growth Data Analyst to help shape how we grow. In this role, youll work closely with Marketing leaders and senior management to measure performance, run meaningful analyses, and influence decisions that drive efficient customer acquisition and revenue growth. The role focuses on performance measurement, advanced analytics, and statistical modeling to inform strategy, budget allocation, and optimization decisions. This is a hands-on role in a fast-moving startup environment, with real ownership, high impact, and strong exposure to leadership.
Responsibilities:
Partner closely with Marketing leadership and top management on high-impact growth decisions.
Define, track, and evolve core Marketing & Growth metrics (CAC, LTV, ROAS, payback, etc.).
Build dashboards and recurring insights using Tableau, backed by Snowflake and dbt.
Analyze performance across multi-channel marketing efforts (paid, organic, lifecycle, partnerships).
Design, run, and analyze A/B tests and experiments, from metric definition to insights.
Own and improve tracking and attribution frameworks to ensure reliable measurement.
Build and apply statistical and econometric models (e.g., MMM, regression, incrementality) using Python or R.
Support forecasting, planning, and budget allocation with data-driven insights.
Communicate findings clearly and confidently to non-technical stakeholders.

his is an outstanding opportunity for a technically skilled and analytically driven individual to bridge product strategy and technical execution. You will work closely with cross-functional teams to analyze, model, and define software systems that scale and perform under the demands of our global aggregation platform. Join us in crafting the future of the iGaming industry by contributing to the logical architecture, data flow, and integration build that power world-class gaming experiences!

What You'll Do
Collaborate with Product Managers, Architects, and developers to break down requirements into actionable, high-fidelity system specifications.

Define and detail high-level system design and interactions across client applications, services, and integrations.

Build and maintain logical component models, module interaction diagrams, and data flow diagrams (DFDs), including process flow or UML diagrams.

Build and manage logical data models (ER diagrams) and data dictionaries to describe entities, relationships, and data flow between modules.

Define UI screen flows and navigation logic at a logical level, including optional mockups or wireframes to aid clarity.

Invent and document security layers including authentication and authorization flows, and access control models.

Lead the logical integration build for internal modules and external systems-documenting APIs, data contracts, and integration touchpoints.

Maintain a clear traceability matrix between business requirements, system behavior, and functional specifications.

Lead grooming and system analysis workshops with development teams, ensuring alignment with architecture and solution vision.

Evaluate system impact for feature improvements, changes, or third-party integrations, and document interdependencies and trade-offs.

Support QA teams and UAT processes by clarifying system behavior and data expectations.

Required Intelligence Specialist
Jerusalem
Full time
About the team:
Our Intelligence Team was built in order to play a central role in shaping how the company navigates an increasingly complex and competitive global environment.
We track fast-moving trends, decode strategic shifts, and deliver insight that informs decision-making across product, strategy, policy, and executive functions.
Our work is dynamic, cross-disciplinary, and often ahead of the curve.
This is not a classic research role. We're looking for someone with a strong intelligence background who knows how to go beyond surface signals, connect disparate dots, and generate actionable insights with clarity and discretion.
Our mission is to detect trends and use those to evaluate risks or opportunities for us. Therefore, we are looking for someone who can anticipate future trends based on real-time developments.
The position requires on-site presence two days a week at our Jerusalem office and two days a week at our Tel Aviv office.
What Will Your Job Look Like?
Analyze the present and future landscape of the autonomous vehicle and mobility ecosystem, identifying key developments in technology, industry dynamics, and emerging players
Identify high-value information from unconventional sources, including conversations, events, and informal market signals
Translate fragmented or ambiguous inputs into concise, strategic briefs that inform decision-makers
Build and maintain stakeholder and ecosystem maps to support internal initiatives and long-term planning
Collaborate closely with product, strategy, and business teams to ensure intelligence is timely, relevant, and actionable.

Were looking for a strong Legal Intelligence Analyst to help scale our Consumer Protection team.
The role focuses on researching legal violations and building data-driven ways to identify them at scale. Youll work on turning legal theories into structured data workflows, using large datasets, APIs, data analysis, vibe coding and automation to uncover patterns and surface litigation opportunities
Were looking for someone with a solid understanding of law who is comfortable working with data and AI tools and thinking analytically about legal phenomenons. Someone who enjoys digging into legal questions and theories, and building scalable data solutions. We also value someone who enjoys working in a team and collaborating closely with different teams across countries.
Responsibilities:
Research and analyze potential legal violations in the consumer protection space
Turn legal theories into structured, scalable data workflows
Work with large datasets, APIs, vibe coding and internal tools to identify patterns and surface litigation opportunities
Build and improve automated processes for detecting violations at scale
Collaborate with Product, R&D, Sales, and Legal teams to develop and refine intelligence tools
Support case development by generating insights, summaries, and data-driven evidence
Monitor new trends, regulations, and enforcement activity to identify new opportunities
Continuously improve how we collect, structure, and analyze data across cases

Our Legal Intelligence team is expanding, and we are seeking a Legal Intelligence Specialist to join our Finance team.
This is not your typical role. As a Legal Intelligence Specialist, you will play a pivotal role in uncovering large-scale legal violations that impact millions of Americans. From bankruptcy to ERISA, your work will contribute to delivering real-world justice at scale.
The ideal candidate has a firm legal background combined with a good understanding of data and financial concepts. While expertise in all areas of our work isnt required, we value individuals with curiosity, a growth mindset, and the ability to learn quickly.
innovation is our standard. We encourage creativity, entrepreneurial thinking, and the pursuit of new ideas-there is no single right way to approach problems here.
Responsibilities:
Use data, AI, and innovative thinking to uncover large-scale legal violations.
Conduct legal research to support investigations as needed.
Develop creative methodologies for analyzing and interpreting unstructured data.
Collaborate with the team to maintain high production quality and identify emerging legal phenomena.
Assess and verify the reliability of diverse sources (legal and otherwise).

Our Privacy team is growing, and we are looking for a Legal Intelligence Analyst to join the team.
Responsibilities:
Play a key role in Darrows Analysis core team - combining technology research, intelligence gathering, data analysis, and legal research capabilities.
Translate the companys needs into actionable data collection plans.
Locate new data sources, using advanced analytical tools.
Help establish automatic methods in collaboration with Darrows Product and R&D team.

Now were looking for someone who will disrupt them.
We want a builder with an innovative, AI-first mindset - someone who looks at a stable environment and sees opportunity for reinvention.
Someone who doesnt just maintain systems, but redesigns them.
Someone who challenges how weve always done it and replaces it with automation, intelligence, and smarter workflows.
Reporting to the HR Ops Director (CoE), you will evolve our HR function from operationally solid to technologically exceptional - building the next generation of HR where humans and AI agents work seamlessly together.
What Youll do:
- Lead AI & Automation Initiatives
Identify repetitive, manual HR processes and automate them.
Build and deploy AI agents to support HR operations.
Experiment with new AI tools and continuously introduce smarter ways of working.
Enable the HR team and managers to work effectively alongside AI, building a true human + agent collaboration model.
- Keep upgrading our HR infrastructure
Own and continuously evolve our HRIS (HiBob) as a strategic platform.
Design scalable, automated workflows across the employee lifecycle - from onboarding to offboarding.
Ensure data integrity, clean system architecture, and seamless tool integrations.
- Drive People Analytics & Strategic Insight
Turn workforce data into actionable insights for leadership. Lead reporting and analysis around attrition, headcount planning, performance trends, cost management, and organizational health.
Build automated dashboards and reporting frameworks that reduce manual reporting and improve decision-making.
Use predictive thinking to anticipate risks and opportunities.
- Optimize Comp&Ben & Ensure Compliace
Lead comp&ben, support and optimize total rewards processes, ensuring efficiency and market competitiveness.
Maintain operational excellence and compliance across employment lifecycle processes, documentation, and policies.
Create structured, scalable solutions that mitigate risk and ensure consistency.-
- Champion Continuous Improvement
Partner closely with Finance, Legal, Talent Acquisition, and business leaders.
Align workforce planning, compensation processes, and operational frameworks with company objectives.
Introduce automation and system improvements across cross-functional workflows.
Proactively identify inefficiencies, gaps, and friction points in HR operations.
Raise the bar on how HR operates - making it faster, smarter, and more impactful.

We are looking for a Data Analyst who will be part of our Growth team and have a significant ability to impact our business.
Whats the job?
Develop predictive models and perform advanced data analysis to generate key insights and actionable recommendations for high-level management.
Conduct deep analytical investigations, including hypothesis-driven analysis, data exploration, and anomaly detection, to uncover trends, root causes, and business opportunities.
Work closely with Customer Success, Product, and Business teams to analyze partner performance, identify optimization opportunities, and translate data insights into scalable operational improvements.
Build and maintain machine learning pipelines, data analytics automation tools, and scalable processes to improve company revenue, partner performance, and Customer Success operations.
Collaborate with the team to design experiments (A/B testing) and continuously improve the analytical and reporting processes through streamlined and scalable approaches.
Contribute to the development and maintenance of advanced data dashboards, reports, and visualizations that track business performance, model performance, and overall data health, and ensure robust data quality and tracking mechanisms.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.

We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.

This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.

Key Responsibilities

Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.

Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.

Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.

Monitor and automate fraud detection processes to enhance efficiency and effectiveness.