דרושים » תוכנה » Legal Intelligence Analyst / Consumer Protection

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.

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).

we are seeking an Ad Operations Analyst to drive data visibility and operational intelligence across our Supply organization. In this role, you will bridge the gap between raw programmatic logs and actionable business intelligence, helping ensure operational stability and performance across multiple integrations.
You will analyze high-volume programmatic traffic and large-scale advertising datasets, working at the intersection of operations, analytics, and product, collaborating closely with Supply Operations, Product, Data Engineering, and Business teams. This is a high-impact role where your insights will help improve operational transparency, detect issues early, and support data-driven decision-making across the organization. The team actively leverages modern AI and automation tools to enhance analytics workflows, monitoring, and data exploration.
Responsibilities:
Own and develop supply monitoring frameworks and reporting dashboards used across the Supply organization to detect and resolve revenue-impacting issues
Aggregate and analyze data from multiple internal systems and external advertising platforms to support operational monitoring and analysis
Work with large-scale datasets across multiple advertising integrations, including SSPs, exchanges, and partner platforms
Identify trends, anomalies, and operational issues while generating actionable insights
Provide insights that influence operational decisions and supply optimization strategies
Investigate data discrepancies and operational issues by combining business logic, product understanding, and large-scale data analysis
Build and maintain automated data pipelines and API-based data collection processes
Develop dashboards and data visualizations that support operational monitoring and business decision-making using modern BI and AI-enabled tools
Collaborate closely with Data Engineering to improve data infrastructure and reporting reliability
Work with Product and business teams to visualize operational data and support strategic initiatives
Design smart alerts and monitoring systems, including anomaly detection capabilities, to proactively identify operational issues
Use automation and modern AI tools to improve analytical workflows and operational efficiency

looking for a Data Engineer to help build and scale our analytics data infrastructure. In this role, you will work closely with analysts and business stakeholders to design reliable data models and support the development of a centralized semantic layer used across the company.

You will play a key role in improving the structure, reliability, and usability of our data stack. This includes building and maintaining dbt models, supporting data pipelines, and ensuring analysts have access to clean, well-documented, and consistent data.

This role is ideal for someone who enjoys working at the intersection of data engineering and analytics - translating business needs into scalable data models and enabling teams to move faster with trusted data.

Responsibilities

Design and implement data models that support analytics across key business domains such as GTM, CX, and Finance
Build and maintain transformation workflows using dbt
Work closely with analysts to translate business questions into scalable and reusable data models
Help define and implement a structured semantic layer that enables consistent metrics across the company
Improve the reliability and clarity of the analytics data stack by centralizing logic into well-designed data models
Support the ingestion and transformation of data from various sources using tools such as Fivetran and Airbyte
Contribute to improving data quality, monitoring, and documentation practices
Help establish best practices for analytics modeling and data usage across teams
Actively leverage AI tools (e.g. Cursor, LLM-based assistants) to improve development speed, data modeling, and data workflows

Realize your potential by joining the leading performance-driven advertising company!
our companys Strategy and Intelligence team is building an execution-first, impact-driven capability to turn data and generative AI into a core advantage for our marketing organization and beyond. We operate with startup intensity, enterprise reach, and a relentless drive for actionable insights.
As an AI Insights and Research Specialist on the Strategy and Intelligence team in our Tel Aviv Office, youll play a vital role in owning the in-depth understanding of our customer portfolio and market landscape. This role is perfect for a data-savvy analyst who thrives on uncovering best practices and is eager to build and leverage AI tools and agents to scale their impact.
Youll be a key player in a high-impact Strategy and Intelligence team with direct visibility and ownership. Were not just analyzing data the traditional way; were operationalizing AI to revolutionize how we understand our customers and market. If you like lean teams, cross-functional execution, and using cutting-edge tech to solve real business problems, this is your home.
How youll make an impact:
Lead in-depth analysis of customer activity data to uncover trends, best practices, and actionable insights for the marketing organization and broader company.
Monitor and report on key performance indicators (KPIs) regarding our customer portfolio, providing data-driven recommendations to strategy leadership.
Conduct external industry research to benchmark our company against market standards and identify emerging opportunities, including leveraging industry databases.
Own end-to-end implementation of GenAI and automation projects in order to fulfill the above tasks and more - from scoping and prompt design to testing, documentation, and rollout.
Translate business needs into structured workflows, coordinating between non-technical and technical teams.
Translate complex data into clear, strategic narratives that drive decision-making across marketing and business teams.
Execute all of the above using AI tools extensively (AI first) to increase pace and quality of outputs.

Were looking for a Business Analyst - HR / People Analytics to join our fast-growing Business Analytics team and focus on building scalable people and workforce analytics capabilities across the company.
This role partners closely with People (HR), FP&A, and Data teams to deliver insights on workforce trends, hiring effectiveness, headcount planning, and people-related financial impact. The role complements existing HR analytics capabilities by focusing on cross-functional, strategic, and company-level analytics, in addition to operational HR reporting.
Youll combine strong analytical skills, understanding of people data, and business storytelling to help leadership make informed decisions about workforce planning, organizational health, and cost management.
Responsibilities
Talent & Recruitment Analytics
Analyze recruitment funnel metrics including time-to-hire, time-to-fill, conversion rates, and hiring velocity.
Support hiring plan tracking and capacity analysis in collaboration with HR and Finance.
Work closely with the HR Ops supporting Greenhouse to align data definitions and reporting logic.
Identify bottlenecks and improvement opportunities in the hiring process through data-driven analysis.
People & Workforce Analytics
Analyze workforce trends including headcount evolution, attrition, retention, internal mobility, and tenure.
Build reporting and insights around employee lifecycle metrics and organizational structure.
Partner with HR to improve data quality, definitions, and consistency across people systems.
Deliver actionable insights to People leadership and senior management on workforce health and risks.
Headcount, Cost & Financial Impact Analysis
Partner with Finance and FP&A to support headcount planning, forecasting, and scenario analysis.
Analyze the financial impact of hiring plans, attrition, and organizational changes on operating expenses.
Support workforce cost modeling, including payroll and people-related expenses.
Help align people plans with budget targets and company-level financial objectives.
Data & Analytics Operations
Use SQL and Snowflake to extract, structure, and analyze people-related data.
Build end-to-end dashboards and reports using Tableau (preferred), from data modeling to visualization.
Collaborate with Data /BI team to improve data pipelines, governance, and reporting infrastructure.
Leverage automation and AI-driven tools where applicable to improve reporting efficiency and scalability.
Cross-Functional Collaboration & Communication
Act as a trusted analytics partner to HR, Finance, and leadership stakeholders.
Translate complex data into clear insights and business stories for executive audiences.
Prepare presentations and analysis for leadership reviews, planning cycles, and strategic discussions.
Contribute to the continuous improvement of people analytics frameworks and reporting standards across the company.

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.

Were Hiring BI & Product Analyst
About The Position
Join Our Mission
We are dedicated to creating a world where every older adult receives the care they truly deserve. Guided by compassion and driven by innovation, we aim to redefine the future of caregiving. If youre passionate about making a meaningful impact, join us in advancing our virtual assessment tool. This cutting-edge technology monitors seniors' health in their homes 24/7, delivering emergency alerts, actionable insights, and predictive analysis to enable proactive and effective care.
Here, youll discover exciting opportunities for professional growth, make a direct and meaningful impact on our products and company, and contribute to a mission that truly matters.
Position Overview:
Are you passionate about turning data into real-world impact? were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbers-youll unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategy-empowering teams across the company to make smarter, faster, and more impactful decisions.
Key responsibilities:
Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.

We are seeking a highly motivated and experienced Senior Product Analyst to join our team. This position is part of our Voice Group, reporting to the Data Team Lead. You'll be the analytical backbone of the team, working side-by-side with PMs and engineers to find what's working, what can be improved, and what to build next.

We are looking for someone with a relentless curiosity for both user behavior and AI/ML mechanics; someone who understands how models function and possesses a natural drive to dig into data anomalies until they make sense. Your work will directly shape how our voice agents perform, from surfacing patterns in conversation data to providing the inputs that improve our models.

Responsibilities
Analyze conversational data at scale to uncover opportunities for improving resolution rates, success rates, conversation depth, and growth.
Partner closely with Voice PMs to translate data findings into product priorities and roadmap inputs.
Provide the analytical insights and requirements that drive model improvements while collaborating with ML and engineering teams to define and own end-to-end success metrics.
Build and maintain dashboards and metrics that give the Voice group a shared, reliable view of performance.
Design and analyze experiments and A/B tests to validate hypotheses about agent behavior, conversation flows, and user outcomes.
Develop a deep understanding of our conversational data, taking full ownership of the analytical infrastructure to ensure the highest standards of data integrity and becoming the primary storyteller for your domain.
Proactively investigate data anomalies or gaps to identify root causes and propose solutions without waiting for external direction.

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.