דרושים » תוכנה » Data Analyst

the brand grabs attention like nothing else in cybersecurity. And were growing like crazy, with $70M in Series C funding, 200% employee growth, and 300% revenue growth in 2024. Fueling growth are our game changing agentic AI security solutions, backed by a team and culture that makes one of Forbes Best Startup Employers in America, and a Business Insider startup to bet your career on.

Life at is all gas, no brakes. Were a team of relentless, collaborative go-getters pushing the boundaries of whats possible for security automation. Every role is an essential driver of success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. Excited about our vision and ready to make an impact as we grow? Wed love to see what you can bring to the team.

A Product Analyst at plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.

What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.

We are looking for a highly analytical and detail-oriented Data Analyst to help us extract meaningful insights, refine our models, and improve customer experiences through data-driven decision-making.
Our Analytical Models team, part of the Product department, is at the core of our innovation. We design, refine, and enhance the analytical models that drive the intelligence behind our products. We work closely with product managers, data scientists and R&D teams to ensure our models are accurate, scalable, and aligned with business objectives.
Responsibilities
Analyze large-scale financial datasets to uncover trends, insights, and opportunities for model optimization.
Work closely with product managers and R&D to enhance the structure and logic of analytical models.
Monitor model quality by tracking accuracy, coverage, and overall performance, implementing improvements as needed.
Build dashboards and reports to visualize insights and present findings to both technical and non-technical stakeholders.
Collaborate in a dynamic, fast-paced environment, contributing innovative ideas to improve data-driven personalization.

This is an exciting opportunity to blend data engineering and analysis in a pivotal full-stack role.

Youll be instrumental in ensuring our data's accuracy and availability, while also generating key insights to drive strategic decisions across Marketing, Product, R&D, Sales, and Customer Success. This role offers a unique chance to leverage both your technical skills and business understanding to extract actionable insights from complex data. Reporting directly to the CTO and collaborating with key stakeholders, youll have a significant impact on our data-driven culture.

Key Responsibilities

Own, maintain, and enhance data pipelines to guarantee data availability and quality.
Analyze and interpret complex data related to marketing, product performance, and user behavior.
Collaborate effectively with various teams to gather requirements, build data understanding, and communicate findings clearly.
Identify and resolve data discrepancies, defining the "source of truth" for crucial metrics.
Develop dashboards to monitor KPIs, assess performance against targets, and pinpoint areas for improvement.
Maintain user funnel dashboards, setting up alerts for anomalies and opportunities.
Implement proactive data monitoring and anomaly detection systems to ensure data accuracy and consistency.
Lead integrations with third-party platforms, optimizing data inputs for marketing tools and advertising platforms, potentially developing algorithms and triggers for targeted actions (e.g., engaging high-value, at-risk, or potential users).
Contribute to the development of our customer-facing Arena Analytics pipeline and data warehouse using tools like Fivetran, Snowflake, and ThoughtSpot.

We are on a mission to find and resolve every legal violation, and We are looking for a Data Analyst to join our fast-growing team; to help us promote our data-for-justice revolution. We developed a platform that uses AI and Machine Learning to discover harmful legal violations, securing compensation for millions of victims.
If you are an highly motivated, organized, and process-oriented person, ready to put your skills to work. You are a team player, open-minded, and collaborative. You have an entrepreneurial spirit and can make things happen in a fast-paced startup environment.
Responsibilities
Identify, collect, and analyze data from diverse public and private sources.
Collaborate directly with our legal Intelligence team to understand their needs and provide data-driven insights.
Ensuring data accuracy and integrity.
Translate complex data into understandable, relevant insights for lawyers and other stakeholders.
Create and present clear, visually compelling reports to share findings with the team.
Stay updated with the latest legal tech and data analysis trends, ensuring our company remains at the cutting edge.

We are looking for an experienced and highly skilled Senior Data Analyst to join our team . The ideal candidate will have a strong analytical mindset, extensive experience in data analysis, and the ability to translate complex data into actionable insights. This role involves working closely with cross-functional teams to support strategic decision-making, improve business processes, and drive growth, with a focus on enhancing developer productivity and engineering metrics.

Join our team and make an impact through data-driven insights and take our reporting and research projects to the next level, creating new value
What You'll Do

Analyze large, complex datasets to identify trends, patterns, and opportunities.
Conduct in-depth research on industry trends and best practices to inform data strategies.
Develop, maintain, and deliver comprehensive reports to internal stakeholders and customers using data analysis and a variety of tools, including dashboards and visualizations, tailored to engineering performance metrics.
Generate actionable insights and identify opportunities for value creation across departments.
Offer data-driven recommendations to enhance engineering efficiency and improve team outcomes.
Act as a liaison between technical teams and business units to communicate findings effectively.
Stay updated on industry trends, tools, and technologies.

We are seeking a highly analytical and detail-oriented Data Analyst to join our data team. In this role, you will serve as a critical link between the Data team and the Finance department, as well as other key stakeholders. You will be focusing on financial data analysis, key company SAAS metrics, insight generation, and reporting in order to support key business decisions. The ideal candidate will possess strong financial acumen, data analysis skills, and the ability to work collaboratively across teams to ensure alignment on reporting, metrics, and financial strategy.
Key Responsibilities:
Conduct data analysis, identifying trends, and opportunities for improvement.
Collaborate closely with the BI development team to enhance and optimize data reporting tools, dashboards, and SaaS metrics.
Develop and maintain financial models to support budget forecasts, financial planning, and performance evaluations.
Support quarter-end and year-end closing processes by providing analytical insights and reporting on financial performance.
Assist in the preparation of reports and presentations that cover the companys main financial and SAAS metrics for leadership and key stakeholders.
Ensure data integrity and accuracy across all financial reports and dashboards.
Communicate complex data insights in a clear, actionable manner to non-technical finance and business teams.

We are looking for a talented and detail-oriented Financial Data Analyst to join our team! This role offers a unique opportunity to combine financial planning and analysis expertise with cutting-edge BI tools. Your main responsibility will be to provide a visual analysis of the ongoing key performance indicators to drive strategic decision-making, reporting to the CFO.
KEY RESPONSIBILITIES:
Develop and maintain financial models, forecasts, and reports
Design data models to support the financial models.
Create automated dashboards for KPI monitoring using Tableau and other BI tools
Conduct statistical analysis to identify trends, patterns, and optimization opportunities
Analyze complex datasets representing user behavior and financial performance across 1000+ mobile apps
Monitor and analyze marketing KPI performance and user monetization metrics
Translate complex financial data into actionable recommendations.
Collaborate across all departments to analyze performance metrics and support strategic planning.
Continuously improve processes to enhance efficiency and data accuracy.

A global sports technology hub that offers multiple solutions to dozens of millions of users worldwide. The company provides real-time results, updated stats, original content, aggregated information, customized news feeds, and more.
Our products are based on cutting-edge technologies that enable live updates and on-demand content libraries of the highest quality and scale.

seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

A global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. has offices in New York and Tel Aviv. For more information,.

About the Role:
As part of Risk Management team, you will be a part of a 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:
Review and analyze machine learning models and credit policies to determine the presence of any disparate impact using banking industry standard metrics
Build a detailed reporting process to assess on a quarterly and annual basis the continued compliance of credit models with regulatory requirements
Collaborate with Research team to develop less discriminatory alternative models when needed and provide complete documentation of the process
Perform comprehensive evaluations of portfolio performance by demographics to enhance fair lending reporting and analysis
Work closely with cross-functional teams, such as research, portfolio operations, product, and engineering, to identify the fair lending risks of new models and/or policies
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
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals

We are seeking a highly analytical and detail-oriented Data Analyst Marketing (Online & Offline) to join our team. In this role, you will analyze marketing campaigns, digital events, and offline activations to provide insights that drive performance improvements. Your expertise in data interpretation will help refine marketing strategies, optimize spend, and enhance customer acquisition and retention.

Responsibilities:

Analyze marketing campaign performance across multiple channels, including email, social media, paid advertising, webinars, and events.
Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to marketing campaigns and events.
Use statistical models and data visualization techniques to identify trends, patterns, and opportunities for optimization.
Collaborate with marketing teams to define campaign objectives, target audiences, and success metrics.
Conduct A/B testing and attribution analysis to evaluate campaign effectiveness and ROI.
Provide insights into customer behavior, segmentation, and engagement to enhance marketing strategies.
Work closely with the Data Engineering team on data acquisition and enrichment for our data warehouse.
Assist in forecasting and budgeting by providing data-driven recommendations.
Ensure data accuracy and integrity by managing data sources, cleansing datasets, and automating data processes.