דרושים » תוכנה » Data Security Analyst

For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease. technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the data Team data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day Were looking for a Product Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. The product Growth Analyst role is Embedded within product teams and drives impact end-to-end through the product development life cycle. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of.
What you will be doing You will work closely with Product teams and your responsibilities will include:
* Analyze user behavior and product usage to identify customers needs to inform product development and strategy.
* Collaborate with the Product team, to define KPIs and measure the impact of product development on performance.
* Measure features adoption and retention and identifies opportunities for growth..
* Design, execute, and analyze A/B tests to measure the impact of product changes and refine strategies.
* Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
* Play a key role in understanding our users and their needs.
* Lead the development of innovative data products.
* Stay updated on industry trends and best practices in data analysis and product optimization.

Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if thats not enough, we guarantee that your ideas will genuinely make an impact.

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.

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.

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.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking an experienced Senior Fraud 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.

We are looking for a Senior Data Analyst who will join our R&D team.
As a Data Analyst, you will have a significant opportunity for impact, driving the company to new heights. You will influence decision making processes throughout the user journey, be a partner to different teams, and drive strategic business decisions that shape the direction of the company.

What you will do:
Identify, analyze, and interpret trends or patterns in complex data sets to drive actionable insights.
Understanding business operations requirements and creating useful and planned solutions to address data needs.
Analyze large datasets and provide useful actionable recommendations to support the business operations goals.
Develop data processes and build data infrastructure for the relevant stakeholders.
Build and maintain reports, dashboards, and KPIs to monitor performance.
Translate business requirements to analytical logics, and create a clear visualization which "tells the story".

Were looking for an experienced and passionate Growth Data Analyst to join one of our agile analytics teams. Youll be a strategic partner, and a decision maker, working closely with Revenue leadership to determine exactly where Lemonade wants to scale its Growth and Marketing efforts. Youll help model complex data, uncovering patterns and delivering data-driven insights that help us grow our business. As a Growth Data analyst, youll ask the right business and strategic questions, and find the insights to answer them.

In this role youll:

Be part of the Analytics chapter, spending your day-to-day as the data expert in our Revenue team.

Build and maintain the data analytics infrastructure for accurate and timely reporting and sophisticated analysis.

Provide the analytical firepower to help evolve our acquisition strategy and grow our user base effectively and efficiently, with a particular focus on EU markets.

Collaborate with other data analysts and leverage the many marketing science tools we have developed to continuously measure, test, and optimize across all partners and platforms.

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.

Were looking for a Product Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. The product Growth Analyst role is embedded within product teams and drives impact end-to-end through the product development life cycle.

You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of Riverside.



What you will be doing

You will work closely with Product teams and your responsibilities will include:

Analyze user behavior and product usage to identify customers needs to inform product development and strategy.
Collaborate with the Product team, to define KPIs and measure the impact of product development on performance.
Measure features adoption and retention and identifies opportunities for growth..
Design, execute, and analyze A/B tests to measure the impact of product changes and refine strategies.
Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
Play a key role in understanding our users and their needs.
Lead the development of innovative data products.
Stay updated on industry trends and best practices in data analysis and product optimization.

The Product Business Intelligence team is looking for an experienced, data-driven, and highly motivated senior data analyst to join our data team that is responsible for the IronSource network. Our team's mission is growing the network through data driven insights and decision making. In team we partner with leadership, product managers, engineers, revenue teams, and other stakeholders, to uncover opportunities, deliver actionable insights, and provide recommendations that drive business outcomes and address IronSource's data and analytical needs.

What you'll be doing:
Partner with leadership and Product to develop long term strategy and leverage data-driven insights to provide recommendations, breaking down strategic opportunities into actionable, clear roadmaps.
Define, instrument, and monitor key product and network KPIs to track progress, evaluate product performance, and assess overall health.
Identify and promote opportunities for impact across different product areas while analyze large datasets from multiple products to deliver insights that will guide product development.
Identify, evaluate, and support the execution of key business opportunities with data-backed insights, ensuring measurable outcomes
Own, maintain, and develop the reporting data pipeline for specific products and custom dashboards.
Work with various relational and non-relational databases, including Presto, BigQuery, Redshift, MySQL, and more.