דרושים » תוכנה » Senior Data Analyst

We are 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 365Scores 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.

Required Senior Fraud Data Analyst
Description
Come [legally] hack with us the data on the largest exchange thats running our world. Not NASDAQ; the one with way more events - the Global Ads Exchanges, where millions of ads are born and clicked every second. Step behind the curtain of algorithms and competitors that move $1T of annual budgets. Plunge into a world of ISP-volumes of traffic, sub-second predictions, and TBs of live, real-world data. Use cutting-edge analysis, ML, engineering, or just plain hacker-like thinking to out-perform the market.
A Data-Science startup, leveraging data analysis, ML, engineering, and multi-disciplinary thinking to gain a market edge and exploit hidden opportunities in real-time advertising. Processing over 1,000,000 requests per second and serving over 20B sub-second predictions daily, we build and operate Machine Learning algorithms running on the worlds largest Real-time-bidding (RTB) Ad-Exchanges.
Join the Data Battle Against Ad Fraud
Dive into the fast-paced, high-stakes world of real-time advertising, where fraudsters are constantly inventing new ways to game the systemand were here to stop them. This isnt about catching yesterdays fraud. Its about building systems that predict, detect, and outsmart malicious behavior as it happens, across billions of data points and signals.
At our company, fraud isnt just a problemits a puzzle. Were looking for a sharp, curious, and experienced Senior Fraud Data Analyst to take a leading role in uncovering abuse, analyzing behavioral anomalies, and developing data-driven strategies to stay one step ahead. If you love connecting the dots in messy data, challenging assumptions, and working with others to build smarter defensesthis role is for you.
What Youll Do
Analyze & Interpret Data: Use SQL and Python to query large datasets, detect anomalies, conduct root cause analysis, and uncover fraud patterns while also providing prescriptive insights to optimize business performance.
Drive Business Insights: Identify trends in ad performance, diagnose inefficiencies, and provide data-driven recommendations that impact KPIs and company strategy.
Combat Fraud in Real Time: Identify fraudulent trends, investigate suspicious traffic patterns, and take action to mitigate risk.
Develop & Improve Detection Models: Work with data engineers and data scientists to refine fraud detection and optimize real-time prevention strategies.
Collaborate Across Teams: Partner with business stakeholders to strengthen fraud defenses across our platforms.
Stay Ahead of Fraudsters: Keep up with evolving fraud tactics and propose proactive solutions to prevent emerging threats.

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? Here 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. Our 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:
Our 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 RevOps Analyst who is proactive, curious, entrepreneurial, and passionate about driving sustainable revenue growth. You will have a direct impact on aligning the companys revenue teams, and become a partner in optimizing the entire B2B revenue engine. You will collaborate closely with C -level, using your analytical skills and business understanding to uncover inefficiencies and opportunities that accelerate growth across the customer lifecycle.
* Proactively identify cross-functional growth and optimization opportunities that Sales, and CSM teams can quickly act upon.
* Lead projects such as pricing optimization, activation funnel analysis, go-to-market strategy, and deriving insights from our current customer base.
* Define and track input and output metrics across the revenue organization to measure performance and drive accountability.
* Build scalable data products and processes that support B2B revenue operations from the ground up.
 
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, this is 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 seeking a Senior Data Analyst to join our team and take a leading role in shaping the future of our data science. We need your CTO-grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.

Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, youll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people.

The Data Science Team Leader at Product will report to the VP Product.

What Youll Do:
Be a Prisma Photonics technology expert understand the ins and outs of how our products work.
Understand the physics underlying each product feature, devise the method by which the feature operates, and work with R&D to build, improve and deploy it.
Create our Data Product offering build a set of reports and recommendations to customers, exposing the value of the underlying technology.
Analyze customer data and field deployments to identify edge cases, improve models, and drive continuous product improvement. Bridge the gaps ad-hoc to bring immediate customer value, using AI and data analytics skills, as well as collaborating with R&D, Product, and AI teams.
Implement algorithmic solutions to solve urgent issues, with a clear path toward production deployment.
Once the business need arises and team expansion begins, take an active role in hiring, mentoring, and leading a team of data scientists and analysts.

Were looking for a Data Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change our trajectory.
What you will be doing:
You will have the chance to work with multiple teams (Marketing, Product, Sales, etc.) doing the following:
Analyze customer and user behavior and inform the teams in order to influence strategy and trajectory.
Collaborate with the team, define KPIs and measure the impact of their teams on our performance.
Design, execute, and analyze A/B tests to measure the impact of 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 user journey optimization.

We are looking for a Product Data Analyst specialist to join our growing Product Data Analyst team. This role is a unique opportunity for someone passionate about data to gain hands-on experience in a product-centric, data-driven environment.

Youll work closely with product managers, analysts, and engineers to help shape the way we measure, understand, and improve our products. This is an ideal position for someone at the beginning of their data career whos eager to learn, take ownership, and make an impact.

Responsibilities:
Detection Engine Ownership: Own and optimize key parts of CHEQs detection engine and database using analytical tools and best practices.
Cross-Departmental Collaboration: Work with Product, Engineering, Sales, Customer Success, and Security to deliver actionable data insights.
Product Support & Prototyping: Support product decisions through data exploration, insights, and prototypes for new features or tools.
Insight Discovery & Innovation: Analyze traffic and product data to identify trends, anomalies, and new product opportunities.
Internal Enablement Tools: Create internal services and dashboards to support field teams before features are fully productized.
Ad Hoc Analysis & QA: Investigate client issues, bugs, and QA concerns through on-demand analysis and validation.
Data Storytelling: Present insights clearly via dashboards, reports, and visualizations for diverse audiences.

As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful.
youll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma.
Unlike most publicly traded companies, were nimble and efficient. We take pride in the fact that we still think and operate like a startup. We dont care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo.
Were built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We dont like spending our days in meetings and we skip committees altogether. theres no such thing as going over someones head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities.
As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more.
What youre applying for
Were looking for a senior and strategic leader to join our Product Analytics team. Our ideal candidate is an expert in product analytics, is passionate about championing a data-driven approach to fuel product innovations, while being able to inspire, challenge, and grow top-tier talent.
You will manage a group of high-performance data analysts, responsible for defining and executing Product orgs data strategy as we build an AI-ready analytics stack.
In this role youll
Partner with senior Product leadership to develop and execute a forward-looking product data analytics vision and strategy
Lead and mentor a talented team of managers and data analysts, fostering craftsmanship and career growth
Stay up-to-date with emerging trends and best practices in product analytics, creating an AI-ready analytics stack
Manage and improve processes to balance between long-term, high-effort strategic projects and short-term, quick wins
Collaborate with other Analytics teams, Data Platform, and R&D to drive complex, cross-functional data projects

You are looking for a job that will truly engage you. You have an entrepreneurial spirit and can make things happen in a fast-paced startup environment. You want to grow and be challenged, but above all you want to work towards a mission, and for your work to have meaning.
Were - a fast-growing legal tech startup with an open, action-based culture unlike any other. We are committed to pursuing our vision of "frictionless justice," using advanced Machine Learning & AI to revolutionize the justice system.
Our mission is about justice at scale: imagine walking into work every day knowing that youre not only advancing your career, but making a positive impact on the world. our company has more than 130 team members in Tel Aviv and New York, and is backed by world class investors: Georgian, F2 Venture Capital, Entree Capital, NFX and YCombinator.
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 in search of a detail-oriented and analytical Senior Business Analyst to join our growth team. The successful candidate will have a minimum of 5 years of dedicated experience in data analysis, a self-learner with a strong drive to excel, and a proven track record of turning data into actionable insights.
What You'll Do:
Work closely with the various teams to provide insights and analytics to support business decision making
Design, build and monitor funnels and AB tests at scale to optimize performance
Analyze data to identify trends/insights that may influence the product decisions
Support and advise the business with ad-hoc analytics, as well as apply statistical techniques to create insights and discover new business opportunities
Enable and support the business regarding the development and use of data analysis and reporting by building reporting-grade data sources in our BI environment and translating those data sources into meaningful dashboards and reports for easy business use
Provide business expertise and guidance (consultative partnership) on how to apply leverage data analytics and reporting within the organizations
Conduct research on the data to address some of the business questions
Create and deliver documentation and training on reporting and BI tools for business users to enable self-service on company data.

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on our company Connect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
Come work with intensely curious people dedicated to innovation, growth, and protecting customers against cybercrime and fraud!
Were seeking a hands-on, passionate BI Team Lead to join our fast-paced, data-driven environment. We'd love to meet you if youre excited about shaping how a company interacts with data and building impactful dashboards that drive decisions.
Description
Lead, grow, and mentor a team of BI engineers and platform specialists, driving a culture of high performance, collaboration, and continuous improvement.
Take full ownership of the data warehouse and BI layer, ensuring the data infrastructure is reliable, scalable, and supports all downstream use cases.
Solving problems and creating ETL pipelines using Python.
Model and maintain the data warehouse, including dimensional models and semantic layers that serve analysts and BI users across the company.
Act as the focal point for all dashboard creation efforts, collaborating with cross-functional teams (product, analytics, management and business stakeholders) to define and implement data visualization solutions.
Administer and manage the infrastructure of our BI tools (such as Looker, Tableau, Power BI, etc.), including user management, permissions, performance optimization, and integrations.