דרושים » תוכנה » Chargeback Analyst

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of our core functions.

This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.

You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.

If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.

What You'll Do

Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.

Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.

Design and evolve our data models, creating a unified language across data coming from multiple integrations and systems.

Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.

Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.

Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.

Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.

Help define the foundations of our data function by evaluating tools, methodologies, and best practices that will scale with the company.

Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.

Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.

we are looking for a Financial Solutions & Business Analyst.
As a Financial Product Analyst, youll work at the intersection of Product, AI, Data, and Customer Success.
Youll become an expert in AI platform and help ensure customers receive accurate, scalable, and high-quality solutions.
This role combines financial reasoning, product understanding, analytical thinking, and technical curiosity. Youll evaluate AI-generated outputs, validate product behaviour, investigate customer use cases, identify product improvements, and collaborate closely with Product and Engineering to enhance the platform.
If you enjoy solving business problems, working with data, understanding complex products, and influencing product decisions, this role is for you.
What Youll Do
Become an expert in AI platform and customer workflows.
Evaluate AI-generated outputs and validate the quality and accuracy of product results.
Perform functional product testing across real customer scenarios.
Analyse financial, operational, and product data to identify trends, issues, and opportunities.
Investigate customer questions and complex business cases.
Design scalable product solutions for enterprise customers.
Work closely with Product and Engineering to recommend product improvements based on customer feedback and data.
Support customer onboarding and validate product configurations.
Identify product gaps, edge cases, and workflow improvements.
Translate complex business requirements into clear product recommendations.
Continuously improve product quality and customer experience.

We're looking for Product Data Analyst to own the numbers behind Ace and play a central role in shaping product decisions. Youll work closely with Product, Engineering, Growth, and company leadership to understand how people use Ace
Youll own the analytical process end to end: identifying the right questions, defining metrics, designing experiments, working directly with product data, interpreting results, and translating findings into clear product decisions.
We move fast, experiment constantly, and expect analysts to be hands-on, curious, technically strong, and comfortable challenging assumptions.
What You'll Do:
Own the consumer funnel end to end. Analyze acquisition, install, onboarding, activation, engagement, retention, and monetization across desktop and mobile. Identify where users drop, understand why, quantify the opportunity, and turn insights into concrete product opportunities.
Run the experimentation engine. Own experiments end to end - identify whats worth testing, define the right metrics and methodology, analyze the results, and translate learnings into clear product decisions.
Go deep into the data. Work directly with large-scale behavioral data to investigate questions, uncover patterns, diagnose problems, and find opportunities that arent obvious from a dashboard.
Shape how we measure the product. Define the metrics that matter, make sure were measuring new features correctly, and create a trusted analytical foundation for understanding product performance.
Be a strategic product partner. Work closely with Product and leadership to frame important questions, challenge assumptions, and bring a strong data-driven perspective to product strategy and prioritization.
Use AI to work differently. Use modern AI tools as part of your daily workflow to explore faster, investigate deeper, automate repetitive work, and build lightweight solutions when needed.
Make the organization faster with data. Build frameworks and self-service capabilities that help teams answer common questions independently, so your time stays focused on the highest-impact problems.

We are looking for a proactive and analytical FP&A Analyst to join our Finance team and take a key role in supporting business planning, budgeting, forecasting, and financial analysis.

Key Responsibilities
Lead and support the companys budgeting, forecasting, and financial planning processes.
Build and maintain financial models, forecasts, and management reports to support business decisions.
Analyze actuals vs. budget/forecast, identify variances and trends, and provide actionable insights to management.
Prepare and present recurring financial reports and business performance analysis for management.
Work closely with Finance and cross-functional teams to understand business drivers, costs, and financial performance.
Support department-level budgeting and ongoing monitoring of expenses and headcount.
Develop and maintain financial dashboards and KPIs, providing visibility into business performance.
Support cash flow planning and financial modeling, including scenario analysis and long-term planning.
Take part in month-end closing processes and ensure financial data is accurate and aligned with business activity.
Identify opportunities for process improvements, automation, and increased efficiency across financial planning and reporting.

realize your potential by joining the leading performance-driven advertising company and a proud duns 100 best high-tech companies to work for in israel!
as a Product Analyst on the product analytics team in our tel-aviv office, youll play a vital role in shaping Product Strategy through data and accelerating decision-making with ai-powered analytics.
youll partner closely with product managers to uncover opportunities, define success metrics, and transform complex data into actionable insights. by combining deep analytical expertise with modern ai tools, youll help build smarter products, and raise the bar for how analysis itself gets done, making it faster, more scalable, and more trustworthy across the organization.
how youll make an impact:
partner with pms and r&d to drive product decisions, identify opportunities for product improvement, and build products that contribute to company goals.
research and analyze large, rich datasets to generate useful conclusions, and translate them into clear, actionable narratives for pms, engineering, and cross-functional partners.
design and analyze a/b tests to evaluate and optimize product performance and understand user behavior.
develop data models, dashboards, and ai tools, skills, and agents that automate analysis and accelerate the teams work, using ai to explore faster, generate and TEST hypotheses, and solve challenges the team hasnt faced before.
democratize data by creating smart self-serve tools and interfaces that empower pms, r&d, and other partners to pull data and run basic analyses independently, and shape the standards that keep those answers reliable.
own and manage multiple data initiatives, both ongoing and ad-hoc, and become the focal point for data matters in your domain.
why the company?
if you ask taboolars what they love about working here, theyll tell you that theyve been empowered to realize their full potential while growing and learning from and with smart and talented people. theyll also share more about:
adam singolda, the company founder and ceo says: you can copy anything from another business but you cant copy a companys culture.
well-being: enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking)
flexibility: we offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
work with some of the biggest names: our publisher partners include yahoo, conde nast, fox sports, nbcu, espn, cbs, and e! online. our advertiser clients include wells fargo, honda, pinterest, and expedia.
ready to realize your potential?
the company is an equal opportunity employer and we value diversity in all forms. we are committed to creating an inclusive environment for all employees and

The Analyst, Trading Operations, Digital Assets serves as a first-line support specialist for the Groups affiliated Digital Asset ATS (pending regulatory approvals) and Global OTC ATS. In this operationally critical role, the analyst monitors trading activity, identifies and escalates issues, and partners with cross-functional teams to ensure uninterrupted trading operations across both platforms. The role requires a motivated self-starter comfortable with non-traditional hours, blockchain-based trade infrastructure, and the evolving regulatory landscape for digital asset securities.

Responsibilities
Daily operations and support
Provide real-time trading operational support for NYSE Groups affiliated Digital ATS and Global OTC ATS.
Monitor trading activity, system performance, and order flow across both platforms
Execute daily checkout procedures and maintain accurate electronic logs of trading issues, disputes, and resolutions.
Assist participant firms with inquiries related to order types, trading functionality, and settlement status.
Support bust/cancel determinations, clearly erroneous execution (CEE) reviews, and error account escalations in coordination with compliance and legal teams.
Shift coverage
Coverage aligned with NYSE Groups affiliated Digital Asset ATS's extended trading hours. Specific schedule, including holiday coverage, to be confirmed based on team rotation.
Collaboration and communication
Partner with Technology, Product Management, and Compliance to onboard participants and resolve technical or operational issues.
Coordinate with compliance and outside counsel on regulatory matters, including trade reporting and ATS obligations.
Escalate production issues to System Operations and Engineering, with clear and timely communication to internal stakeholders.
Disseminate platform status updates and operational notices in a timely manner.
Support process documentation, post-incident reviews, and continuous operational improvement initiatives.
Develop deep working knowledge of NYSE Groups affiliated Digital Asset ATS platform architecture, Global OTC ATS workflows, and relevant FINRA/SEC regulatory requirements.

We are seeking a highly motivated and customer-facing Solutions Consultant/Sales Engineer to support our growth across the EMEA region. This role will partner closely with Sales, Product, and Customer Success teams to drive technical discovery, solution design, technical scoping, and business value for enterprise merchants in the payments and fraud prevention space. A core part of the role is analytical: turning merchant data into clear, visual, data-driven stories that show our impact to top merchants. The ideal candidate has deep knowledge of ecommerce, payments, fraud/risk management, and can effectively communicate technical concepts and data insights in English.
What You'll Doing:
Partner with Account Executives to support the full sales cycle from discovery through close and internal technical handover to implementation teams.
Lead technical discovery sessions to understand client payment flows, fraud challenges, and business KPIs
Analyze merchant transaction, fraud, and chargeback data to uncover insights, quantify business impact, and build ROI cases
Build dashboards and visualizations in BI tools such as Looker and Tableau, and turn them into a compelling data story presented to top merchants and senior stakeholders
Design and present tailored solutions, including

a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements.
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.
Actively take part in building and maintaining our AI Driven-BI Agentic Architecture.
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 a leading direct-to-consumer platform for app publishers.
we help publishers sell digital goods directly to their users - bypassing traditional app store commissions and owning the full payment and commerce experience.
the result: higher margins, better flexibility, and a more direct relationship with end users.
backed by $89m from leading investors and operators, weve grown 14x in the past year and now process over a billion dollars annually.
were building the infrastructure that lets modern app businesses take back control of monetization - at scale.
responsibilities:
own and define key product, business, and customer kpis across the company
analyze usage, funnels, monetization, and customer behavior to identify growth opportunities and friction points
build and maintain dashboards and reports that give teams clear, reliable visibility into performance
partner with product and business to evaluate new features, initiatives, and experiments, and measure their impact
drive customer value by delivering external-facing data solutions, actionable insights, and industry benchmarks to empower data -informed decision-making.
work closely with engineering and data stakeholders to improve data quality, structure, and accessibility
help foster a data -driven culture by making insights understandable and actionable for non-technical stakeholders.

at the company, we are revolutionizing the way businesses interact with the digital world by revealing to them everything that happens online.
our unique data and solutions empower thousands of customers globally, including industry giants like google, ebay, and adidas, to make game-changing decisions that drive their digital strategies.
in 2021, we went public on the new york stock exchange, and we continue to reach new heights! come work alongside our teammates across the globe who are bright, curious, practical, and good people.
were looking for a data analyst to join our r&d department!
why is this role so important at the company?
our retail intelligence products help leading brands and retailers understand how their products, brands and categories perform online. behind them is data collected from retailers and marketplaces around the world, each describing products in its own way. we use llms and ml models to classify, normalize and structure that data into a single, trusted view.
as a data analyst on the team, youll be the person who knows this data best. youll own its quality: defining what correct looks like, building the ground truth our models are measured against, and finding where things break and why. youll work closely with the engineers and scientists who build our llm and ml pipelines, and with product, turning what you find into clear priorities. your work will also directly support our customers: partnering with our customer-facing teams on deep-dive analyses, and investigating and fixing the data gaps that matter most to clients.
its a role for someone curious and hands-on, who enjoys digging into data, uses ai tools to move faster, and wants to see their analysis directly shape the product.
so, what will you be doing all day?
your daily responsibilities may include:
analyzing product, brand and category data to find gaps, errors and opportunities to improve coverage and accuracy
defining quality metrics and building the dashboards and checks that track them over time
building and maintaining ground-truth datasets and labeling guidelines, and running labeling processes
evaluating the output of llm and ml models: error analysis, comparing approaches, and turning findings into concrete improvements
using llms and ai tools to speed up analysis, labeling and data review
helping define and maintain taxonomies and classification rules together with product
supporting client-related needs with our customer-facing teams, from in-depth analyses of specific market segments to investigating and fixing data gaps raised by clients
validating new data sources before they are added to the product
partnering with product and engineering to translate findings into requirements and priorities