We need a Data Analyst to help us analyze the millions of data points generated daily. Your insights will drive smarter decisions, optimize product performance, and enhance device identification.
This isn't just another data job-it's your opportunity to innovate, collaborate, and make a significant impact in seamless networking.
What Youll Be Doing:
Analyze large, complex data sets of millions of connected devices to address data plan needs for growth, user behaviors, and business questions.
Produce customer reports on product performance, trends, and new features added.
Engage with different teams within the organization, work in collaborative teamwork, and contribute to innovative ideation.
Increase device identification coverage by using automation techniques and out-of-the-box thinking.

One of the fastest-growing global D2C startups with a self-built e-commerce platform that allows us to leverage data and optimize marketing funnels to bring clinically tested body care products to women worldwide. With years of rapid growth and millions of customers worldwide. We are on track to become one of the biggest body care brands in the world. The company has built a strong tech backbone to leverage its data, collected over the span of dozens of million of $ in online advertising spend. The data analysis and predictive modeling guide the companys decision making and play a central role in its success, creating a unique competitive edge over the industry and other e-commerce players. We are a team of people who want to make lasting, impactful changes, who live (and love) to see results, who innovate with passion, and who love a good sense of humor. Is our vibe your vibe? We are currently looking for a logical and independent data Engineer to join its exceptional data Engineering Team. This cross-functional role works closely with analysts and the R&D team to support cross-departmental operations. The ideal candidate understands exactly how data structuring impacts macro-business decisions and can easily translate between technical and practical terms.
Your life will look like
* Create and structure end-to-end data pipelines and ETLs, ensuring analysts have the exact data they need to make smart, data -driven business decisions.
* Build scalable multi-step processes that integrate over 50 data sources, including Marketing, Operations, CS, Product, and CRM.
* Connect and leverage AI tools to build active business tools that drive critical company decisions.
* Proactively address data weaknesses while managing high-standard monitoring and reliability processes.

Required Fraud Analyst
Israel - Tel Aviv
About the role:
As a Fraud Analyst, you will be responsible for one of the most critical assets in the company: maintaining the accuracy, reliability, and performance of what is widely considered the leading e-commerce fraud decisioning system in the industry.
You will be expected to think analytically and creatively, constantly improving how we identify fraud and protect legitimate customers. Your work will focus on solving real and evolving business challenges faced by some of the worlds largest and most advanced online retailers. In this role, you will also have direct exposure to key customers, providing analytical insights and helping tailor solutions to their specific needs.
This position has strong technical and analytical depth, but prior coding experience is not required. We believe great analysts can learn the technical tools they need as part of the role through structured training and hands-on work. We hire across multiple levels and adjust the scope and level of ownership based on what we learn during the interview process.
You will join a dynamic, high bar department with a strong culture of excellence, curiosity, and ownership. We work in an informal and collaborative environment where people learn fast and ideas matter. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial roles, allowing you to shape your career based on your strengths.
Your work will directly impact our product, protect millions of customers, and help shape the future of trust in digital commerce.
What you'll be doing:
Design, implement, and continuously improve decisioning logic running in live production systems
Research complex fraud patterns, adversarial behaviors, and emerging threats
Analyze large scale datasets to extract actionable insights and improve decision accuracy
Develop and automate analytical processes to increase efficiency and scalability
Work closely with Data Science, Engineering, and other cross functional teams to drive platform improvements

we are looking for a Business Data Analyst.
Responsibilities:
Plan, organize, facilitate, and lead reviews of business requirements with users and developers to ensure accuracy, completeness, and mutual understanding.
Collaborate with vendors to design, develop, and implement Automation solutions using RPA tools such as Automation Anywhere, SQLs, Python and VBA.
Utilize expertise in programming languages such as SQL and Python to perform data analysis and recommend various solutions to improve data accuracy, timeliness, and completeness.
Create data visualizations utilizing tools such as Tableau\Power BI to present and recommend alternative solutions as well as drive data-driven decision-making.
Conduct feasibility studies to determine the technical and economic feasibility of the proposed solution.
Understand and document well-organized, detailed, and concise business requirements by converting the results of data from interviews and conducting own analysis.
Identify opportunities in current processes, conduct GAP analysis to quantify issues, and recommend alternative solutions that will optimize process and/or improve the completeness, timeliness, and quality of the data set.
Coordinate and collaborate effectively with the project team, including but not limited to end-users, product management, evaluations, index, portfolio analytics, quality assurance, project management, and development teams to mitigate and assess project risks, eliminate ambiguities, and meet project deadlines.
Examine current business functions and system capabilities. Identify trends and causations of inaccurate and/or incomplete data sets by conducting in-depth root cause analysis.
Determine efficiencies, accuracy, timeliness, completeness gained from recommended solutions.
Monitor project progress by tracking activity, resolving problems, and publishing progress reports. Prepare production release notes and organize review sessions with RDO and DSG groups to ensure a full understanding of release scope.
Apply problem-solving skills to create innovative workflow resulting in increased productivity.
Write complete and concise test scripts for user acceptance testing. Plan, coordinate, and execute created test cases.
Identify any potential data gaps resulting from the creation of new fields and/or rules. Work with related groups to confirm completion of data backfills required after a production release.
Coordinate closely with the RDO training team to ensure all training documentation is adjusted, and all training sessions are completed before the release rollout.
Mentor junior team members on Automation tools and best practices.
Create working relationships with Data Vendors to understand content and escalate issues.

We are looking for experienced, creative, and independent Data Analyst to join our growing and unique data team. You will be working with colleagues from various departments such as Product, Technical Product, Operations, R&D, Research and Customer Success. Besides KPIs measurements and internal data processing, you will take a main part in the data product development, creating insights and defining measures and visualizations which are being consumed by our customers on a daily basis.
You will be part of a team which makes an impact across the whole company.
What you'll do:
Analyze large and complex datasets, in the fascinating domain of construction AI, and have a central impact on our business decisions.
Work closely with stakeholders across the company, be proactive and provide relevant and actionable recommendations.
Use your deep understanding of the domain and customers' needs to create and maintain data visualizations and analysis for our clients to maximize our product impact on their business goals.
Collaborate with product and operational teams to develop and test new features and logical heuristics to enhance internal processes.
Work in cooperation with R&D, define data structures and ETLs to maximize the impact on our company's KPIs.

We are looking for a Data Analyst with strong Python and engineering capabilities to join our Data team.

This is not a traditional analytics role - it combines data analysis with hands-on development. You will work extensively with Python as part of your day-to-day work, building scalable data processes, evaluation frameworks, and classification logic that directly impacts our product.

Our team works on large-scale data systems, leveraging ML capabilities such as NER and LLMs, alongside robust engineering and analytics to deliver insights across millions of files and tables daily.


Responsibilities
Design and implement data classification logic to expand coverage of sensitive data types, owning the process end-to-end - from research and analysis to production deployment
Develop Python-based workflows and tools for data processing, evaluation, and automation
Build and maintain data pipelines and monitoring systems to track product performance and data quality
Create automated frameworks to evaluate and benchmark model performance
Collaborate closely with R&D and take part in discussions around AI/ML solutions and product direction

A part of the POC GROWING TEAM- This role will have a substantial impact on the company's future. It will involve managing the integration process with the data warehouses of some of the world's largest brands. This includes:

Mapping the different data sources to connect to (based on dozens of data sources Loops connects to).
Modelling the data in platform, based on the business context and the customers KPIs.
Building a deep understanding of Loops models and analyses to analyze them and debug problems.
Building and defining tools to automate and improve the integration process (scripts to automated data discovery, data pipeline, validation scripts, etc)
‍

‍

‍

Responsibilities
This is not a classic product analyst role:

Data is the underlying asset of our vision. You will directly impact the core value of the product, which is already used by major brands.
Youll be prioritizing and designing product features (not dashboards), yet you will also work closely with our customers to understand how data is leveraged to make decisions, learn which insights are valued, etc. This wide perspective will put you in a key position to shape the strategy of the growing product, and define its KPIs.
Model data within the platform based on business context and customer KPIs to deliver growth insights. This includes building and defining tools to automate and enhance the integration process, such as scripts for automated data discovery, data pipelines, and validation.
As part of the pre-sales department, you'll lead PoCs with top global companies. This diverse, fast-paced role offers exciting opportunities to work with various industries and make a significant impact. You play a key role in bridging customer needs to our solutions.
If youre interested, you will also have the opportunity of diving into the world of ML led by our excellent Data Science team, taking an active part in structuring the models which run behind our products engine.

AS a Senior Data Analyst to join our R&D team, you will be responsible for- shaping how we understand data, drive insights, and influence strategic decisions across the company. Youll work closely with teams across to uncover trends, identify opportunities, and help guide the direction of our business.
Your Chain of Impact:
Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Partner with cross-functional teams to understand business needs and design data-driven solutions.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.

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.

We are Looking for a production analyst to join our Technical Support team.
As a Production analyst in the Support team, you'll collaborate with the business team, R&D team, and BI team and dive into the heart of our platform, analyzing large data sets to address technical production incidents.
What you'll be doing
Conduct in-depth analysis of vast and intricate data sets, reflecting the behaviors of millions of users, to swiftly address technical production incidents.
Take charge of the resolution process for cases, collaborating seamlessly with internal teams, and maintaining transparent communication with stakeholders throughout.
Develop internal data tools for the Technical Support team to improve the investigation capabilities of the team.
Proactively contribute to internal documentation and promote knowledge sharing within the team.
Effectively manage and prioritize multiple customer issues across our range of products and platform.