לוח משרות דרושים Data Analyst בתל אביב יפו

We are looking for a Business Analyst to join our GTM team. Youll play a pivotal role in empowering our Go-to-Market teams with data-driven insights that fuel growth, efficiency, and innovation.
Our Technologies: SQL, Tableau, DBT, G-Sheet, Salesforce.
Youll be:
Defining KPIs and measuring them for the GTM different groups (Marketing, Sales, and Partners) to track performance and drive strategic initiatives
Building reports, dashboards, and metrics to deliver actionable insights
Serving as an analytics focal point, working closely with a wide range of cross-functional teams
Identifying and automating manual or repetitive processes to improve accuracy, efficiency, and scalability across analytics workflows

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.

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)
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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 Data Analyst, you will be part of the maritime intelligence R&D research team, driving technological excellence in our mission of safeguarding the naval domain and securing global trade with AI technology.

You will immerse yourself in the fascinating maritime world and complex multi-modal datasets, conducting research and analysis using Python. Your insights will drive strategic decisions and shape the future of our products.

What will you do?

Analyze diverse datasets to uncover actionable trends, patterns, and anomalies that drive our intelligence capabilities
Utilize GenAI models for advanced data analysis and as productivity tools
Ensure the quality and integrity of core intelligence data
Write Python code to query diverse sources (Postgres, Mongo, S3), conduct deep analysis, and build heuristic models and detection algorithms
Become a domain expert to interpret data accurately in naval and maritime contexts
Design clear visualizations to communicate insights to a diverse audience
Work with a team of domain and technical experts to solve complex challenges
Join the Data Analysts technical guild to help grow data community

We are seeking a highly motivated and experienced Senior Product Analyst to join our team. This position is part of our Voice Group, reporting to the Data Team Lead. You'll be the analytical backbone of the team, working side-by-side with PMs and engineers to find what's working, what can be improved, and what to build next.

We are looking for someone with a relentless curiosity for both user behavior and AI/ML mechanics; someone who understands how models function and possesses a natural drive to dig into data anomalies until they make sense. Your work will directly shape how our voice agents perform, from surfacing patterns in conversation data to providing the inputs that improve our models.

Responsibilities
Analyze conversational data at scale to uncover opportunities for improving resolution rates, success rates, conversation depth, and growth.
Partner closely with Voice PMs to translate data findings into product priorities and roadmap inputs.
Provide the analytical insights and requirements that drive model improvements while collaborating with ML and engineering teams to define and own end-to-end success metrics.
Build and maintain dashboards and metrics that give the Voice group a shared, reliable view of performance.
Design and analyze experiments and A/B tests to validate hypotheses about agent behavior, conversation flows, and user outcomes.
Develop a deep understanding of our conversational data, taking full ownership of the analytical infrastructure to ensure the highest standards of data integrity and becoming the primary storyteller for your domain.
Proactively investigate data anomalies or gaps to identify root causes and propose solutions without waiting for external direction.

We are looking for a native French speaker with a high level of proficiency in English to join our Annotation and Analysis team at the as a Data Annotator and Analyst.
In this role, you will work with large volumes of data in both French and English, annotating and analyzing datasets used to evaluate and train machine learning models, including large language models (LLMs). Your work will involve reviewing model outputs and preparing high-quality training data that supports the development and continuous improvement of AI-driven products. In addition, as part of the job, you will conduct complex analysis on the annotated data and provide insights to the other stakeholders.
This position is ideal for someone passionate about linguistics and data, and who enjoys working on detail-oriented tasks that directly impact model quality. As part of a collaborative, cross-functional team, you will work closely with Data Scientists and Product Managers to ensure that datasets are accurately labeled and annotation standards support the development of reliable machine learning systems.
Responsibilities :
Evaluate the quality of machine-translated text, with a focus on French language accuracy and fluency.
Annotate and assess AI model responses to support systematic evaluation and improvement of model performance.
Create high-quality annotated datasets used to train and evaluate LLMs and other NLP models.
Write and refine LLM prompts that support scalable human annotation workflows.
Collaborate with cross-functional teams, including Data Scientists and Product Managers, to communicate linguistic nuances and implications of French translations on model behavior and user experience.
Analyze annotated data and evaluation results to identify patterns, assess model quality, and surface insights for model improvement.

Join our company's growing Travel Product Strategy & Analysis team as an Analytics engineer focused on driving strategic product decisions through data-driven insights. You'll be at the center of product investment strategy, working directly with Product Managers, Engineering, Design, Leadership and Data Teams to harness data insights and empower teams to optimize our marketplace and user journey on our company Travel.
As a key member of our small, high-impact team, you'll own business understanding for our travel platforms and serve as the analytical backbone. You will focus on execution by delivering insights, building dashboards, track metrics, develop models and analyze results. This role combines deep data fundamentals and thorough analytical rigor with strategic product thinking to influence investment decisions.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity.

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.

This role combines a blend of skill sets including security operations & incident response, data analytics, risk management, software development, and threat research. If you enjoy researching cloud security issues and developing detection content as code, all in a fast-paced environment with broad collaboration across a diverse team, this role is for you.

What You'll Do:

As a member of the Falcon Cloud Security Detection Engineering team, you will be responsible for performing research into cloud threats, vulnerabilities, and abuses, to determine configuration best practices that can be used to secure cloud services and assets. You will also be responsible for developing and deploying detection rules as code into the FCS product ecosystem along with writing descriptions that customers will use to understand and action alerts generated by these rules.

While this role is being sourced in the EMEA global region, the core of the FCS Detection Engineering team is US-based. This role will honor a working day within local standard business hours for each team member, but will also require regular participation in team meetings and live collaboration with US-based staff. Candidates should expect a variable working window that may shift from starting at 9:00am to 10:00am and end at 6:00pm to 7:00pm.

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.

we are seeking an Ad Operations Analyst to drive data visibility and operational intelligence across our Supply organization. In this role, you will bridge the gap between raw programmatic logs and actionable business intelligence, helping ensure operational stability and performance across multiple integrations.
You will analyze high-volume programmatic traffic and large-scale advertising datasets, working at the intersection of operations, analytics, and product, collaborating closely with Supply Operations, Product, Data Engineering, and Business teams. This is a high-impact role where your insights will help improve operational transparency, detect issues early, and support data-driven decision-making across the organization. The team actively leverages modern AI and automation tools to enhance analytics workflows, monitoring, and data exploration.
Responsibilities:
Own and develop supply monitoring frameworks and reporting dashboards used across the Supply organization to detect and resolve revenue-impacting issues
Aggregate and analyze data from multiple internal systems and external advertising platforms to support operational monitoring and analysis
Work with large-scale datasets across multiple advertising integrations, including SSPs, exchanges, and partner platforms
Identify trends, anomalies, and operational issues while generating actionable insights
Provide insights that influence operational decisions and supply optimization strategies
Investigate data discrepancies and operational issues by combining business logic, product understanding, and large-scale data analysis
Build and maintain automated data pipelines and API-based data collection processes
Develop dashboards and data visualizations that support operational monitoring and business decision-making using modern BI and AI-enabled tools
Collaborate closely with Data Engineering to improve data infrastructure and reporting reliability
Work with Product and business teams to visualize operational data and support strategic initiatives
Design smart alerts and monitoring systems, including anomaly detection capabilities, to proactively identify operational issues
Use automation and modern AI tools to improve analytical workflows and operational efficiency

Required Customer-Facing Data Analyst
An automated AI-based predictive analytics platform. It simplifies and accelerates the process of building and deploying machine learning models in various business use-cases, such as life-time value, Churn, demand forecast and more. We connect to the raw data and completely automates the data preparation, engineering and prepossessing phases, as well as the model training and evaluation lifecycle. It was acknowledged as one of Israels 50 most promising startups two years in a row
Company Highlights:
Series C company with over $117M raised to date. Tier-1 investors: Google Ventures (GV), Insight Partners, GGV, Dell Ventures, Mindset and S Capital.
50 employees
HQ in Tel Aviv with growing sales organization in the US
Customers across CPG, retail, healthcare, mobile apps, fintech, insurance, and consumer services. Marquee customers include Johnson & Johnson,, and SciPlay
Typical Tasks:
Guide and assist customers in utilizing the platform and implementing AI models.
-Help customers understand complex AI concepts, identify relevant use cases, and implement solutions to drive business value.
Address and resolve technical and data-related issues.
Provide valuable feedback to the product team and collaborate to enhance the product.
Analyze model outputs and explain complex ideas in a clear, understandable manner.
Serve as the primary data and technical contact for clients, understanding and addressing their needs.

A leading Israeli company specializing in SaaS-based software solutions for managing organizations Human Resources, is looking for a Systems Analyst to define and specify web and mobile systems, from planning to production.



Key Responsibilities:

Define web and mobile systems, create Detailed Design documents.
Understand business and technical requirements, coordinate with development and production teams.
Conduct testing, optimize web systems, and provide maintenance and support.

We are on the search for a Marketing Data Analyst who will join our Data team in Tel Aviv. As a Marketing Data Analyst in a Data-Driven company, you will have a significant opportunity for impact and drive the company to new heights. You will influence decision-making processes throughout marketing budget decisions, new user journeys, be a partner to cross-functional teams within data, marketing & Top of Funnel, and drive strategic business decisions that shape the direction of the company.

Here are a few of the things you will do:
Own end-to-end analytics for marketing and product growth initiatives, directly supporting business strategy and growth, including and not limited to acquisition, lifecycle, and user onboarding.
Act as the primary data owner for the planning, monitoring, and measuring a variety of marketing initiatives, ensuring accuracy, consistency, and trust in decision-making across stakeholders, enabling your stakeholders to learn from data and iterate with confidence.
Translate complex datasets from multiple sources into clear, actionable insights with measurable business impact.
Proactively initiate and perform ad hoc research and deep-dive analyses to surface unknown business opportunities to inform strategic and operational decisions.
Partner with marketing, product, finance and company leadership to drive cross-functional, data-driven outcomes.
Design, improve, and scale analytics infrastructure, data pipelines, and workflows to suit your analytics needs; work hands-on using tools such as SQL, DBT, Looker, and partner closely with Data Engineering and Data Science teams.
Design, execute, and evaluate A/B tests using rigorous statistical methods and well-defined KPIs, including ownership of appropriate KPI selection.
Present insights and recommendations to senior stakeholders with clarity and influence, through written communication, presentations, and via dashboards.
Contribute expertise to shared analytics standards, best practices, and knowledge forums (e.g., Data Guild).

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.