לוח משרות דרושים Data Analyst במרכז

our company- Crafting Tomorrow's Retail Experience
We started with a simple question: How can vision AI make shopping better for everyone? Today, our team of passionate experts is transforming how people shop and how retailers operate - one store at a time.
Our goal is to solve real retail challenges by developing advanced computer vision AI that prevents loss, enables grab-and-go shopping, and turns store data into valuable insights - all while delivering clear value from day one.
With multiple deployments in stores globally, deep partnerships with top-tier retailers, and a product suite thats proving its impact every day, our company is not just imagining the future of retail - were building it.
At our company, were building the in-store operating system of the future - powered by AI and real-world data. With dozens of autonomous store and Loss Prevention deployments (and hundreds more coming), we are generating a massive volume of operational data. Now its time to turn that data into strategic value - for our team and our customers.
To ensure our live deployments deliver maximum impact, were looking for a hands-on, insights-driven Senior Data Analyst to lead performance tracking and optimization for our product and customers.
As Senior Data Analyst, youll be responsible for analyzing production data to monitor store performance, improve current operations, and provide insights that shape our companys future roadmap. Youll also structure and manage how operational data is collected, aggregated, and analyzed, ensuring it delivers actionable value across teams.
This role sits within the Customer Performance team - our group responsible for ensuring our deployments perform at their best and deliver measurable value. Youll collaborate closely with Operations, Product, R&D, Customer Success, and our retail partners.
A day in the life
Analyze production data from live stores to assess system performance and customer behavior.
Track and report on agreed KPIs with retail partners, ensuring we deliver against operational commitments.
Manage and structure operational data - defining what is included in analysis and how it is aggregated.
Collaborate with Data Engineering to analyze, maintain, and improve ETL workflows and data pipelines, ensuring data is accurate, timely, and accessible for analysis.
Build dashboards to surface insights internally and for retailer-facing teams.
Provide insights that inform both current operational improvements and our companys product roadmap.
Liaise with cross-functional teams (Operations, Product, R&D, Customer Success) to proactively suggest system enhancements.
Communicate complex KPIs, concepts, and insights in a clear, structured, and compelling way, tailored to technical and non-technical audiences.

As a Construction Analyst , you will play a key role in building and scaling Buildots Mega Projects lead engine, turning market signals into a structured, Sales-ready pipeline.
In this role, you will research and validate large-scale construction, identify key stakeholders (Developer/Owner, General Contractor), and ensure every lead is complete and actionable .
Giving Sales and leadership the visibility they need to make fast, data-driven decisions.
You will also continuously expand our coverage by discovering, testing, and validating new data sources , helping us stay ahead of the market and spot opportunities early.
Responsibilities:
Conduct hands-on market research to identify new Mega Projects
Validate and enrich lead information to meet the Sales-ready standard
Maintain high-quality CRM data by creating and updating leads in Salesforce
Proactively detect data gaps and lead quality issues through ongoing quality checks, and initiate improvements to sourcing and validation methods.
Discover, test, and evaluate new reliable data sources to expand market coverage.

We are looking for a Data Analyst to join our team.

The Data Analyst must have the ability to strategize, analyze and interpret business data to identify key insights and provide recommendations.

The successful candidate should have a proven track record of success in the field of business analytics.

Responsibilities:
You will work with various internal & external datasets to extract insights and deliver actionable recommendations.
You will use your set of analytical skills, data mining techniques and statistical tools to identify trends, opportunities and threats that will support our growth.
You will communicate your findings to management and work closely with business leaders.
You will Design, execute and monitor ETL flows via SQL (dbt is our data tool).
You will Visualize data with dashboards to address key questions for the companys in-house teams like Sales, Marketing, CSM, Growth, and more.

The product analytics team delivers valuable insights for data-driven decision for a mobile app that serves Millions of customers.

This application incorporates digital features related to Purchasing, Account Management, Billing and Payment and Support.

Our team oversees numerous business KPIs and employs cutting-edge tools and strategies.

We take responsibility for the entire process, from Event definition and data engineering (including some ML) to visualization tools.

Responsibilities:
Product-analysis activity for an application that serve millions of users.
Analyze and explore through large complex data sets representing key business drivers, trends and operational metrics.
Collaborate with data engineers to aggregate and clean large data sets in use.
Conceptualize, create, automate and maintain dashboards for tracking key metrics and experiments.
Proactively provide meaningful insights and actionable recommendations that drive decision, including using advanced modeling and machine learning (ML) techniques to analyze complex data and gain insights.

About the position
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 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 seeking a highly motivated and impact-driven Business Strategy Analyst to join our team. In this role, you will transform data into actionable insights, drive strategic decisions, and contribute to the optimization of our products and client success.
What you'll be doing:
Monitor product performance for various clients by building dashboards and deeply understanding data points to identify trends, challenges, and opportunities.
Collaborate with cross-functional teams to define and implement growth strategies and product improvements.
Analyze A/B tests to directly influence product strategy, user experience, and revenue growth.
Present data-driven insights, patterns, and trends to internal teams, partners, and clients, fostering informed decision-making and alignment.

We are seeking a talented Data Analyst with strong full-stack development skills, particularly in SQL, Node.js, and React. The ideal candidate will have at least 5 years of experience in data analysis and a solid understanding of web development, enabling them to bridge the gap between data insights and application development.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us means influencing hundreds of millions of users and shaping the journey toward becoming a true super-app. Our mission is to make people’s lives easier by enabling meaningful connections — from special moments with friends and family, to building businesses and pursuing passions. We’re looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. You’ll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact. If you’re passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; we’d love to hear from you!

Responsibilities:

* Identify opportunities for improvement through data analysis aligned with company strategy.
* Partner cross-functionally to translate data findings into actionable product and business decisions.
* Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.
* Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.
* Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.
* Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

Advantages:

* Background in statistics, causal inference, or experimentation frameworks.?
* Experience mentoring analysts or leading analytical projects.?
* A deep interest in social, communication, or engagement-driven apps.

Were looking for a talented individual with a pioneering spirit to join the Core Product Analysts Team.
This team plays a central role in shaping the direction of our most essential product offerings, by providing deep analytical insights and supporting data-informed decision-making across the companys core solutions.

The ideal candidate is highly technical, data-driven, and experienced in working with large-scale data platforms. As part of this team, you will be responsible for analyzing product usage and performance, identifying opportunities for innovation and optimization, and ensuring the accuracy and reliability of data across our core products. You will work closely with product managers, engineers, and cross-functional business stakeholders to deliver actionable insights and drive continuous product improvement.

What youll do:
Analyze large-scale datasets to identify trends, inefficiencies, and opportunities across our core products.
Develop and execute ongoing analyses to generate insights that support product strategy, design, and development decisions.
Create and maintain dashboards, monitoring tools, and ETL processes to enhance visibility into product performance and user behavior.
Propose, lead, and implement data-driven initiatives that improve product functionality, user experience, and overall business impact.

We are seeking a highly skilled and detail-oriented Data Analyst / BI Developer to lead the maintenance, enhancement, and optimization of existing data reports used across our trading operations. This role is critical to ensuring our data infrastructure supports decision-making at scale - with reliability, performance, and accuracy.
You will work closely with trading stakeholders, data engineers, and other analysts to maintain business-critical dashboards and reporting pipelines, improve performance, and incorporate evolving business logic.
What will you be doing?
Maintain and troubleshoot existing reports and dashboards (e.g., Tableau, Power BI, Looker, or internal tools).
Optimize SQL queries and backend data transformations for performance and scalability.
Audit data pipelines to ensure consistency and reliability across time.
Collaborate with trading and product teams to gather evolving business needs and translate them into reporting logic.
Implement automation and documentation for report lifecycle management.
Monitor data anomalies and work proactively to resolve data issues.
Support version control and change management processes for reports.