לוח משרות דרושים Data Analyst

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.

Required Business Analyst
Job Description
See beyond numbers and take part in informing, influencing, supporting and executing our business decisions
Be the data & analytics lead in various projects and work closely with different teams across the company
Work with very large amounts of data and build tools to streamline the process
Build and maintain reports, dashboards and metrics, in addition to monitoring the integrity and validity of the data reported
Plan, conduct and interpret the results of A/B tests in order to optimize existing and implement new product features
Conduct customer analysis-churn, behavior, segmentation, trends, customer value and more.

Were looking for Senior Product Data Analyst to join the tea Dynamic Yield and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique opportunity to influence the evolution of a leading experience-optimization platform, enabling some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.
Role
Collaborate with product managers to define, refine, and lead KPIs and success metrics aligned with product goals. Support planning, feature evaluation, and post-launch performance reviews to ensure data-driven, measurable product decisions
Analyze user behavior and product usage through quantitative methods to identify pain points, uncover trends, and measure feature adoption to inform product strategy and improvement
Develop and maintain dashboards and reports that provide product and business stakeholders with timely, actionable insights, ensuring key metrics are accessible and accurately reflect performance across product initiatives
Contribute to the development and upkeep of data models and support the maintenance of scalable, reliable ELT pipelines. Play a key role in shaping the underlying data infrastructure that drives analytics across product and business functions
Monitor KPIs and drive continuous efficiency improvements
R-265437

We are seeking a highly experienced Senior SAP OTC Analyst to take ownership of our global OTC processes, partner closely with business and operational leaders, and help prepare the foundation for our future SAP S/4HANA transformation.
This role is critical for supporting our global commercial operations, ensuring seamless order flows, and delivering best-in-class system solutions.
You will be responsible for the design, architecture, configuration, and support of SAP Order-to-Cash applications across multiple regions. You will collaborate with business teams, GPOs, solution architects, and cross-functional IT teams to deliver robust, scalable solutions aligned with global business needs.
You will support our current SAP ECC landscape while actively preparing our OTC processes for our future S/4HANA migration.
Key Responsibilities
Lead functional solution design for OTC processes in alignment with global business requirements.
Conduct requirement-gathering sessions with Business, Operations, and GPO stakeholders.
Evaluate solution alternatives and select the preferred architecture for complex OTC scenarios.
Configure SAP ECC for OTC end-to-end processes: Order Management, Pricing, Delivery, Billing, Credit Management, Revenue Recognition, and Integrations.
Ensure cross-module alignment with SD, MM, FI/CO, Logistics, BRIM, and external systems
Drive configuration, testing, documentation, and deployment for all OTC-related projects.
Prepare high-quality functional specifications for RICEFW objects, integrations, and enhancements.
Support global template harmonization and process standardization
Provide expert-level support for complex OTC issues across regions.
Partner with the production support manager to analyze recurring issues and implement preventive solutions.
Monitor system performance and reliability, ensuring smooth operational flows
Work closely with commercial, customer service, finance, logistics, and IT architecture teams.
Act as the liaison between business stakeholders and technical development teams.
Ensure seamless integration with CRM (e.g., Salesforce / SFDC) and other global platforms.
Mentor junior analysts and team members, promoting functional excellence and best practices.
Support training, documentation, and knowledge transfer activities.
Contribute to future SAP S/4HANA readiness and migration planning.

It starts with you - a senior ML engineer responsible for building, training, evaluating, and operating machine learning systems in production. The role focuses on data pipelines, model training, experimentation, evaluation, and scalable deployment.
If you want to grow your skills building AI products for mission-critical AI, join mission - this role is for you.
:Responsibilities
Design, train, and evaluate ML models for production use.
Build and maintain data pipelines for training, validation, and inference.
Own experimentation workflows: feature engineering, training runs, and comparison.
Implement model evals, monitoring, and drift detection.
Package and deploy models to production systems.
Optimize training and inference performance, cost, and reliability.
Collaborate with data, platform, and product teams.
Mentor engineers and promote ML engineering best practices.

We are seeking a highly motivated and analytically driven Junior Product Data Analyst to join our amazing, growing team. This is an exceptional entry-level opportunity for a recent graduate eager to apply their strong analytical capabilities in a challenging and high-impact environment. Youll play a crucial role in understanding user behavior, optimizing product performance, and contributing to data-driven decision-making that directly shapes the future of our globally-used applications.
What Youll Do:
Support Product Insights: Collecting, processing, and analyzing product performance data, user feedback, and market trends to generate actionable insights.
Data-Driven Optimization: Contribute to analyzing the success of new features post-release, monitoring usage patterns, and supporting tests to optimize performance and business results.
Problem Identification: Help identify opportunities for key initiatives to enhance the customer experience through rigorous data examination.
Cross-Functional Collaboration: Work closely with our R&D and Graphics teams, contributing to detailed specifications and understanding the product lifecycle from a data perspective.
Market Understanding: Support research into market dynamics, competitive landscapes, and user needs to inform product strategies.

Our awesome data team is looking for a passionate Data Analyst to explore and extract insights from millions of connected vehicles on the road. In this role, you'll develop the next generation of cybersecurity and mobility data applications for the automotive industry.
We are a fast-growing company and is looking for determined and devoted individuals. This is a chance to witness the connected vehicles revolution from a different angle. You will play a major role in the companys engagements, research large complex datasets, and use cutting-edge tools and methodology.
This role is full-time and is Israel based.
Responsibilities
Leading the data onboarding process of new customers.
Explore raw data of various customers as preparation for parsing and normalization in order to turn data into actionable insights and make data-driven decisions.
Use big data tools to analyze large scale real-time data of connected vehicles and identify anomalies and emerging threats to create meaningful detectors that bring value to our customers.
Representing the data function both internally and externally, including customer-facing interactions.
Automate internal processes using scripting languages.