דרושים » תוכנה » Data Analyst

We are looking for a Risk Analyst to help us build, design, and manage risk analytics & reporting for our existing portfolio of merchants across all operating countries. Youll be responsible for developing, publishing, and fine-tuning the analytics and reporting requirements for Global business for the Risk team.
The role requires strong Data Analytics, Business Intelligence, and Visualization skills and the ability to explain complex situations and concepts through data-driven storytelling.
This role also has scope for building risk models for our existing portfolio of merchants to mitigate the existing financial risk. Modelers will be taking the responsibility of defining the problem statement, building the solution, and offering an optimal strategic approach to implement the solution within the existing ecosystem and showcase value addition.
The role will require coordination with teams within Risk and across and managing senior stakeholders within the Risk function. You will need to work with Risk team members to understand their analytics and reporting requirements and build the same. You will be a key member of the team working in a fast-paced environment on impactful assignments with the exposure to work directly with senior management across the company.
Key Responsibilities:
Own (Build and maintain) the Risk reporting area for the Global Risk team and publish reports aligning with the requirement timeline
Perform analysis throughout the entire customer lifecycle, including acquisition, portfolio management, and collections providing actionable MI on all aspects of portfolio performance
Provide support to the business by addressing inquiries and offering ad hoc insights into portfolio and strategies.
Develop and maintain the Risk models used to manage customer credit and fraud risk in including exposure and default methodologies and associated behavioral measures.
Design, Development, and maintenance of analytical solutions related to risk.
Providing the business and other stakeholders with advice and support on model use, model impact, and model implementation
Supporting external engagement and internal governance in relation to risk models and model frameworks

We are looking for an Algo/ML Product Analyst to join our R&D center in TLV. The position is to be part of our Algo-Routing product team, responsible for our research on a wide variety of topics, providing data insights, helping drive optimization of the product and user experience. As an Algo Product Analyst youll be working closely with data scientists, algorithm developers, product managers, business teams and more.

All of our Product Analysts are all highly autonomous, highly valued members of the product team - leaders in their field, and product experts. They are curious and independent team members, passionate about tackling complex problems in a world of rich data and real-life user needs.

What You'll Do:
Take an integral part in developing our next generation of Algorithms to solve transit problems across the world.
Analyze product algorithmic behavior and product performance data, develop measures to ensure product health and data-driven decisions
Become the focal point for all data-related matters in your team / field
Work independently and with team-members to discover product insights, collaborate with product-managers to drive data-driven product priorities
Take full data ownership for existing and new features: define data points, extract data from multiple sources, conduct ad-hoc / periodic analytics, make complaining arguments
Create, support, monitor and maintain reports / dashboards for various roles
Initiate, own and manage multiple data projects simultaneously
Work closely with PMs, algorithm developers, business teams, data scientists and more.

We are looking for a highly analytical and technically driven individual, ideally with a legal background, to join our Consumer Protection team within growing Legal Intelligence department.
As a Legal Intelligence Analyst, you will be responsible for the end-to-end development of data-driven legal insightsfrom identifying new types of legal violations across the web, to designing and implementing data collection workflows, analyzing large-scale datasets, and ultimately surfacing scalable litigation opportunities.
You will also assess and predict case outcomes based on advanced calculations, using both quantitative data and legal reasoning. This role emphasizes hands-on legal and data work and creative technical problem-solving.
You wont just use internal toolsyoull help build and evolve them, turning raw data into actionable intelligence and transforming one-off processes into repeatable, scalable solutions.
Your work will feed directly into product development and business strategy, making this a cross-functional role with strong product management and business development elements.
Ideal candidates will bring a strong foundation in data analysis, technical thinking, and process design, along with a legal background and a passion for building smart systems that unlock hidden violations at scale.

We are seeking talented and passionate Data Engineer to join our growing Data team. In this pivotal role, you will be instrumental in designing, building, and optimizing the critical data infrastructure that underpins innovative creative intelligence platform. You will tackle complex data challenges, ensuring our systems are robust, scalable, and capable of delivering high-quality data to power our advanced AI models, customer-facing analytics, and internal business intelligence. This is an opportunity to make a significant impact on our product, contribute to a data-driven culture, and help solve fascinating problems at the intersection of data, AI, and marketing technology.
Key Responsibilities
Architect & Develop Data Pipelines: Design, implement, and maintain sophisticated, end-to-end data pipelines for ingesting, processing, validating, and transforming large-scale, diverse datasets.
Manage Data Orchestration: Implement and manage robust workflow orchestration for complex, multi-step data processes, ensuring reliability and visibility.
Advanced Data Transformation & Modeling: Develop and optimize complex data transformations using advanced SQL and other data manipulation techniques. Contribute to the design and implementation of effective data models for analytical and operational use.
Ensure Data Quality & Platform Reliability: Establish and improve processes for data quality assurance, monitoring, alerting, and performance optimization across the data platform. Proactively identify and resolve data integrity and pipeline issues.
Cross-Functional Collaboration: Partner closely with AI engineers, product managers, developers, customer success and other stakeholders to understand data needs, integrate data solutions, and deliver features that provide exceptional value.
Drive Data Platform Excellence: Contribute to the evolution of our data architecture, champion best practices in data engineering (e.g., DataOps principles), and evaluate emerging technologies to enhance platform capabilities, stability, and cost-effectiveness.
Foster a Culture of Learning & Impact: Actively share knowledge, contribute to team growth, and maintain a strong focus on how data engineering efforts translate into tangible product and business outcomes.

real-world impact . Our mission is to future-proof the global food supply through precision pollination. BeeHero is a data-driven company that has developed a unique platform that leverages low-cost IoT sensors and artificial intelligence to collect and analyze data on bee behavior and pollination patterns. This data is then used to help farmers and food producers optimize their crop yields, improve crop quality, and enhance overall ecosystem health. With BeeHero’s technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about how to manage their land and resources. This data empowers farmers with actionable insights to boost crop yields, improve quality, and support the health of our ecosystems. With BeeHero’s technology, farmers gain deep insights into the complex world of pollination and can make more informed decisions about how to manage their land and resources. We're looking for a Data Analyst Team Leader to join our office in Tel Aviv and play a key role in BeeHero's success.>

Responsibilities:
As Data Analyst Team Leader, you will:
* Split your time evenly between team leadership (50%) and hands-on analytical work (50%)
* Personally analyze large datasets from our sensors to discover critical trends in hive state, health, and pollination efficiency
* Lead and mentor a team of data analysts, fostering professional growth while staying deeply involved in technical execution
* Directly build and optimize dashboards and reports that communicate key metrics across the organization
* Write and review code for data pipelines, analytical models, and visualization tools
* Develop and implement data quality processes while maintaining your technical edge through active coding
* Balance strategic leadership with day-to-day technical contribution across multiple concurrent projects

we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of Machine Learning, GenAI, and computer vision within the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply Embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We seek a Director of data to join us and lead our data group. As our Director of data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact: Define and execute a strategic data roadmap aligned with business objectives, fostering a data -driven culture and leading a high-performing team of data engineers, scientists, and analysts.
* Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
* Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
* Collaborate with product and engineering teams to create and launch data -driven products, ensuring they are built on reliable data and designed to meet customer needs.
* Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
* Implement data governance policies and maintain compliance with industry regulations and best practices.

As a Data Engineer, you will collaborate with various stakeholders to design, develop, and maintain data analytics solutions that enable informed business decisions. You will use the latest tools and technologies to ensure the data is accurate, timely, and actionable
How is your day going to look, what will you be doing?
Develop data solutions in collaboration with data analysts, data scientists, product engineers, and product managers
Design and develop the infrastructure for ingesting and processing data in the analytics data warehouse
Design data analytics modeling solutions focused on business decision-making
Write robust ETL processes, handling a variety of structured and unstructured data sources
Ensure data quality, consistency, and governance across the analytics layer.

We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

We are a top player in its game and is heading for an exciting year. In this role, you will take an integral part in the creation of a new and innovative SaaS product.
If you are a talented data analyst that is passionate about elevating trust and customer protection and looking for your next challenge we want you to join our team!
What You'll Do:
Learn, maintain and improve our fraud detection process
Be an escalation point for investigations of customers and suggest optimization activities to improve their performance
Identify, analyze and visualize data trends and translate them into actionable business insights
Manage fraud cases while acting as the main point of contact with stakeholders across the company
Develop and automate reports, dashboards, notebooks and pipelines to provide insights at scale, solving for analytical needs
Work closely with Product and Analytic teams to support decision making as part of new features rollout

we are looking for an experienced BI Developer with strong analytical and engineering capabilities and a business-oriented mindset to join our team. We seek a candidate who can independently lead end-to-end data processes, understand business challenges, and deliver actionable insights that align with organizational goals. As a key member of our team, youll need the ability to partner with cross-functional teams, communicate effectively with both technical and non-technical stakeholders, and think strategically to address evolving business needs.We are searching for a curious and initiative-taking individual who can delve deep into business problems, perform in-depth analyses on datasets containing millions of records per day, and extract impactful insights to support data-driven decisions. This is a unique opportunity for someone with 4+ years of BI development and analytical experience to play an essential role in scaling operations within a rapidly growing, dynamic environment.
If youre passionate about turning data into actionable strategies and thrive on solving complex business problems, Aura is the place for you to grow and make a difference.
What you'll be doing:
Analyze complex datasets and extract meaningful insights. Identify trends, patterns, and correlations within the data to inform strategic decision-making.
Design, manage and maintain analytics products and BI solutions for the entire group.
Create clear and visually compelling reports and dashboards to present analytical findings to key stakeholders. Collaborate with cross-functional teams to develop customized reporting solutions that address specific business needs.
Work closely with multiple teams (R&D, Product, Monetization and more) to understand business objectives and provide analytical support for strategic initiatives. Translate business requirements into actionable analytical tasks and deliverables. Proactively identify opportunities for process improvement and optimization based on data-driven insights.