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RYB Technologies
דרושים בRYB Technologies
Job Type: More than one
We are


We are a highly profitable, fast-growing financial technology company powering the future of financial services. Our comprehensive suite of innovative and scalable Embedded payments, cards, and lending products deliver financial services for millions of businesses and consumers around the globe. We are backed by leading investors and serve the worlds most essential fintech and technology companies. Together with its partners, we are reshaping global finance and financial inclusion.


We are on a mission to build the infrastructure that propels access, inclusion, and the democratization of financial services.
Requirements:
You are
We are the data Science team focused on regulatory compliance, primarily Fair Lending and Anti-Money Laundering (AML). We support these areas with analytics and Machine Learning using Python, SAS, and other tools to ensure alignment with banking regulations.

You are detail-oriented, analytical, and passionate about data -driven decisions.

This is an open role in the AML data Science team, responsible for data analysis, interpreting results, and delivering insights that support operational excellence and regulatory compliance.


You will:
Present analysis clearly for informed decisions, collaborate across teams, develop and monitor scenarios, create reports and dashboards, and support AML policies and tools.

You have:
Native English, strong Hebrew, 3+ years in data science, SQL/ Python, AML systems, BI tools, Machine Learning, and AML/Fraud experience
This position is open to all candidates.
 
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חברה חסויה
Location: Jerusalem
Job Type: More than one
Who We Are At Cross River, we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely.?With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - we’re reshaping how financial technology is developed and delivered. segmentation and optimization tools.

The Role:
As a Data Scientist you’ll play an essential role in driving data-informed decisions that strengthen our AML/CFT compliance and empower business leaders with actionable insights. By transforming complex data into clear, compelling analysis, this role enables quick understanding of results and supports strategic recommendations that directly influence compliance outcomes and operational success. You’ll collaborate with cross-functional partners to deliver a comprehensive view of risk, monitor the impact of implemented strategies, and make critical adjustments as needed. From designing and refining transaction monitoring scenarios to producing high-quality dashboards and reports, your work will guide ongoing optimization efforts.

Who You Are:

* Curious and analytical – You love digging into data, asking the right questions, and uncovering insights that others might miss.
* Clear communicator – You can explain complex findings in a way that’s easy to understand, whether it’s to compliance officers or business partners.
* Collaborative mindset – You enjoy working across teams and believe that the best solutions come from bringing different perspectives together.
* Mission-driven and detail-oriented – You care deeply about making a real-world impact and bringing focus and precision to everything you do.

What You’ll Actually Be Doing:

* Present data and analysis in a clear and concise manner allowing the audience to quickly understand the results and recommendations so they can make informed data-driven decisions.
* Collaborate with various partners to provide a holistic view of the analysis. Measure and monitor results of applied recommendations and present adjustments.
* Develop scenarios involving tuning, calibration, segmentation, and optimization.
* Provide routine and ad hoc reporting tied to AML/CFT compliance.
* Develop insightful and compelling summary reporting and dashboards for management and business line partners.
* Support the development of policies and procedures for AML transaction monitoring life cycle, including reviews of scenario validation, segmentation and optimization tools.

What You Bring to the Table:

* 3+ years or relevant experience in the data analytics and/or data science field - Must
* 3+ years' experience using SQL/Python for querying data and for data manipulation / transformation – Must
* Significant experience in implementing an end-to-end AML/CFT compliance management platform that includes transaction monitoring tools - Must
* Native level English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment and good Hebrew
* Experience implementing AML or Fraud Transaction Monitoring in Palantir - A plus
* Experience in Business Intelligence/Data Exploration and Visualization tools
* Experience in Implementing AML or Fraud Solutions, AML/Fraud Alert Generation Process, Scenario Management
* Strong analytic skills and problem solving with the ability to extract, collect, organize, analyze and interpret trends or patterns in complex data sets
* Knowledge and understanding of machine learning and artificial intelligence approaches, ideally with experience of applying them in an AML/Fraud context

Why You’ll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement – from therapy to gel
Requirements:
This position is open to all candidates.
 
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3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
A Tel Aviv based FinTech startup that provides the worlds leading 360 financial solution for small businesses.
platform enables every small business to:
Accept payments online & in person.
Pay vendors easily and automatically.
Access real time funding & Credit as needed.
Access full invoicing and bookkeeping solution.
Use multiple pre-integrated 3rd party services.
Were targeting one of the largest markets in the world. Small businesses represent 99% of the worlds businesses and 60% of the global GDP and yet, they are the most overlooked and underserved segment in the economy. is leveling the playing field and helps these entrepreneurs succeed by taking all the hassle and headache off their plate and giving them the tools to focus on their core activity. We believe you should Let The Baker Bake!
Whats unique about ?
Weve entered our rapid growth and expansion stage and are planned to grow from 50 to 200+ employees over the next year. This is your opportunity to join a rapidly growing company, have an immediate impact on the product and the companys evolution.
We are currently processing billions in volume for 80,000+ businesses and were just getting started. If you are talented, humble and ambitious now is the best time to join a rapidly scaling rocket ship where you can make an impact and be a significant part of our journey.
About the Opportunity:
Were looking for a data obsessed professional eager to extract insights from data to create more value for us and our customers.
This position will include responsibilities for both our data integrity, and generating business and product insights based on data.
What youll be doing:
Financial Integrity: Ongoing responsibility to ensure data integrity across all systems.
Monitors: Develop monitors to ensure ongoing data integrity.
Data Visualization: Build insightful tools, dashboards, and complex reports.
Decision-Support: Be involved in key decision points and assist various teams in making thoughtful, data-driven decisions
Support Machine Learning Initiatives: Collaborate with our data science team to develop ML models and ensure the quality and reliability of data.
Strategy and Product Growth: Partner with product and business professionals to establish data-driven policies and strategies.
Requirements:
3+ years hands-on experience as a data or business analyst.
Expert SQL skills.
Experience in working with EasyQuery, PowerBI, Looker and Tableau (or similar tools).
Experience with Python (Pandas, Numpy, scikit-learn) An Advantage
Analytical and detail oriented; quick-thinker, fast learner, problem solver.
Ability to form strong, meaningful, and lasting connections with others, enabling smooth and continued collaborative relationships.
Startup mentality A Must.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we're on a mission to shape the future of the shipping industry through cutting-edge autonomous ship technology. Our solutions empower teams both on the ship and ashore to make informed decisions that dramatically enhance safety, reduce fuel consumption, improve navigation, and minimize environmental impact.

We integrate state-of-the-art technologies like computer vision and augmented reality, ensuring that we create solutions that improve operational efficiency and promote safer, greener shipping practices. we are committed to making a positive difference for both the environment and the people who rely on safe, efficient shipping practices. Join us as we work towards a safer, greener future for the maritime industry.

We are seeking a highly motivated and results-driven Senior Data Scientist to join our expanding data group. You will work directly with our team of data scientists and analysts, leading the research and development of innovative analytics products. Were seeking someone who is not afraid to roll up their sleeves, dive into the data, and deliver impactful solutions.

The ideal candidate will be an experienced analytics leader with a strong hands-on approach. You should be passionate about data and possess a deep understanding of machine learning, statistics, and data science principles. You will thrive in our dynamic environment, taking ownership of driving analytics for our new line of data products and demonstrating a "get-things-done" mentality.

Responsibilities:
Leverage a creative blend of AI techniques, machine learning algorithms, statistical analysis, and business intelligence to build and refine predictive models focused on tabular data. This includes structured datasets such as customer records, transactional data, time-series, and operational logs.
Drive end-to-end data science workflows for tabular data prediction use cases from initial problem scoping and feature engineering to model development, validation, and deployment.
Collaborate closely with dedicated development and product teams to ensure seamless integration and high-quality data science solutions.
Build and continuously optimize scalable ML pipelines and infrastructure specifically tailored for structured data and predictive modeling tasks.
Take initiative in identifying delivery bottlenecks, implement effective monitoring and model performance tracking for tabular predictions, and own the success of data-driven product features from inception through deployment.
Requirements:
M.Sc./PhD in a relevant field with strong quantitative skills.
5+ years of hands-on experience as a Data Scientist in an innovative and fast-paced environment.
Strong analytical mindset with a deep understanding of data limitations, sampling, frequency, manipulation, and cleaning techniques.
3+ years of practical experience with the Python data science toolbox
Experience working with large datasets and familiarity with the Big Data ecosystem
Proven track record of delivering data-driven solutions achieving measurable outputs.
Excellent communication and interpersonal skills, with the ability to collaborate effectively within a team.
Self-starter with a "get-things-done" attitude and a proactive approach to problem-solving.
Continuous learner who is passionate about staying up-to-date with the latest data science trends and technologies.
Additional Nice to Have:
Strong data visualization and presentation skills.
Experience working in cloud-based environments.
Maritime background and passion
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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
Requirements:
Were looking for someone with moderate experience (Minimum 2-3 years) of working in a financial services / bank or fintech company with exposure to solving risk-related problems equipped with analytical and relevant skill sets.
Must haves:
Broad background in risk systems, methodologies, and processes in a retail or wholesale bank/fintech environment
The ability to translate complex business problems into statistical solutions and be able to communicate the solution in a simple manner to the stakeholder
Exceptional data-gathering skills and resourcefulness
Experience in SQL and at least one other platform e.g. R / Python
Experience working with GCP, establishing data pipelines
Excellent problem-solving skills and the ability to identify alternative solutions
Working experience in building analytical solutions and predictive models for risk-related business problems.
Hands-on experience with at least one Visualization tool e.g. Tableau, Looker, Qlikview, Quicksight, etc.
Good to have:
Understanding of the Payment ecosystem (Online Payments) and how different companies play a role in the lifecycle of a payment.
Understanding of Card Acquiring and the associated risks
Experience/Understanding of default modeling
This position is open to all candidates.
 
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20/05/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a strong, hands-on Data Scientist to join our Data Loss Prevention team.

In this role, you will join an R&D team that researches, designs, and develops Check Points data loss prevention cloud services, providing state-of-the-art AI-based data loss prevention solutions on a global scale.

Key Responsibilities


Join the research and development of new innovative capabilities for data loss prevention, involving advanced AI and algorithms.
Quickly iterate on design approaches based on data-driven research and user feedback.
Design and develop novel data-driven solutions that have the potential to deliver game-changing results involving advanced AI and algorithms.
Utilize Natural Language Processing (NLP) and large language models to enhance data loss prevention capabilities.
Work on web content categorization as part of the broader scope of data protection.
Collaborate with Cyber Researchers, Analysts, Fellow programmers, and Data Scientists to deliver machine learning and analytics solutions.
Push the solutions all the way to large-scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.
Requirements:
At least 3-4 years of relevant experience and track record in Data Science: Machine Learning, Deep Learning, and Statistical Data Analysis.
Proven experience in developing and deploying production-level models within enterprise environments.
MSc or PhD degree in CS or Mathematics, Bioinformatics, Statistics, Engineering, Physics, or similar discipline.
Strong hands-on experience in Python with a focus on statistical algorithms development.
Experience with data science libraries such as: sklearn, pandas, numpy, pytorch/tensorflow.
Team player, able to work in collaboration with subject matter experts, with the ability to clearly present and communicate findings.
Proven ability to build and deliver data solutions in a short time frame.
Experience with AWS, Docker, and development methodologies - an advantage.
Active Github, Kaggle member an advantage.
Background in data loss prevention or related fields an advantage.
This position is open to all candidates.
 
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11/05/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a talented and detail-oriented Financial Data Analyst to join our team! This role offers a unique opportunity to combine financial planning and analysis expertise with cutting-edge BI tools. Your main responsibility will be to provide a visual analysis of the ongoing key performance indicators to drive strategic decision-making, reporting to the CFO.
KEY RESPONSIBILITIES:
Develop and maintain financial models, forecasts, and reports
Design data models to support the financial models.
Create automated dashboards for KPI monitoring using Tableau and other BI tools
Conduct statistical analysis to identify trends, patterns, and optimization opportunities
Analyze complex datasets representing user behavior and financial performance across 1000+ mobile apps
Monitor and analyze marketing KPI performance and user monetization metrics
Translate complex financial data into actionable recommendations.
Collaborate across all departments to analyze performance metrics and support strategic planning.
Continuously improve processes to enhance efficiency and data accuracy.
Requirements:
5+ years of experience as Financial Data Analyst or a similar role.
Bachelor's degree in Statistics, Mathematics, Economics, or related field
Proven experience with data analysis; SQL is a must.
Strong skills in Tableau, with a knack for creating impactful dashboards.
Strong background in financial modeling and statistical analysis
Analytical mindset with exceptional attention to detail.
Excellent communication skills to present insights clearly to stakeholders.
Experience with mobile app analytics platforms and monetization strategies - Advantage
This position is open to all candidates.
 
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25/05/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
For many of us theres that one podcast we never miss, and video content is part of our daily routine, whether its professional or personal. But how many of us truly understand the effort that goes on behind the scenes? Here at Riverside, we know it well. Thats exactly why we built an AI-powered platform that helps content creators, podcasters, marketeers, and more at major brands like Netflix, Disney, Google, and Microsoft to create high-quality content with ease. Riversides technology streamlines the entire content creation process, turning ideas into professional-grade content with the highest production standards, without requiring expensive equipment or external services. The secret? AI-driven tools that replace traditional production roles like editing, directing, and design, automating the entire process at the click of a button.
About the data Team Riversides data & Analytics team believes theres a better way to make data useful than just creating endless dashboards. We focus on in-depth analysis and building scalable, trustworthy data solutions that help every team make faster, smarter decisions. From analytics and business intelligence to data pipelines and predictive models, we turn raw information into real impact. If youre passionate about finding radical new ways to leverage data, youll fit right in.
On your day to day Were looking for a data Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of Riverside.
What you will be doing You will have the chance to work with multiple teams (Marketing, Product, Sales, etc.) doing the following:
* Analyze customer and user behavior and inform the teams in order to influence strategy and trajectory.
* Collaborate with the team, define KPIs and measure the impact of their teams on Riverside performance.
* Design, execute, and analyze A/B tests to measure the impact of changes and refine strategies.
* Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
* Play a key role in understanding our users and their needs.
* Lead the development of innovative data products.
* Stay updated on industry trends and best practices in data analysis and user journey optimization.
Requirements:
What Will Make You Stand Out?
* At least 2 years of experience as an Analyst in a tech company.
* Strong communication and presentation skills.
* Familiarity with A/B testing methods and the ability to make data -driven decisions.
* Proficiency in SQL is a must. Knowledge of Python for data analysis is a bonus.
* Creative thinking for product improvement.
* Understanding of business and product processes to create effective data models.
* Detail-oriented with a proven track record in quantitative fields.
* Capable of collaborating with diverse teams in a fast-paced environment.
Bottom line? If you wanna take part in transforming how people and businesses share their stories globally, Riversides your place. The work is challenging, the culture is fast-paced, and the people are exceptionally brilliant. And if thats not enough, we guarantee that your ideas will genuinely make an impact.
This position is open to all candidates.
 
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27/05/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we believe when you get the people thing right, you can build teams that can change the world. Were helping organizations around the globe reimagine hiring with our first-of-its-kind recruitment technology. From our Conversational ATS to our best-in-class hiring assessments, laser-focused on building world-class products and a team that our clients love. Our high-performance culture and triple-digit growth have been recognized on Deloittes "Fast 500" technology companies, the Inc 5000 list of fastest-growing private companies, and as a Forbes Best Startup Employer. And were just getting started. We are looking for top performers who have a track record of success and want to build a company and create the future together.

Were in search of an LLM Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide. you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!
As an LLM Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Design and implement LLM evaluation frameworks to assess and integrate new AI models, parameters, and techniques
Create synthetic datasets and develop end-to-end GenAI workflows, from data preprocessing to model deployment
Evaluate and integrate new AI models and technologies, staying at the forefront of advancements in the field
Design and build AI agents that automate key workflows for recruiters, empowering them with intelligent automation capabilities
Optimize AI-user interactions through prompt engineering and other techniques to enhance our AI-driven hiring assistant
Implement practical applications of LLM research findings, creating scalable tools for user-facing applications
Conduct data analysis and develop metrics to measure the performance and impact of AI solutions.
Collaborate with cross-functional teams and our global R&D team to drive AI innovation and evolve strategies across our products
Requirements:
Bachelors Degree in Computer Science or related field
At least 3 years of experience in Data Science or similar roles
Experience working with Python is a plus
Deep interest and foundational knowledge in Large Language Models (LLMs) and Prompt Engineering
Excellent written communication and problem-solving skills
Fluent in English, including both written and verbal communication
Ability to learn quickly and maintain attention to detail
Authorization to work in Israel

Preferred Qualifications:
Experience in UI/UX design, Machine Learning, AI techniques, chatbot development platforms, or NLP/NLU is a plus
This position is open to all candidates.
 
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03/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
the brand grabs attention like nothing else in cybersecurity. And were growing like crazy, with $70M in Series C funding, 200% employee growth, and 300% revenue growth in 2024. Fueling growth are our game changing agentic AI security solutions, backed by a team and culture that makes one of Forbes Best Startup Employers in America, and a Business Insider startup to bet your career on.

Life at is all gas, no brakes. Were a team of relentless, collaborative go-getters pushing the boundaries of whats possible for security automation. Every role is an essential driver of success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. Excited about our vision and ready to make an impact as we grow? Wed love to see what you can bring to the team.

A Product Analyst at plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.

What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.
Requirements:
BSc/BA in Industrial Engineering, Economics, Statistics, Business Management, or a related field.
2+ years in an analytical role, ideally in a SaaS or cybersecurity company.
Proficient in SQL (complex joins, window functions).
Strong Excel and BI tool experience (Tableau, Looker, Power BI).
Familiarity with A/B testing, user analysis, and KPI development.
Strong communication skills to present insights clearly.
Bonus: Experience with Google Analytics, Amplitude, or Salesforce, and understanding of data modeling/ETL processes.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8202216
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03/06/2025
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
A well-funded AI startup leveraging Machine Learning and Computer Vision to optimize passenger journeys by making security screening accurate, fast, and labor-free. We are at the forefront of AI innovation, located in the heart of Tel Aviv, and are looking for passionate professionals to join our dynamic team.
We are seeking a Data Analyst to work within our R&D Department. This role involves managing and analyzing complex data pipelines, building insightful BI dashboards, and supporting the development of machine learning models. Your work will directly contribute to improving our AI-driven product and driving business decisions.

Responsibilities:
Manage and maintain the labels database to ensure accurate and consistent data for machine learning model training.
Analyze machine learning model performance and provide detailed insights to improve accuracy and efficiency.
Design, build, and maintain BI dashboards using Tableau or other visualization tools to deliver actionable insights.
Develop and execute automated processes for data preparation, analysis, and reporting.
Collaborate with cross-functional teams to define technical requirements and implement scalable data solutions.
Conduct in-depth analysis of business, technology, and product activities, delivering comprehensive insights to stakeholders.
Identify trends and opportunities for optimization, presenting findings to the management team.
Requirements:
5+ years of experience as a data analyst or in a similar role.
Proficiency in Python (1-2 years of hands-on experience) for data manipulation and analysis.
Solid experience in SQL (2-3 years), including complex queries and data transformations.
Proficiency in Tableau or a similar BI tool (2-3 years).
B.Sc in Information Systems, Industrial Engineering, or a related field an advantage.
Familiarity with reporting architecture, including data warehousing, ETL processes, and data modeling an advantage.
Experience or knowledge of Machine Learning or AI environments a significant advantage.
Strong skills in data manipulation, statistical analysis, and data visualization.
Excellent multitasking and organizational skills, capable of supporting multiple projects simultaneously.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8202291
סגור
שירות זה פתוח ללקוחות VIP בלבד