לוח משרות דרושים Data Analyst משרה מלאה

We are looking for a Oracle Logistics Business Application Analyst.
What will you do?
IT professional focal point in new ERP implementation project in the Operations and Manufacturing (Logistics) domains
Ownership of several logistics modules in ERP and other related systems
Characterization & implementation of specific needs in the system adjusted to existing process.
Characterization & implementation of new processes
Write design documents including technical design
Software testing for new developments
Conducting system training for new users and periodic training for existing users
Providing daily service to the systems users in the HQ and in the Ink Plant
Control and support interfaces between the organizations systems

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.

We're looking for experienced, creative and highly independent NLP algorithm engineers to join our winning team.
This is a great opportunity to join an algorithm department early on and to have a major impact on the product and methods used.
You will be in charge of end to end algorithm development, from initial research, all the way to full deployment.
RESPONSIBILITIES:
Research, develop, and deploy advanced machine learning and deep learning models to production.
Take end-to-end ownership of the project lifecycle, from data collection and preprocessing to model training, evaluation, and deployment.
Utilize NLP methodologies to extract and provide insights from patient medical records.
Collaborate closely with cross-functional teams to understand business requirements and translate them into data-driven solutions.
Stay updated with the latest research and advancements in machine learning, deep learning, and NLP.
Communicate findings and recommendations effectively to both technical and non-technical stakeholders.

Required Technical Data Analyst
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
What were looking for:
Analyze and optimize raw and metadata based on company requests and business needs.
Translate requirements into effective solutions, coordinating internal and external resources to achieve desired outcomes.
Define key performance indicators (KPIs) ,interpret data using statistical techniques , and conduct data analysis to support business decisions.
Implement tracking and data collection methods, utilizing statistical techniques as needed.
Develop dashboards, key performance indicators (KPIs), and metrics for products, features, and infrastructure.
Provide insights and suggestions to stakeholders by conducting in-depth analysis and research.
Collaborate with engineering teams to enhance product visibility, serviceability, and quality.
Implement monitoring strategies and automate tasks to provide rapid feedback and diagnostics.
Monitor logs and metrics and create alerts to detect changes, issues, and potential attacks in production environments.
Develop and manage data pipelines, ETL processes, SQL procedures, and Python configuration scripts.
Perform troubleshooting and analysis, escalating issues as necessary and collaborating on cross-team issues.
Skills: KPI Reporting, Product Analysis, Data Visualization, Strategic Thinking, Problem Solving, Data Analytics, Critical Thinking Looker, Data Modeling, SQL ,Analytical Skills, Attention to Detail.

We are looking for a Business Data Analyst focused on our Go-To-Market (GTM) teams, which include Global Client Services (GCS), Support, Marketing, Sales & Revenues, Strategy & BizOps, to help strategize and drive growth & efficiency through business-oriented analytics.
As a data analyst in our GTM Data Analytics Group, you will work in a framework where analysts are unified under one professional structure while remaining connected to the functional departments. This design is shaped to enhance decision-making, collaboration, and drive more value for our customers & partners at scale.
This is a great opportunity to join a strong team and have a direct impact on the bottom line.
Responsibilities:
Drive analytical projects end-to-end to support the GTM strategy and operations.
Work closely with GTM senior management, and communicate insights and recommendations to senior stakeholders using clear and actionable presentations
Play a key role in setting up and analytically supporting the targets setting and KPI management for GTM teams
Enable, manipulate, design, analyze & maintain data, and create insightful, beautiful & actionable dashboards and business processes on various platforms such as Looker, to bring value to our GTM teams and support our strategy.
Analyze, support, and monitor existing business processes and assist with improving them to be more efficient, scalable, and drive better results.

Required data Management and AI Specialist
The data Management and AI Specialist will be responsible for creating and maintaining advanced functions and formulas in Google Sheets. Additionally, this role requires expertise in integrating and working with various AI tools to create custom scripts and enhance the functionality of our Google Sheets applications.
Through data analysis, identify opportunities for process improvement and optimisation to streamline operations.
Key outcomes of the role:
Develop, TEST, and implement advanced functions and formulas in Google Sheets
Create, modify, and maintain custom scripts using Google Apps Script
Integrate AI tools to enhance Google Sheets functionality
Troubleshoot and resolve issues related to Google Sheets and associated scripts
Collaborate with team members to understand requirements and provide effective solutions
Document processes, scripts, and user guides for developed solutions
Stay updated with the latest features and updates in Google Sheets and AI tools
What's in it for you?
There are many reasons to come on board our team of talented professionals, but here are just a few
We are collaborative, fair, consciously inclusive, and flexible
We trust, value, and support our people to make the difference
We believe that diversity of thought and experience provides the platform for innovation and creativity
We invest in the development of our people to drive our ambitions forward
We offer a range of benefits (including your choice of tech) and a competitive package
We offer a great work environment in an internationally successful enterprise in the online services industry.
If you need assistance completing an application for a position with us or need us to make any reasonable adjustments, please reach out to our Recruiting Team.

The data Management and AI Specialist will be responsible for creating and maintaining advanced functions and formulas in Google Sheets. Additionally, this role requires expertise in integrating and working with various AI tools to create custom scripts and enhance the functionality of our Google Sheets applications.
Through data analysis, identify opportunities for process improvement and optimisation to streamline operations.
Key outcomes of the role
Develop, TEST, and implement advanced functions and formulas in Google Sheets
Create, modify, and maintain custom scripts using Google Apps Script
Integrate AI tools to enhance Google Sheets functionality
Troubleshoot and resolve issues related to Google Sheets and associated scripts
Collaborate with team members to understand requirements and provide effective solutions
Document processes, scripts, and user guides for developed solutions
Stay updated with the latest features and updates in Google Sheets and AI tools
 
What's in it for you?
There are many reasons to come on board our team of talented professionals, but here are just a few
We are collaborative, fair, consciously inclusive, and flexible
We trust, value, and support our people to make the difference
We believe that diversity of thought and experience provides the platform for innovation and creativity
We invest in the development of our people to drive our ambitions forward
We offer a range of benefits (including your choice of tech) and a competitive package
We offer a great work environment in an internationally successful

Were looking for a sharp Product Data Analyst whos infinitely curious when it comes to leveraging data to solve product and business problems.
Youll be a part of the Analytics team and will spend your day-to-day tackling analytical questions and monitoring metrics. In order to succeed, youll need to demonstrate strong capabilities at modeling complex data, uncovering patterns, and delivering data-driven insights.
In this role youll:
Collaborate with members of the Analytics, Product, and Data teams to improve business decisions using data
Conduct A/B testing on our flow and processes in order to build state-of-the-art products
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring
Extract and analyze data using different data platforms (Snowflake, Python, etc.)
Present key findings to stakeholders across the company in order to drive business and product decisions
Explore new and unmapped data domains that can push our product forward.

Were looking for a talented Growth Data Analyst to join one of our agile revenue teams.
Youll be a strategic partner, and a decision maker, working closely with Revenue leadership to determine exactly where we want to scale our Growth efforts. Youll help model complex data, uncovering patterns and delivering data-driven insights that help us grow our business. As a Growth Data analyst, youll ask the right business and strategic questions, and find the insights to answer them.
In this role youll:
Be part of the Analytics chapter, spending your day-to-day applying advanced solutions to real business problems
Provide the analytical firepower to help evolve our acquisition strategy and grow our user base effectively and efficiently
Collaborate with other data analysts and leverage the many tools we have developed to continuously measure, test, and optimize across all partners and platforms
Own data integrity infrastructure, such as creating and maintaining dashboards.

We are The Data Science team, focused on Risk Management, our work is centered around compliance and due diligence, specifically Fair Lending and Anti Money Laundering by unmasking the bad guys and solving problems. Our team is working with vital analytics to ensure we are within the guidelines for banking regulations, managing the bank's exposure to loss and risk. Our team uses SAS, Python and various machine learning models to provide on-demand analysis. You will Manage a team that will design, develop, and implement predictive models, machine learning algorithms, and statistical techniques to assess fair lending risks and detect potential instances of discrimination Analyze large datasets and identify patterns, trends, and potential areas of concern related to Fair Lending practices Utilize advanced statistical methods to evaluate model performance, including model calibration, validation, and interpretation of results Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions for Fair Lending compliance Develop and maintain of scalable data pipelines, data models, and analytical tools to support fair lending analysis and reporting activities Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices This position reports to the Fair Lending Data Science Manager
You have
* 5+ years of experience in data analysis, statistical modeling, and predictive analytics within the financial services industry, preferably in Fair Lending or credit decisioning - Must
* Bachelor's degree in Statistics, Mathematics, Data Science, Economics, or a quantitative field. - Must ( Advance degree an advantage) Proficient in Hebrew and English both written and verbal, sufficient for achieving consensus and success in a remote and largely asynchronous work environment - Must
* Strong knowledge of advanced analytics and machine learning techniques such as regression and classification algorithms including linear and logistic regression, k-nearest neighbors, support vector machines (SVMs) and other techniques
* Experience working with cloud-based data platforms and technologies such as AWS and Sagemaker for scalable data analytics and machine learning
* Strong technical proficiency in data science tools and programming languages such as Python, R, SQL , with experience in developing predictive models and machine learning algorithms
* Experience working with large-scale datasets
* Ability to communicate findings and recommendations to stakeholders
* Strong problem-solving skills while paying attention to detail
* Strong project management skills, with the ability to manage multiple projects, prioritize tasks, and meet deadlines in a fast-paced, dynamic environment
* Ability to facilitate collaboration to achieve project goals A Bonus
* 2+ years of experience in a leadership or management role an advantage
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) preferred
* Experience in Fair Lending analytics preferred
* Knowledge of regulatory compliance frameworks and industry guidelines for fair lending risk management an advantage
* Experience with machine learning techniques, such as decision trees, random forests, or gradient boosting an advantage
* Experience with data visualization tools such as Tableau, Power BI an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions for various financial services, including payments, credit cards, and loans. Globally, Cross River has 900 employees, 170 of whom are based in the R&D center at the Jerusalem offices. We offer a wide range of wellness benefits including ong

We are Tailor Brands . We built a platform that builds businesses. From launching and managing to growing a business, Tailor Brands is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our "Guidance Engine" assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, we’re turning the process of starting, managing, and growing a business into a better experience; we’re simplifying the business journey. At Tailor Brands, we believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business
By taking part in our vision you will
* Analyze user website activity patterns and flows daily to improve the usability and the experience of our customers
* Bring insights and suggestions to Product Managers, Marketing, Customer Success, Finance, and Management by conducting deep analysis, AB tests, and research
* Monitoring of business KPIs and product metrics to alert about changes, conduct ad-hoc/periodic analytics, and present your results
* Development of reports, dashboards, KPIs, and metrics
* Discovering new ways to use our data to create value for our users
* Analysis of raw data according to complicated business questions

FireArc owns, develops, and continually optimizes an intricate system of digital assets, contents, and infrastructures, all contributing to our digital advertising ecosystems. Our products and digital content range from utility applications, habit-tracking mobile apps, and gaming apps, to native advertising ad tech. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are seeking a dynamic Product Manager with a passion for creating captivating B2C web applications and leading some of the company's business initiatives This role requires collaboration with our Marketing team, designers, developers, and data analysts to build product strategies that resonate with our company's vision. If you have a keen sense of marketing and a flair for monetization, we'd love for you to join our team. ?Your Impact & Responsibilities:
* Collect and consolidate data from various sources, including databases, mobile app analytics tools, and third-party sources
* Analyze user behavior, engagement metrics, and performance indicators to identify trends, patterns, and anomalies
* Create clear and concise reports, dashboards, and data visualizations to communicate insights effectively to stakeholders
* Monitor key performance indicators (KPIs) and proactively alert teams to deviations from established benchmarks
* Perform A/B testing and cohort analysis to assess the impact of changes and features on user behavior and retention
* Maintain data documentation and metadata to facilitate data governance
* Partner with product managers, developers, and marketers to support data-driven decision-making

Brand:
FireArc

abra R&D is Seeking an experienced Product Owner to join the team! abra R&D Solutions is a solution provider in the Cloud, Security and DevOps markets for businesses, provide unique opportunity to innovate, get into new markets quickly, mitigate risks effectively and deliver a high customer engagement as for today’s demand. We are a currently hiring a Product Owner to join our Networking team at the forefront of technological innovation. Our mission is to provide our customers with the best possible experience through cutting-edge systems and unparalleled service. As an Information Product Owner, you will have the opportunity to work on exciting projects that impact millions of users every day. Job Description: We are looking for an experienced Information Systems Analyst to join our team. In this role, you will be responsible for analyzing systems from idea phase to production, conducting research, writing technical and functional documents, and collaborating with technology and development teams in an advanced environment. You will be working on cutting-edge projects in the world of communications, networks, and protocols, with a focus on provisioning. Responsibilities:
* Conduct in-depth analysis of systems from idea phase to production
* Conduct research, write characterizations and requirements, and write technical and functional documents
* Collaborate with technology and development teams in an advanced environment
* Work on cutting-edge projects in the world of communications, networks, and protocols, with a focus on provisioning

As a Data Analytics Manager on the Storage Analytics team , you will play a pivotal role in managing a team of data analysts and data engineers working across various storage-related domains. Your responsibilities will include architecting data solutions, managing plans and schedules, and overseeing your team as they perform exploratory data analysis and build data pipelines. You will communicate with cross-functional teams and upper management to present results, conduct code reviews, and ensure statistical validation of the team's work. Additionally, you will guide your team in using tools like Jupyter and Tableau to explore and visualize data for publication to client teams. You will also participate in periodic infrastructure support for our teams Python-based, distributed microservices.
This role requires someone with a strong technical background who is comfortable working in a fast-paced, dynamic environment. If you have the required qualifications and are excited about the opportunity to join a world-class team, we would love for you to apply today!
Minimum Qualifications
Ability to lead data investigations and analysis projects with ambiguous requirements
Advanced statistic and modeling knowledge
Experience visualizing and presenting analyses in tools like Jupyter and Tableau
Familiarity with distributed computation, storage, and workflow management (e.g. Splunk, Spark, Kubernetes, Kafka, Hadoop, MapReduce, AirFlow etc.)
Proficient Python and SQL and not afraid to roll up your sleeves to handle complex tasks when needed
Excellent written, verbal, and data communication skills