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Since 2008, Vision.bi has been working on projects that change the way companies treat data. During this time, our data engineering professionals have delivered hundreds of high-standard, large-scale analytics projects to more than 200 startups and enterprise organizations. TABLEAU SALES ENGINEER Full Time Since 2008, Vision.bi has been working on projects that change the way companies treat data. During this time, our data engineering professionals have delivered hundreds of high-standard, large-scale analytics projects to more than 200 startups and enterprise organizations. Tableau is a clear market leader for BI & Analytics. As a Tableau Gold Partner Reseller we offer to our customers professional services, training, kickstart packages and more. Job Responsibilities: Be a Tableau product expert and keen to help customers evaluate Tableau from a technical standpoint Play a critical role in helping our prospects understand the value of Tableau Lead POC & demos in order to expose customers to Tableau main features and capabilities Build outstanding relationships with existing customers, driving adoption of Tableau within accounts and resulting in customer success Troubleshoot technical challenges including management of our support ticketing platform via Zendesk Developing content for demos, training workshops, blog articles and webinars Conducting Tableau Workshop to Vision.bi customers in Hebrew or in English Collaborating with internal business functions – sales, marketing, data engineers teams and UX/UI specialists Qualifications : 2-3 years of experience working with Tableau and developing data visualization – Must BA – Must Fluent English – Advantage Proven pre-sales expertise – Advantage BI Course – Advantage Familiarity with SQL and relational databases Able to work independently and self-manage Capable to work in a dynamic and complex environment -Fluent Hebrew and English speaking, writing & reading is required -The position is located in Tel Aviv APPLY FOR TIS POSITION APPLY FOR THIS POSITION Full Name Email Phone Cover Letter Submit

Dataiku provides a unified platform to democratize AI for everyone. From business analysts to data scientists, collaborate seamlessly on all stages of your data and AI projects The Leading Platform for Everyday AI Dataiku: Streamline Your AI Journey Let's Talk! All-in-one data science and machine-learning platform Dataiku provides a unified platform to democratize AI for everyone. From business analysts to data scientists, collaborate seamlessly on all stages of your data and AI projects Generative AI Data Preparation Visualization Machine Learning DataOps MLOps Analytics Apps A Single Platform For Designed To Scale Collaboration Governance Explainability Arcitcture Security Extensibility Transformative Business Impact Data Preparation Connect, clean, and prepare data from any source with Model Building Craft and train diverse AI models visually or with code Deployment & Management Deploy models to production and monitor performance efficiently Collaboration Break down silos and enable teamwork across all roles Governance Ensure responsible and secure data usage with built-in tools Used by leading data-driven companies Get started for free! Visit Dataiku Website

Ecoppia is the world leader in robotic solar cleaning. Harnessing the power of automation, big data, and the cloud, Ecoppia’s technology changes the face of the solar industry. The company’s groundbreaking solution offers a cloud-based, connected platform and a suite of robotic solutions for smart management of solar plants. Ecoppia is the world leader in robotic solar cleaning. Harnessing the power of automation, big data, and the cloud, Ecoppia’s technology changes the face of the solar industry. The company’s groundbreaking solution offers a cloud-based, connected platform and a suite of robotic solutions for smart management of solar plants. Since 2013, Ecoppia has been empowering the solar power revolution by enabling year-round peak panel performance and lowering LCOE (levelized cost of energy). More recently, in December 2020 Ecoppia launched an initial public offering (IPO) on the Tel Aviv Stock Exchange (TASE), after successfully completing the public tender phase. Ecoppia secured $82.5 million from leading institutional investors with a company valuation of $300 million. The Challange Fully realizing the importance and value of harnessing the power of data, analytics and BI, Ecoppia engaged with Vision BI’s experts to create a data ecosystem that will provide significant value both internally and to its customers (leading energy players). Unlike most companies that use business data as a source of internal insights, Ecoppia built a data infrastructure at the core of their product, for their customers to receive BI on the performance of Ecoppia’s product. In fact, a significant part of the value that Ecoppia gives customers are the reports which give them clear visibility of cleaning performance and operation across their solar sites. Vision BI team created the perfect data infrastructure. Using best in class solutions for data lake and data warehousing, DataOps orchestration and dashboard visualization with Tableau. - Maayan Stern, Product Marketing Manager The Solution Building a BI solution on top of the initial data from the log of the cleaning robots was at the heart of the solution. Having Ecoppia’s data ecosystem centered around operational performance was the key. This data included activity reports of how much surface has been cleaned, alerts and reports on maintenance activity, part replacements and more. In addition, as an IoT device there are also external data points such as weather forecasts, salesforce reports or inventory insights that could be added to the mix to generate optimal customer reports. Vision BI team created the perfect data infrastructure. Using best in class solutions for data lake and data warehousing, DataOps orchestration and dashboard visualization with Tableau. This enables them to create all the necessary data processes to create all reports for the management team, and for their clients which are now able to know exactly what is happening on site and provides Ecoppia solid foundations to support their future growth. The visibility and insights Ecoppia provides their customers quickly became one of their unique selling points. In addition, Vision BI recommended the integration of Salesforce data as the optimal next step in their data roadmap. This now enables them to connect business performance to product performance – in addition to other external data points such as weather forecast. The Outcome Vision BI’s has been working hand in hand over the past two years with Ecoppia to help in the creation of an optimal data ecosystem and roadmap – as their true data partner. The team has now an automated infrastructure to inform the business in real-time with all the data they need. What’s more, client reports have been automated through a process that provides them with peace of mind – leveraging new knowledge on the status of their solar panels, and the potential for many more insights that are not related to cleaning but to the overall performance of their modules. Ecoppia is not only a data-driven company but they’re fast becoming a data company in its own right. The amount of insights that they collect across thousands of cleaning robots means that they are not only optimizing the use of data to inform their business and their customers – but also leveraging data at scale which will help them redefine the industry with unprecedented insights that will keep them ahead of the curve for years to come. Maayan Stern Product Marketing Manager

Snowflake delivers the Data Cloud – a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Your Snowflake Implementation Partners Snowflake delivers the Data Cloud – a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Vision.bi is one of the first Elite Service Partners in EMAE within Snowflake’s Partner Network As an Elite Partner, we bring additional technology, industry, and business experience for organizations to get the most value out of Snowflake’s platform. From helping the biggest insurance and financial institutions in Israel, to some of the fastest-growing tech startups, Vision.bi offers Snowflake professional services to help our clients build optimal data processes. Whether you need a kickstart package for snowflake, or would like to discover the endless possibilities within Snowflake’s Data Cloud, our expert teams of data architects and data engineers are here to help you seize the power of Snowflake MEET ARCTICA Introducing Arctica.ai – keeps tabs on your data lake costs, highlights hidden patterns and provides you with insights into your Snowflake usage. Arctica analyze your usage patterns, parse your queries (meta data) and provide new insights on your costs. Write your own custom rules that translate technical entities into business language. Furthermore, you can define thresholds and alerts to make sure everything is running as expected. For More Information VISION.BI, THE PERFECT SNOWFLAKE IMPLEMENTATION PARTNER Vision.bi is the leading Snowflake reseller and an Elite Partner of Snowflake across EMEA. In fact our Co-Founder was awarded the “Snowflake Person of The Year” at the Partner Summit in London. Vision.bi offers a wide range of Snowflake professional services to help organizations modernize their data infrastructure and build optimal data processes in the cloud. Vision.bi’s team of data engineers will help your team beyond snowflake implementation, training your team on Snowflake’s capabilities and helping organizations create the perfect data stack. Seize The Power of Snowflake With Vision.BI Tools & Resources Instant Elasticity Enable any amount of computing power for any number of users to get the performance and actionable insights you desire. Secure Data Sharing Unite your business units and collaborate with your partners via governed and secure data sharing in real time. Per-second Pricing Automatically scale back any amount of horsepower behind your workloads to eliminate the cost of an idle warehouse. Cross-region, Cross-cloud Replicate data across regions and clouds, keep data and apps where they are, operate confidently with failover and business continuity. Used by leading data-driven companies We know best how to maximize Snowflake’s huge potential in your organization Let's Talk

Data catalogs are a game changer when it comes to data access and analysis. Traditionally, data was accessed from a data warehouse and then analyzed by using BI tools like BusinessObjects and Cognos. However, with companies storing more data they can no longer be confined to just a data warehouse. Platforms like Hadoop have made it possible to expand data storage through the implementation of data lakes. Data Catalog Data catalogs are a game changer when it comes to data access and analysis. Traditionally, data was accessed from a data warehouse and then analyzed by using BI tools like BusinessObjects and Cognos. However, with companies storing more data they can no longer be confined to just a data warehouse. Platforms like Hadoop have made it possible to expand data storage through the implementation of data lakes. The departure from using a single location for data storage has resulted in a need to effectively access all the new data that a company collects and stores. Internal Data Data Lake Data Warehouse Entity Profile Reports & Dashboards THE CHALLENGE This kind of project is divided into two: the business process and the technical process. Both components come with their own kinds of challenges. At the business level, an organizational glossary is required in order for data cataloging to be effective. The glossary describes each of the key concepts within the company, how they are measured, who is responsible, where it can be found etc. A project of this type usually comes from the management and requires business understanding, the ability to lead processes with the various management personnel in the organization and the technical ability to connect the business language used to the level of data stored in the various sources of information. The technical process is more simple to implement and it is recommended to start here when there is no pressing need for a business glossary. This process involves the consolidation of all existing data sources in the company to a central metadata system which is why proper management of this system is required. If every piece of company data can now be accessed it would be reasonable to make sure that it is possible to manage who sees what. It is also worth considering adding additional technical information to the catalog, like loading frequency. WHY US ? Vision.bi has partnered with Alation, which is one of the leading data cataloguing service providers, as its official representative in Israel. In addition, Vision.bi has practical experience in large projects in Israel with informatics tools and in leading selection processes in order to adapt customers to the most suitable product. Want to learn more? Contact Us

Following the development of a data lake or warehouse through data collection, the stored data needs to be put to good use through effective front end development. This important stage is where user interface is built. Whether you’re developing an interface for users within the company and using a shelf tool like Tableau or establishing your own dashboards, it is the point where your work meets your end users. Reports & Dashboards Following the development of a data lake or warehouse through data collection, the stored data needs to be put to good use through effective front end development. This important stage is where user interface is built. Whether you’re developing an interface for users within the company and using a shelf tool like Tableau or establishing your own dashboards, it is the point where your work meets your end users. Internal Data Data Lake Data Warehouse Entity Profile Reports & Dashboards THE CHALLENGE There are a lot of variables included in the process of correctly implementing front end development tools. Choosing the most suitable tool includes matching the data volumes and the technology in which the data is stored, adapting to the user’s needs, an innovative and interesting design, as well as coherence to and understanding of the boundaries of the tool’s layout. There also needs to be an understanding of what is possible to create and what is not. Improper use of front end development tools is a major cause of failure. Front end development is a demanding profession which requires deep, comprehensive thought. WHY US ? The best way to push the boundaries of design and bring a quality product to users is to allow the designer to design the reports. That’s how we work, combining tech savvy people with designers to bridge the gaps that already exist at the design state. Want to learn more? Contact Us

Since 2008, Vision.bi has been working on projects that change the way companies treat data. During this time, our data engineering professionals have delivered hundreds of high-standard, large-scale analytics projects to more than 200 startups and enterprise organizations. Passionate about data visualization and EXPERIENCED TABLEAU DEVELOPER Full Time Since 2008, Vision.bi has been working on projects that change the way companies treat data. During this time, our data engineering professionals have delivered hundreds of high-standard, large-scale analytics projects to more than 200 startups and enterprise organizations. Passionate about data visualization and storytelling? excited to learn every day, solve complex problems and never be bored? Join US! Responsibilities: Translating business requirements into clear and actionable Tableau dashboards Work collaboratively with data engineering, product manager, IT teams and business stakeholders Hands-on with Tableau desktop (developing and implementing reports, dashboards & visualizations) Hands-on with Performance optimization, Query optimization Must have: BA in Industrial engineering, Computer Science, Information Management or other relevant fields. 1-2 years of developing dashboards using Tableau. High level of SQL and RDBMS. In depth understanding of data visualization concepts, best practices and data storytelling. Proven experience of working with large volume production environments. Team player with good interpersonal and presentation skills with an ability to work in highly dynamic environments. Nice to have: Tableau Server and Desktop certification Familiarity with Data management adds-on and Noddle functionality Familiarity with Tableau embedding solutions including authentication methods Familiarity with Tableau server setup and installation in both Linux and Windows environments Technical expertise regarding data models, database design and development Familiarity with other data visualization tools (e.g. Qlik, Looker, Power BI, OBIEE, Sisense) To All Jobs

Data warehousing technologies have advanced dramatically in recent years. These offerings have shifted from basic data integration and processing systems to advanced analytical systems of processed data that deliver deep company insights. Data Warehouse Data warehousing technologies have advanced dramatically in recent years. These offerings have shifted from basic data integration and processing systems to advanced analytical systems of processed data that deliver deep company insights. Much of the processing takes place in the Data Lake and the data warehouse becomes an “information consumer” like many other applications that use the Data Lake. However, the importance of the data warehouse is not lost or diminished, it is still where business specific processes and modeling occurs. It is positioned as the company’s informational center and “single source of truth”. Internal Data Data Lake Data Warehouse Entity Profile Reports & Dashboards THE CHALLENGE As one of the leading companies in the field of data warehouse construction over the last decade we have addressed many of the challenges associated with these processes. The technological challenges in dynamic information processing as well as intelligent data modeling can be addressed in a way that provides answers to a wide range of business questions. However, like many situations in BI, the biggest challenge is proper alignment of business needs to the appropriate technological solution. Solving for each unique business challenge is a simple task, but implementing a comprehensive solution while communicating successfully between the teams that have worked to establish a successful data warehouse is a more significant challenge WHY US ? We have conducted over 150 different data warehousing, self-service system, OEM system and data lake projects for various information platforms. We bring rich technological experience and experts who understand how to translate a business’ needs into the appropriate technological systems. Want to learn more? Contact Us

Operational system use within a business is extensive and varied, with each system responding to its own requirements and specializing in a particular field. Companies today tend rely on different systems for each particular business need they have. Common business practices that rely upon specialized systems include: Customer Relationship Management (Sales Force), Customer Service and Support (Zendesk), Billing (Zuora) etc. Internal and External Data Operational system use within a business is extensive and varied, with each system responding to its own requirements and specializing in a particular field. Companies today tend rely on different systems for each particular business need they have. Common business practices that rely upon specialized systems include: Customer Relationship Management (Sales Force), Customer Service and Support (Zendesk), Billing (Zuora) etc. Aside from internal company data, there is a lot of external data that exists outside of the company that can be valuable if used correctly. This data includes social network data, weather, public events, demographics, and more, all of which can be used to help shape the next product launch or marketing campaign. Internal Data Data Lake Data Warehouse Entity Profile Reports & Dashboards THE CHALLENGE Interpreting data from operating systems is not straightforward, it requires familiarity with the systems and with how to connect them. To add to the complexity, the stored data is not always readable or easy to retrieve and the systems work independently from each other. After successful data extraction, it’s important make sure everything is in sync since data is flowing in from multiple sources (including external sources). Most of these external systems are cloud based and have their own unique APIs. Integrating these external systems and their data with internal company data while displaying everything in one uniform and insightful way is not easy. WHY US ? Vision.bi has vast experience with integrating operational systems. We are familiar with over 40 APIs and when we encounter new systems we are quick to adjust. To help ensure quick and reliable data integration we have developed a product called Rivery that gathers useful external data and even loads it into cloud databases. Leverage our experience to save valuable time in trying to understanding a specific API, integration development, or data processing. Want to learn more? Contact Us

We are passionate data engineers and software developers who change the way organizations treat data. BI STUDENT POSITION Part Time (3-4 Days) We are passionate data engineers and software developers who change the way organizations treat data. Since 2008 we have been delivering numerous high-standard and large-scale analytics’ projects for more than 200 customers, startups and enterprises. Excited to learn every day, solve complex problems and never be bored? Join US Responsibilities include: Translating business requirements into clear and actionable Tableau dashboard Develop and maintain Tableau dashboards for multiple clients on top of multiple data sources Collaborate closely with data engineering teams, product managers and UI/UX specialists inside and outside the company Qualifications: 3rd year student in Industrial Engineering and Management – Must 3-4 days a week -75-80% (we have flexible working hours) SQL knowledge – Must