לוח משרות דרושים Business Intelligence

We are seeking a highly motivated and experienced end-to-end Business Intelligence developer, for the design and development of Enterprise BI solutions, including Data Processing, Data modeling and Reporting, mostly with Microsoft tools.
In this role, you have the opportunity to
Collaborate with leaders and stakeholders across in order to develop and deliver end-to-end analytics solutions to enable business insights and decisions. You will be the subject matter expert in creating interactive visualizations and automated reporting to support shared business goals. You will be a part of a high-functioning and collaborative Business Intelligence & Analytics team.
You are responsible for:
Manage the data and QA engineers in order to deliver effective Business Intelligence Analytics & Reporting
Translate business requirements into technical specifications
Take ownership of the data warehouse and data integrity loaded into it
Monitor the development and maintenance of the ETL processes
Design data warehouse, including staging, fact, dimensions, and data models and reports in the semantic layer
Manage the quality of code within the BI team
Conduct performance reviews with the data and QA engineers
Set team objectives and monitor progress towards achieving them
Coach and mentor the data and QA engineers
Manage own professional and self-development
Provide technical assistance as necessary to end-users as well as development staff.

We are seeking a highly motivated and experienced end-to-end Business Intelligence developer, for the design and development of Enterprise BI solutions, including Data Processing, Data modeling and Reporting, mostly with Microsoft tools.
In this role, you have the opportunity to:
Collaborate with leaders and stakeholders across Varonis in order to develop and deliver end-to-end analytics solutions to enable business insights and decisions. You will be the subject matter expert in creating interactive visualizations and automated reporting to support shared business goals. You will be a part of a high-functioning and collaborative Business Intelligence & Analytics team.
You are responsible for:
Business Intelligence Analytics & Reporting, mostly for Finance and Sales departments, including the following activities:
Develop and maintain advanced reporting, analytics, dashboards, and other BI solutions using tools available in the landscape including and not limited to Power BI and Fabric.
Perform and document data analysis, data validation, data mapping/design, produce data samples/prototypes and produce ad hoc reports.
Obtain and analyze data by accessing multiple sources.
Demonstrate strong querying skills include SQL and DAX to enable agile data analysis and data preparation for front-end BI implementation.
Provide technical assistance as necessary to end-users as well as development staff.

Were looking for an experienced Senior BI Engineer to join our BI Data Platform team in TLV.
As a Senior BI Engineer, you will play a pivotal role in the organization's data platform and analysis. You will lead the design, development, and maintenance of BI solutions that empower stakeholders across the company and contribute to informed decision-making processes while leveraging your extensive experience in business intelligence.
This is an excellent opportunity to be part of establishing our BI data platform, implementing cutting-edge technologies in a cloud environment.
In this role youll:
Lead the design and development of scalable and efficient BI solutions that align with organizational goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs
Implement ETL processes to ensure the extraction, transformation, and loading of data from various sources into the BI platform
Identify and address performance bottlenecks within BI solutions, optimize queries, and enhance data retrieval efficiency
Implement best practices for DWH and database performance tuning
Conduct thorough testing of BI applications and implement robust validation processes
Collaborate with data engineers, developers, ML engineers, data scientists, analysts and product managers
Share knowledge with other team members and promote BI standards.

Were looking for an experienced BI Engineer to join our BI Data Platform team in TLV.
As a BI Engineer, you will play a pivotal role in the organization's data platform and analysis. You will lead the design, development, and maintenance of BI solutions that empower stakeholders across the company and contribute to informed decision-making processes while leveraging your extensive experience in business intelligence.
This is an excellent opportunity to be part of establishing our BI data platform, implementing cutting-edge technologies in a cloud environment.
In this role youll:
Lead the design and development of scalable and efficient BI solutions that align with organizational goals and requirements
Utilize advanced data modeling techniques to create robust data structures supporting reporting and analytics needs
Implement ETL processes to ensure the extraction, transformation, and loading of data from various sources into the BI platform
Identify and address performance bottlenecks within BI solutions, optimize queries, and enhance data retrieval efficiency
Implement best practices for DWH and database performance tuning
Conduct thorough testing of BI applications and implement robust validation processes
Collaborate with data engineers, developers, ML engineers, data scientists, analysts and product managers.

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 Collaborate with cross-functional teams to understand business requirements, data needs, and project priorities, ensuring alignment of data engineering and BI initiatives with strategic objectives Work closely with business users to define KPIs, metrics, and performance indicators, ensuring alignment with strategic objectives and business priorities Develop and maintain interactive dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or similar platforms Extract, clean, transform, and load (ETL) data from various sources such as databases, APIs and spreadsheets to support reporting and analysis activities Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency Provide training and support to end-users on BI tools and dashboards, empowering them to self-serve and explore data-driven insights Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices 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 computer science, Engineering, Mathematics, Statistics, or related field - Must (Advanced degree an advantage)
* 3+ years of experience in business intelligence, data analysis, or a related role, preferably in a consulting or corporate environment- Must
* Proficiency in BI tools such as Power BI, Tableau, AWS QuickSight, or similar platforms, with hands-on experience developing interactive dashboards and reports Must
* Strong analytical skills, with the ability to analyze complex data sets , draw meaningful conclusions, and communicate insights effectively to stakeholders - Must
* Knowledge of data visualization best practices , including design principles, usability, and accessibility standards - Must
* Familiarity with programming languages such as Python or R for data analysis and visualization
* Ability to collaborate with cross-functional teams and stakeholders at all levels of the organization
* Strong attention to detail, with a focus on data accuracy, completeness, and reliability
* Ability to work independently and as part of a team in a fast-paced environment
* Exhibit problem solving skills, strategic thinking, and anticipate future trends and challenges A Bonus
* Familiarity with Fair Lending regulations such as the Equal Credit Opportunity Act (ECOA), Fair Housing Act (FHA), and Home Mortgage Disclosure Act (HMDA) or other consumer financial protection laws and regulations preferred
* Certification in business intelligence, data analytics, or related field an advantage
* Experience in the financial service sector an advantage
* Experience with big data technologies and frameworks for large-scale data processing and analytics an advantage
* Understanding of industry-specific data and business processes in sectors such as finance and credit an advantage
* Experience with data modeling, data warehousing, and ETL processes an advantage
*  Experience working with cloud-based BI solutions such as Microsoft Azure, AWS, Google Cloud an advantage Why join us Cross River Technologies develops software infrastructure for the fintech industry. Providing innovative technological solutions f

Our company is a globally leading company in financial services technology solutions, offering cutting-edge trading technology.
Our headquarters are located in Ramat Gan.
We are looking for a highly motivated and experienced end-to-end business intelligence Developer, to manage and design advanced BI solutions, data modeling, and reporting, mostly in QlikView.
The BI Developer will:
* Lead the development efforts end to end throughout the entire cycle, work with the various stakeholders and understand their needs, gather business requirements, write specifications, and develop reports and data models.
* Create real value from data and communicate it to the different stakeholders.
* Become the main focal point for business users as the BI Expert.
* Work closely with business and department owners to define and measure business metrics, key performance indicators, and success criteria.
* Build, support, and maintain data models, reports, and dashboards as well as find creative solutions for a variety of challenges facing our growing data requirements.

As a BI Data Analyst, you'll play a critical role in analyzing and transforming mobility data into actionable insights. Collaborating closely with stakeholders, you'll gather requirements, design visualizations, and optimize data processes for informed decision-making.
Key Responsibilities:
Utilize BI analytics tools like AWS QuickSight, Domo, Tableau, and Heap for impactful charts, graphs, and dashboards.
Implement and optimize ETL processes for accurate and timely data delivery.
Collaborate with cross-functional teams to translate business requirements into meaningful KPIs and metrics.
Conduct data quality assessments, cleansing, and validation for accuracy and consistency.
Provide actionable recommendations based on data analysis to support strategic decision-making.
Stay updated with industry trends and best practices in BI, data analytics, and visualization.

We are looking for a BI Team Lead.
Responsibilities:
Inspire, lead, mentor, and support the growth and development of your team.
Hands-on approach
Communicate vision and insights in a way that resonates with partners and executive leadership and turn theory into action.
Define and measure Key Performance Indicators for internal and external stakeholders.
Identify & analyze large, complex data sets to address strategic and operational business gaps and suggest solutions to impact the business KPIs.
Drive the design, building, and launching of the next generation of the BI approach.

We are looking for a BI Developer.
Responsibilities:
Collecting data from all relevant partners and reflect financial data in the system and analyze financial data,perform multiple scenarios, build models and identify trends
Extract major insights and conclusions from the analysis
Provide relevant key partners with main takeaways and recommendation
Supporting the business in decision making.

We are looking for a ETL Developer.
Responsibilities:
Develop ETL processes from multiple sources.
Design and produce automatic reports and advanced interactive dashboards.

We are looking for a Bi System Analyst.
Responsibilities:
Gathering and design unique and simple solutions to meet immediate and long- term need of business customers.
Translate business requirements to detailed design documents, using data mapping, diagrams, business logic for developers and testers for new projects and supporting existing processes.

Required Business Intelligence Engineer
DESCRIPTION
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:
Collaborate with cross-functional teams to understand business requirements, data needs, and project priorities, ensuring alignment of data engineering and BI initiatives with strategic objectives
Work closely with business users to define KPIs, metrics, and performance indicators, ensuring alignment with strategic objectives and business priorities
Develop and maintain interactive dashboards, reports, and data visualizations using BI tools such as Power BI, Tableau, or similar platforms
Extract, clean, transform, and load (ETL) data from various sources such as databases, APIs and spreadsheets to support reporting and analysis activities
Perform in-depth data analysis to identify trends, patterns, and insights that drive business decisions and improve operational efficiency
Provide training and support to end-users on BI tools and dashboards, empowering them to self-serve and explore data-driven insights
Be committed to diversity, equity, and inclusion, with a passion for promoting fairness and equality in lending practices.