לוח משרות דרושים Business Intelligence

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.

We are lookong for a data Analyst to join our data team. We're looking t for a creative, smart, team member
Responsibilities:
Create, implement, and maintain customized dashboards and other business intelligence ( BI ) platforms for our valued customers.
data -Driven Insights - Apply advanced analysis
Lead the charge in data collection procedures and streamlining the post-processing of structured and unstructured data.
Work closely with data science, product, engineering, and UX / UI teams to deliver user-friendly, informative analytical interfaces.

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

We are looking for a Senior BI Developer.
In this role, you will be responsible for the design and implementation of data solutions end-to-end using a variety of tools and technologies. If data is your passion, if you see data and think how to tell the story behind it, if you like to find business insights and make them accessible to users your place is with us.
We Are Looking for People Who Are:
- Passionate about data
- Proactive with a Can-do approach
- Hands-on attitude
- Ability to work independently and multi-task to meet deadlines
- Strong communication skills
Responsibilities:
- Own the data development process and methodology end-to-end, including: business understanding, data extraction, transformation, analysis, modeling, visualization, validation, QA, and maintenance.
- Design, develop and optimize the data pipelines, complex ETL processes and data-driven solutions
- Work closely with business stakeholders across the company to understand their needs and provide an end-to-end BI solution
- Work with databases and provide back-end solutions from the design phase, thru development, and up to the implementation
- Analyze data and create business insights
- Develop and maintain reports and BI dashboards using Tableau.