דרושים » תוכנה » Senior Data Analyst

We are looking for passionate and experienced data Analyst who will join our team and lead our Disruptive product in the B2C channel.
The ideal candidate should be able to develop effective and efficient data analysis solutions, interpret and communicate data -driven insights for decision-making, and support data -driven initiatives to reach business objectives.
Be at the forefront of our customer acquisition efforts.
Determine customer metrics, identify opportunities, and lead the company to meet its performance goals.
Own and manage a large marketing budget across multiple channel partnerships and multiple points of sale.
Define and implement bidding strategy by working closely with the data Science and Analytics team.
Constantly perform deep-dive analysis to discover business trends & opportunities A/B testing to optimize performance.
Work collaboratively to support multiple stakeholders in the company - provide suggestions and recommendations to different managers and teams during the decision-making process.

Were seeking a dynamic, highly motivated, organized data analyst to join our quickly growing team!
**Temporarily a remote position due to the war **
The ideal candidate will play a key role in analyzing large sets of data, extracting key insights to inform decision making and drive continued growth of the business. This role will report into marketing and will work closely with cross-functional teams including product to identify trends, develop recommendations, and improve our outcomes.
If you have a track record analyzing and finding trends across large sets of data, are passionate about your role, and enjoy working in a supportive and entrepreneurial environment we want to hear from you.
Responsibilities:
Collaborate with key stakeholders to define KPIs that align with business objectives
Partner with engineering and product team to define data gaps and build necessary events for robust, actionable reporting
Collect, clean, and process data from various sources, stitching together where necessary, to ensure accuracy and consistency
Perform deep analysis to uncover patterns, correlations, and trends, and share with key stakeholders
Develop and maintain dashboards, reports, and visualizations to communicate findings and insights effectively and efficiently
Support the eventual implementation of a CDP (customer data platform), ultimately becoming the day to day owner
Recommend and implement new methods and techniques to collect and enrich our dataset
Conduct ad hoc analysis to support strategic initiatives, product development, and various marketing campaigns
Perform regular analysis of our platform usage, leveraging for trend reports, PR opportunities, and other storytelling opportunities
Regularly monitor data quality and integrity, implementing solutions to address any issues or discrepancies including recommendations to enrich data
Stay abreast of industry trends, best practices, and emerging technologies in data analytics and SaaS.

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 growing and are looking for future workers who value personal and career growth, team-work, and winning!

As part of our rapid growth we are looking for a Product Analyst to join the data group in our product department.

What your day will look like:
Collaborate with members of the Product, Engineering and Data teams to improve business decisions using data, identify process improvement opportunities.
Assist the product team in improving presented value, propose system modifications, and devise data governance strategies.
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring.
Extract and analyze data coming from our product, using different data platforms and tools (Snowflake, Python, etc.).
From your analysis, generate content and configurations that would then be loaded into our production engines to deliver improved customer value.
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 and customer value forward.
Become the focal point for all data related matters in your projects, own and manage multiple data projects on an on-going and an ad-hoc basis.
Develop automated solutions to collect and extract data from external sources to accelerate manual operations.

Required Product Analyst
As a Product Data Analyst, you'll play a crucial role in shaping our product roadmap. We're looking for a passionate analyst who is comfortable with analytics, someone who understands how to use large data sets to solve real-world business problems. Someone who thrives on providing technical expertise to quickly deliver insights to the business. We view this role as a trusted advisor to our internal business partners to help them make decisions around strategy, priorities, and tactics.
This will involve:
Collaborating closely with multiple cross-functional teams including product managers, data engineers, business intelligence analysts, product engineering, product marketing and strategy.
Recommending and executing analytics projects - ranging from exploratory data analysis, descriptive statistical methods, experimentation, multi-variate testing and conducting user research.
Ensuring our product feature instrumentation is aligned towards company and product goals, is aligned to best practices and data governance standards.
Quantifying and easily communicating the drivers of business performance to senior leaders. Advising them on ways to change outcomes through recommended calls-to-action, operational and strategic changes.

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
UVeye is looking for an experienced Data Analyst to join our Data team As our Data Analyst, you'll play a pivotal role in cleaning, analyzing static data, and contributing to the success of our data-driven culture.
A day in the life and how you’ll make an impact:
* Perform thorough cleaning and analysis of static data, ensuring accuracy and reliability.
* Conduct statistical and exploratory analysis to uncover patterns, trends, and key insights.
* Create insightful reports and visualizations that effectively communicate complex findings to various stakeholders.
* Work directly with stakeholders to understand their data needs and collaborate in making informed, data-driven decisions.

Required Data Analyst
Description
What makes us unique?
This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if youre willing to do more, your career can take off. We are a leading SaaS company for the field service industry, one of the most recession-proof and lucrative industries today.
We are located in the heart of Tel Aviv, just a short walk from Rothschild Boulevard. Youll find everything you need to focus or work collaboratively with your colleagues in our brand-new, beautifully designed open office space. When were not hard at work, you will find us in our awesome game room with a ping pong table, a comfy lounge, and video games for the ultimate afternoon break. We recognize you have a life outside the office, our workweek is flexible and hybrid, but you wont want to miss happy hour!
Who are you?
You are a highly analytical and detail-oriented individual who is passionate about data and its ability to drive business decisions.
You have a strong understanding of data modeling and are comfortable working with large and complex data sets.
You are a self-starter and a can-do approach who is able to work independently and as part of a team, and you have excellent communication skills that allow you to clearly and effectively communicate data insights to non-technical stakeholders.
So, what will you be doing all day?
Collect, process, and analyze large amounts of data (specifically marketing, sales, operations & CS) to identify trends, patterns and insights with different stakeholders (Israel and US).
Develop dashboards, reports, and alerts to visualize data and communicate findings to stakeholders
Work with cross-functional teams to develop and implement data-driven solutions to business problems
Perform ad-hoc analyses to support strategic initiatives and business decisions
Develop and maintain data models and data pipelines to ensure data accuracy and consistency
Monitor and maintain data quality, identify data inconsistencies, and work with stakeholders to resolve issues
Identify opportunities for process improvements and automation
Stay up-to-date with industry trends and best practices in data analysis and visualization.

We are looking for a passionate analytics team lead to join our fast-growing analytics department. Using your analytical skills and leadership abilities, your mission will be to guid a team of analytics experts, help them to tell the story behind numbers, and translate data based insights into actionable business recommendations.

Responsibilities:
Lead, manage and motivate a team of business analysts, to help the company improve its business performance.
Consistently monitor the company KPIs and raise flags if needed.
Set the standard for best practices in the analytics world. Suggest new methodologies, processes and tools to analyze large data sets.
Work closely with the different business units, measure and identify hidden opportunities.
Take a key role in the companys decision making process, by leveraging data into business actions.
Initiate and lead a data driven culture.

We are looking for a highly motivated and experienced Business Intelligence Analyst & Developer to join our BI team, work with internal customers to understand and articulate business processes, map them to business intelligence requirements, and implement them into indicators, reports, and dashboards.
As a member of the BI Development and Analysis team, you will design, build, and maintain reports and dashboards to monitor company, product, and business performance and KPI's.
The BI developers work with other team members from across the world to develop BI solutions and provide support to the BI systems and ongoing advanced analysis needs.
This includes understanding the data and where to get it, extracting the data, processing it, optimizations, and turning data into insights and graphical representation in the BI platform (Tableau).
If you embrace data analytics and have the passion to transfer data into information, information into insight, and insight into smarter business decisions, your place is with us!
Role main Responsibilities:
Leading BI Projects starting from requirement analysis, design, and creating ETL processes, Tableau data sources, dashboards, and reports.
Performing in-depth analysis of our Indigo press performance
Lead iMPACT changes and deployment of new requests and fixes.
Build and define new press performance KPIs.
Develop and maintain BI platforms (Tableau)