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נאספה מאתר אינטרנט
23/05/2024
חברה חסויה
Location: Merkaz
Job Type: Full Time
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.
Requirements:
A bachelor's degree (BA/B.Sc.) in a field emphasizing statistical and analytical skills, such as industrial engineering, statistics, math, economics, or an equivalent field. 5 years of experience as a data Analyst. 5 years of rock-solid experience in Python. SQL Expertise: at least 2 years of proven experience with BI tools like Tableau, Power BI, etc. strong background in applied descriptive statistics. Fuent in English, both in writing and verbally.
This position is open to all candidates.
 
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פורסם ע"י המעסיק
09/06/2024
חברה חסויה
Location: Jerusalem
Job Type: Full Time
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
Requirements:
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
09/06/2024
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for an experienced Senior Data Engineer to join our 'Data & AI' group. As a key member of our team, you will play a crucial role in designing and building data models, developing infrastructure, and optimizing data processes to support our data analysis, data science and engineering teams. You will collaborate with various stakeholders to ensure efficient data ingestion, processing, and analysis, contributing to the overall success of our data-driven initiatives.
Key Responsibilities:
Design and build robust data models and infrastructure to support data science and engineering teams.
Develop and optimize data processes, including ETL/ELT pipelines, for efficient data ingestion and processing.
Identify and understand business processes to derive actionable insights from the data.
Collaborate with BI analysts to create comprehensive reports and dashboards.
Implement and maintain scalable data solutions in a high-volume production environment.
Utilize modern technologies such as M3DB, Open-Search, Grafana, etc., for data processing and analysis.
Lead design initiatives for new products and contribute to best practices.
Work closely with cloud providers like AWS for data storage, computation, and orchestration.
Stay updated with advancements in data engineering, big data, and cloud technologies.
Requirements:
Bachelor's degree in computer science, engineering, or a related field.
5+ years of hands-on experience in data engineering and BI development.
Proficiency in SQL and Python for data manipulation and pipeline development.
Experience with complex ETL/ELT processes and big data technologies
Experience with Airflow.
Strong analytical skills and attention to detail
Excellent communication and collaboration abilities.
Preferred Qualifications:
Experience with machine learning algorithms and AI implementation.
Previous work with distributed systems, real-time analytics, and data visualization tools.
Familiarity with the AWS cloud platform and big data technologies.
Experience with Spark, Kafka, Elasticsearch, DynamoDB, and K8s.
This position is open to all candidates.
 
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פורסם ע"י המעסיק
09/06/2024
חברה חסויה
Location: Jerusalem
Job Type: Full Time
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
Requirements:
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
23/05/2024
חברה חסויה
Location: Jerusalem
Job Type: Full Time and Hybrid work
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.
Requirements:
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.
This position is open to all candidates.
 
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פורסם ע"י המעסיק
3 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Product data Analyst in the AI Team, you will play a crucial role in transforming complex data into actionable insights that drive our AI-driven product features. You will collaborate with cross-functional teams to analyze user behavior, develop key performance metrics, and support the continuous improvement of our AI applications. Your work will directly influence product strategies and enhance user experiences for millions of sports fans globally.
Responsibilities:
* Conduct in-depth analysis of large datasets to identify trends, patterns, and insights that support product decisions and strategies.
* Develop, track, and maintain key performance indicators (KPIs) to evaluate the effectiveness of AI features and overall user engagement.
* Design, implement, and analyze A/B tests to assess the impact of new features and optimizations.
* Create and maintain detailed reports and interactive dashboards to communicate findings and monitor product performance.
* Work closely with product managers, data scientists, engineers, and other stakeholders to integrate data -driven insights into product development processes.
* Conduct user research and usability studies to gather qualitative data, complementing quantitative analysis.
* Ensure the accuracy and consistency of data collected from various sources and support data cleaning and preprocessing activities.
* Utilize Machine Learning models and statistical techniques to predict user behavior and identify opportunities for product enhancements.
* Maintain clear and comprehensive documentation of methodologies, analyses, and processes to ensure reproducibility and knowledge sharing.
Requirements:
* Proven experience (3+ years) as a data Analyst, preferably within a product or technology-focused company.
* Proficiency in SQL, Python, R, and data visualization tools such as Tableau or Power BI. Experience with Machine Learning frameworks is a plus.
* Strong analytical and problem-solving skills with a data -driven approach to decision-making.
* Excellent verbal and written communication skills, with the ability to translate complex data insights into actionable recommendations for non-technical stakeholders.
* High level of accuracy and attention to detail in data analysis and reporting.
* Ability to work collaboratively in a cross-functional team environment.
* Ability to thrive in a fast-paced, dynamic environment and manage multiple projects simultaneously.
* Bachelors or Masters degree in data Science, Statistics, Computer Science, Engineering, or a related field.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
16/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a sharp and passionate Business Analyst to join our top-notch analytics team. Using your technical and analytical skills, your mission will be to tell the story behind the numbers, understand how players interact with our games, and leverage our data to propose new ideas that youll then see implemented.

Responsibilities:
Analyze large, complex data sets to solve business questions and be a data-oriented users behavior expert.
Plan, create & implement day-to-day events and promotions strategies based on users' behavior analysis.
Build automated dashboards and reports to facilitate company-wide awareness and understanding of key business metrics and players' experience.
Coordinate with designers and product teams to execute monthly events and promotions across all our game platforms.
Recommend new ways to optimize and maximize game revenues.
Requirements:
Requirements:
Minimum of 4 years of experience in business analysis, product analysis, or a related field.
At least 4+ years experience in B2C or 2+ years in Gaming Industry analyzing large datasets centric role.
B.A. / B.Sc. in Industrial Engineering, Math, Statistics, Computer Science or an equivalent background.
Strong SQL with experience in querying large complex data sets - must have.
Experience with BI Visualization tools (Tableau/Looker) - must have.
Vast knowledge in A/B testing including statistical methods.
Work experience analyzing large datasets in an Analytics / Product / Monetization centric role- Advantage.
Experience with Python (Pandas, SciPy, NumPy, Matplotlib, Seaborn) Advantage.

Soft Skills Requirements:
Thrive in an environment of a fast-growing startup.
Ability to turn complex concepts into actionable recommendations.
A true passion for understanding consumers social gaming behavior.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
22/05/2024
חברה חסויה
Location: Ramat Gan
Job Type: Full Time
We are looking for a passionate and experienced Data Analytics Team Lead to join our dynamic data group. You'll be a leader who thrives on both in depth data analysis and guiding a high performing team. By collaborating with leaders across the organization, you'll drive impactful data driven insights.
Responsibilities:
Data Analysis: Derive meaningful insights and actionable value from data and effectively communicate it to diverse stakeholders. Collaborate closely with Management, Product managers, Marketing, Sales, R&D and other teams; Develop and refine metrics and KPIs to effectively measure performance and impact of initiatives
Dashboards: Lead the Implementation & maintenance of dashboards for self service analytics and reporting capabilities
Team Leadership: Manage a data analyst team, including hiring, training, and performance development.
Analytics Guild Leader: Play a leading role in building the capability of a geographically distributed analytics team, bringing significant expertise, and actively coaching and mentoring others to increase overall analytics domain impact
Stakeholder Management: Lead the engagement for Data & Analytics with business leaders to identify and prioritize analytics projects and initiatives, as well as define business requirements and specifications; Balance handling ad hoc requests while also driving larger projects forward.
Collaboration: Collaborate seamlessly with BI Dev & Data Engineering teams to ensure data sources are accessible and well organized
Innovation: Research and evaluate new data sources, technologies, and methodologies, and implement best practices and innovations in analytics
Requirements:
5+ years of relevant working experience as a Data/Business/Product/ Analyst - A must
Proficient in using various analytics software, tools, and languages, such as SQL, Looker Tableau, Python, R, etc.
Leadership experience with the capability to manage and inspire a distributed team
Excellent communication and presentation skills, with the ability to summarize and clearly communicate data analysis assumptions and results to diverse audiences
Customer focused and results oriented, with the ability to manage multiple projects and stakeholders in a fast paced and dynamic environment
Self starting and proactive with a passion for delivering quality
Advantages :
Experience in A/B testing concepts, tooling and methodologies
Experienced with MPP columnar databases like Bigquery/Snowflake/Redshift or similar
Experienced with statistical data modeling
Travel and/or e-commerce industry experience
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
20/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a highly skilled and motivated Cyber Data Analyst to join our dynamic team.
The ideal candidate will be proficient in working with both structured and unstructured data, utilizing a variety of databases including GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
This role involves leveraging Python to explore data, extract insights, present trends, and make predictions.
Responsibilities:
Advanced Data Exploration: Apply Python and statistical tools to deeply explore structured and unstructured data across various database technologies (GraphDB, VectorDB, ColumnDB, Elasticsearch, and NoSQL).
Insight and Trend Analysis: Extract meaningful insights from complex data sets to identify trends, patterns, and anomalies.
In-depth Research: Research up-to-date threat-intelligence repositories and automate data enrichments into the platform.
Data-Driven Cybersecurity Analysis: Utilize advanced statistical methods and mathematical modeling to analyze data for potential threats and vulnerabilities, focusing on patterns and anomalies that could indicate security incidents.
Collaborative Insight Sharing: Work alongside cross-functional teams to communicate complex data findings. Prepare and present reports that translate intricate data insights into actionable intelligence for both technical and non-technical stakeholders.
Continuous Skill Enhancement: Stay updated with the latest statistical methods, data analysis techniques, and advancements in AI, including machine learning and deep learning, to continually improve cybersecurity data analysis practices.
Requirements:
Proven experience working with structured and unstructured data, and familiarity with databases such as GraphDB, VectorDB, ColumnDB, Elasticsearch, and other NoSQL databases.
Expertise in Python for data exploration, analysis, and visualization.
Solid understanding of cybersecurity principles and experience in applying them to data analysis.
Experience in machine learning, deep learning, and large language models is highly desirable.
Strong analytical and problem-solving skills, with the ability to communicate complex data insights clearly and effectively.
Excellent collaboration and communication skills, with a proven track record of working effectively in team environments.
Bachelors degree in Computer Science, Cybersecurity, or a related field is a plus.
Cybersecurity threat intelligence background and proficiency in webint is a plus.
This position is open to all candidates.
 
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נאספה מאתר אינטרנט
19/05/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are a global leader of iLottery solutions and services to national and state-regulated lotteries.

We are part of the Group, an iGaming powerhouse with 1100 employees spread across 8 countries.

we pride ourselves on our People first culture. Not only has it been a core value in our organization for as long as we can remember but it also runs in our DNA and is felt in every aspect of our operations.

The Core Product department owns the groups product strategy and is looking for a Data Product Manager to be part of data product team and coordinate the development of the data products spanning the central data lake, modern reporting & analytical tools, and automation.

The chosen candidate needs to be passionate about designing robust data-driven products to deliver insightful analytics and digitalization for efficient processes across the group and its customers.
What You'll Do
Responsibilities: Be a Data expert and have a deep understanding of how the data works; data producers, ELT/ETL process, data consumers, data quality, data architecture, analytics, machine learning, and cloud services.
Leading the entire Data product lifecycle: product roadmap, maintain frequent communication with different clients to understand business needs and translate these to PRDs, Features and User Stories, Interface with data engineers and QA, finalize the delivery and launch of innovative products.
Work closely with the rest of the product organizations on new initiatives to facilitate the requirement gathering process early on.
Contribute to the overall data architecture, including the investigation of data assets, technical platforms, integrations, and processes across functions, documenting the knowledge gathered.
Be a hands-on product manager involved deeply in the day to day of the data engineering team.
Oversee implementation and release workflow and deadlines.
Responsible for the Agile framework (dailys, sprint planning, retrospective).
Work with Marketing to provide Data & BI platform awareness and guides - both internally and externally.
Requirements:
1-2 years of experience as a Product Manager/Owner of a data product, working with data & analytics solutions (Data Lake/DWH/ Cloud Service).
Experience in a similar role within the iGaming industry. Sportsbook Data and BI experience would be highly beneficial.
BA/B.Sc. in Industrial Engineering, Economics, Information Systems, Computer Science/Engineering, Information Technology, or another quantitative field.
Understanding how the products use cases affect data modeling, data infrastructure, and data analytics.
Working experience with Snowflake, Azure SQL Datawarehouse.
Prior experience in leading the development of Data products leveraging ELT and Data Streams.
Excellent communication skills in English and strong problem-solving skills.
Ability to multi-task and meet deadlines in a fast-paced environment.
Proven track record serving meaningful Business Intelligence through reports, dashboards and visualizations using platforms such as Power BI, Tableau, Looker, Qlik Sense or Sisense.
Experience with product management tools such as Jira, Trello, TFS/Azure DevOps Server, Monday.com.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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עדכון קורות החיים לפני שליחה
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נאספה מאתר אינטרנט
10/06/2024
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
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.
Requirements:
3+ years experience as a data/product/business analyst, preferably within a fast-growing consumer company
Degree in Industrial Engineering, Mathematics, Statistics, or a related field
Experience working with SQL
Experience working with BI tools (Looker, Tableau, Mixpanel etc.)
Data-driven, familiar with A/B testing best practices, and adept at working with large data sets
Comfortable working with product managers, as well as data engineering and data science teams, and proficient in presenting technical information in English
Ability to work in an office environment a minimum of 3 days a week
Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
7754397
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