דרושים » תוכנה » Senior data Analyst

We are growing and are looking for future employees who value personal and career growth, team-work, and winning!
As part of our rapid growth we are looking for a Senior 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
Collaborate closely with the Data Science team to develop and review training labels, analyze model results for potential feature biases, and contribute to model insights, accuracy KPIs, and the overall model decisioning process. Familiarity with metrics such as recall and precision is essential.
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

Were looking for a BI analyst to join our team, to help proactively support and guide our business and product growth through data analysis and monitoring.
You will lead the analytics efforts and methodology building, and work closely with the company team leader and product managers to drive strategic initiatives forward and provide key insights to multiple domains (ops, product, finance, CS, and more).
RESPONSIBILITIES:
Create, support and maintain reports and dashboards for a variety of use-cases and teams , to create visibility into our products and services.
Promote data-driven decisions by helping to set the right KPIs, analyzing business and product usage data, conducting root cause analysis, and discovering data anomalies.
Manage multiple data initiatives and projects, both on-going and ad hoc
Recommend tools and data analysis techniques, present new approaches of data analytics
Work closely with a wide range of teams - Senior Management, Product Managers, Operations Managers , Research, SW and HW developers, and more.

Were looking for a full-time Product Data Analyst to join our Data Analytics team.

Play a key role in all relevant product decisions, by identifying areas for improvement and recommending opportunities for growth.

If you love digging into numbers and creating insights, if you want to take part in shaping product and business decisions, if you are self motivated, smart and keen about challenges your place is with us!

As a Product Data Analyst on our team, you will:
Analyse large and complex data set, creating smart and clear insights.
Build and maintain reports, dashboards, and metrics to monitor performance.
Use cutting edge technological stack to analyse business performance and decisions, identify patterns and trends, define and develop KPIs and other measurement tools.
Establish a strong communication channel and build excellent working relationships with a diverse set of stakeholders like Product, Marketing, Finance, Sales, Data and R&D teams.
Provide them with actionable recommendations, insights, and conclusions.
Work closely with our Product and Marketing teams, to create and improve personalized user journeys, user segmentation.
Analyse campaigns, key metrics, and identify opportunities to increase engagement and conversion.
Collect and analyse App behavioral data and campaigns success.
Defining, managing, and owning marketing automation platform and KPIs.

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 the 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)

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

looking for an experienced BI Developer with high analytical and engineering capabilities and high motivation to join our team.
We seek a candidate with the ability to independently lead end-to-end data processes, a team player with good communication skills, and the ability to work with cross-functional teams.

We are searching for a curious and initiative-taking candidate who delves deep into matters and can perform in-depth analyses on data with millions of records per day, extracting significant insights that lead to data-driven decisions for rapidly growing operations.

What you'll be doing
Analyze complex datasets and extract meaningful insights. Identify trends, patterns, and correlations within the data to inform strategic decision-making
Create clear and visually compelling reports and dashboards to present analytical findings to key stakeholders. Collaborate with cross-functional teams to develop customized reporting solutions that address specific business needs
Work closely with multiple teams (R&D, Product, Monetization and more) to understand business objectives and provide analytical support for strategic initiatives. Translate business requirements into actionable analytical tasks and deliverables
Proactively identify opportunities for process improvement and optimization based on data-driven insights

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 looking for a highly skilled and motivated Business Data Analyst to join our MIS and Business Operations team, with a focus on supporting marketing, sales, and product functions.
The ideal candidate will be proficient in BI tools, and will be responsible for analysing data, developing data models, creating insightful reports and dashboards, and enabling data-driven decision-making processes across these departments.
Responsibilities:
Develop data models, reports, and dashboards to provide actionable insights to our organization, mainly to sales, marketing, and product teams.
Interpret data trends, patterns, and anomalies to inform strategic decisions.
Design, develop, and maintain BI solutions, optimizing tools and processes to enhance data accuracy and accessibility.
Integrate data from Salesforce, Marketo, product data sources, and Splunk into BI solutions.
Manage ETL processes to ensure seamless data flow between systems.
Collaborate with other departments to streamline data integration practices.
Provide strategic recommendations based on data analysis to support marketing campaigns, sales strategies, and product development.

We are looking for a passionate and experienced Senior 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.