לוח משרות דרושים Senior Data Analyst

we are looking for a brilliant Marketing data Analyst to join our data department. As part of this position, you will be working alongside various marketing teams that are responsible for acquisition of new users. You'll use your analytical, technical and business expertise to track and measure marketing efforts, uncover trends, spot opportunities, and support key decision-making processes. You will be required to answer complex questions defined by executive management and various business units, develop insightful recommendations and initiate deep-dive analyses. Were looking for someone with a passion for numbers and marketing domain, a proactive mindset who brings creative ideas to solve tough challenges and spot new opportunities.You will leverage AI tools, automation, and advanced analytics to streamline workflows, uncover insights, and support data -driven marketing decisions.
What am I going to do:
* Conduct deep-dive analysis to answer complex business questions and deliver comprehensive recommendations.
* Build and maintain the teams reporting set and dashboards.
* Develop marketing measurement methodologies and data science models.
* Provide ROI-based recommendations to optimize marketing spend across channels.
* Identify opportunities for automation and smarter ways of working through data and AI tools.
* Manage multiple tasks in a fast-paced working environment.
* Collaborate closely with stakeholders across the marketing department.

Were looking for a hands-on leader to take ownership of our data and analytics landsape.
This isnt a pure management role we need someone who can roll up their sleeves, dive into AWS environments, and still have the strategic view to guide a growing data team.
The ideal candidate combines strong technical expertise in data engineering and analytics with a solid understanding and genuine passion for Artificial Intelligence (AI) including how AI can enhance data-driven decision-making and operational efficiency in the financial domain.
In this position youll:
Shape the companys overall data strategy and decide how we store, move, and use data across the business.
Lead a small but growing group of engineers, analysts, and BI specialists, making sure they have the right tools and direction.
Stay close to the technology designing and reviewing data pipelines, checking performance, and being the go-to person for AWS data solutions like Redshift, Glue, Athena, S3, and others.
Work with business leaders (finance, risk, compliance) to turn their questions into clear, data-driven answers.
Identify opportunities to integrate AI/ML into data workflows and business processes.
Establish best practices for data governance, quality, and security in a financial services org.
Drive automation and efficiency through modern data and AI tools

Required Senior Data Analyst, Data Science Team
The opportunity
Join a high-impact team of applied researchers and engineers where you'll dive deep into the full ML lifecyclefrom comprehensive data exploration to model evaluation and performance analysis. This role offers unique exposure to cutting edge machine learning applications while building your expertise in both analytical depth and ML systems.
What you'll be doing
Conduct comprehensive exploratory data analysis and deep-dive investigations across our full data ecosystem to uncover insights that drive ML and product strategy
Analyze ML model results, performance metrics, and conduct sophisticated model evaluations that inform algorithmic improvements
Design, implement, and analyze A/B tests while serving as a key contributor to our model evaluation and experimentation processes
Build analytical pipelines and automated systems that scale our ability to measure ML effectiveness and business impact
Create advanced dashboards and reporting systems that translate complex model performance into actionable business insights.

As a Senior Product Analyst at our company, youll join the AI Solutions group, contributing to the development of intelligent identity security capabilities. This role sits at the intersection of data, product, and AI - giving you the opportunity to apply analytical thinking and technical skills to help shape real-world solutions. Youll work alongside senior analysts, data scientists, engineers, and product managers to explore data, derive insights, and contribute to productizing AI-driven features that improve the performance, usability, and intelligence of our offerings. This is an ideal opportunity to kick-start your career in product analytics with mentorship, responsibility, and meaningful impact from day one
Analyze product usage and behavioral data to support the design and improvement of AI-powered features.
Work closely with product managers and engineers to translate insights into productized solutions that enhance functionality and user experience.
Build and maintain dashboards, KPIs, and reports that drive product decision-making.
Contribute to the development and validation of success metrics for new capabilities.
Collaborate with data scientists on experiments, A/B tests, and model monitoring efforts.
Ensure data quality and support scalable pipelines by working with data engineering teams.
Communicate findings through clear presentations and visualizations that influence roadmap decisions.
Develop a deep understanding of product workflows and user behavior to guide analytical priorities.

Were looking for a Data Analyst thats proactive, curious, entrepreneurial, and has a strong opinion. You will use your analytical skills and business understanding to shed light on undiscovered issues and opportunities that can literally change the trajectory of our company.
What you will be doing
You will have the chance to work with multiple teams (Marketing, Product, Sales, etc.) doing the following:
Analyze customer and user behavior and inform the teams in order to influence strategy and trajectory.
Collaborate with the team, define KPIs and measure the impact of their teams on our company performance.
Design, execute, and analyze A/B tests to measure the impact of changes and refine strategies.
Ensure data integrity and accuracy, consistently validating and updating datasets while contributing to the improvement of our data infrastructure.
Play a key role in understanding our users and their needs.
Lead the development of innovative data products.
Stay updated on industry trends and best practices in data analysis and user journey optimization.

We are looking for a Senior Data Analyst to join our companys Professional Services group. As a data-driven organization, we strive for absolute transparency around our deliverables, empowering relevant teams to make informed decisions and become more productive and efficient.
How youll make an impact:
Analyze, discover, monitor and provide insights on major revenue impact issues to ensure our company Network performance and high quality.
Create, support and maintain development tools aiming to monitor and investigate our company performance, as well as find creative solutions for a variety of challenges, while facing our growing data requirements
Own and manage multiple data initiatives and projects both on an on-going and an ad-hoc basis, while using new approaches of data analytics
Analyze business data, discover root causes for data anomalies and generate actionable recommendations
Closely work with multi-disciplinary teams and stakeholders to provide insights and answer business questions.

Required Senior Test Engineer & Technical Lead
You will be part of our REM department. Our Road Experience Management (REM) is an end-to-end mapping and localization engine.
Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities. Our analysts are responsible for running the analysis process and for providing deep analysis reports based on effective analysis of big data.
What will your job look like:
Lead and coordinate the validation of major software releases that integrate features from multiple algorithmic teams. Provide informative analysis based on clips and data review.
Manage and oversee both automated and manual validation processes, ensuring thorough data review and quality control.
Prepare clear, structured reports summarizing validation results, issues, and recommendations for technical and management stakeholders.
Plan, track, and coordinate validation projects, maintaining schedules, identifying risks, and communicating progress across departments.
Collaborate with algorithm developers, engineers, and other stakeholders to troubleshoot issues and propose improvements.
Participate in the planning and design of advanced validation processes.

Rakuten Viber is one of the most popular and downloaded apps in the world. Working with us means influencing hundreds of millions of users and shaping the journey toward becoming a true super-app. Our mission is to make people’s lives easier by enabling meaningful connections — from special moments with friends and family, to building businesses and pursuing passions. We’re looking for a Senior Data Analyst who combines strong technical skills with a strategic mindset and curiosity for how data drives user experience and growth in social mobile apps. You’ll partner closely with product, engineering, and marketing teams to turn data into clear insights and measurable business impact. If you’re passionate about uncovering insights, leveraging data and AI for smarter, faster results, and driving decisions at scale; we’d love to hear from you!

Responsibilities:

* Identify opportunities for improvement through data analysis aligned with company strategy.?
* Partner cross-functionally to translate data findings into actionable product and business decisions.?
* Design, run, and analyze A/B tests to evaluate product changes and user experience optimizations.?
* Build, automate, and maintain dashboards and reports to track platform health, user behavior, and key trends.?
* Communicate findings clearly to stakeholders, influencing both tactical and strategic decisions.?
* Leverage AI and automation tools to accelerate analytical workflows and uncover deeper insights.

Advantages:

* Background in statistics, causal inference, or experimentation frameworks.?
* Experience mentoring analysts or leading analytical projects.?
* A deep interest in social, communication, or engagement-driven apps.

our Revenue Platform offers the most complete and connected revenue workflow for sales organizations. We are seeking an experienced, energetic, and methodical professional to join our industry-leading Marketing team. Were looking for a data Analyst to join our data team and partner closely with our Customer Success organization to translate product usage data into actionable insights that drive adoption, retention, and customer value. In this role, youll bridge the gap between Customer Success and Product, providing the analytical foundation to help teams understand how customers engage with DealHubs platform. Youll identify patterns in usage and behavior, measure customer health, and help shape data -driven strategies that reduce churn and promote expansion. What Youll Do
* Partner with Customer Success to define and measure key metrics related to adoption, engagement, and value realization.
* Analyze customer usage data to uncover behaviors and product patterns that predict retention, growth, and churn risk.
* Build and maintain dashboards and data models in Power BI to give CSMs and leaders Real-Time visibility into customer health and product engagement.
* Provide actionable insights to the Customer Success leadership team that influence renewal and expansion strategies.
* Collaborate with the Product team to assess how feature usage correlates with customer outcomes and identify opportunities for product improvement.
* Monitor leading indicators of customer satisfaction and proactively highlight at-risk accounts.
* Support strategic Customer Success initiatives through data -driven analysis and storytelling.

We're looking for a Senior Business Analyst to lead the data domain within our Working Capital Business unit - a high-impact, fast-moving team that operates like a startup within a global company.
This is a unique opportunity for a hands-on, strategic thinker to take full ownership of our data domain: from defining and executing our data strategy, to building advanced risk models and scalable infrastructure - while leading the data domain in a matrixed structure that includes a business analyst and a data engineer.
The ideal candidate brings a strong analytical mindset, experience in data modeling, and a proven ability to turn complex datasets into actionable insights that shape business strategy. They also possess the skills to design and build scalable data infrastructure, along with strong teamwork and leadership capabilities in a cross-functional environment.
What youll do:
Own and lead the data domain within the Working Capital unit, including analytics, modeling, and infrastructure.
Design, develop, and maintain our risk scoring model - a core component of the product used to assess credit risk.
Develop, refine, and maintain dashboards, reports, and visualizations to monitor key KPIs.
Conduct in-depth analysis to uncover trends and deliver strategic, actionable insights for all business domains (Risk, Growth, and Ops).
Guide and mentor analysts, fostering a high standard of analytical thinking and execution.
Partner with cross-functional teams (RevOps, Marketing, finance, operations, etc.) to enhance the data infrastructure supporting the Working Capital business.

Step into the financial core of a global SaaS leader with a key analytical role!
Are you a data-driven thinker with a strategic mindset and a passion for understanding the business behind the numbers?
Were looking for a Financial Data Analyst to help shape decision-making across our pricing, budget planning, forecasting, and market strategy. In this role, you'll collaborate with cross-functional teams- from finance to senior leadership- to turn data into actionable insights.
If you're technically strong, curious, and thrive in a fast-paced environment, this might be your next challenge.
What you'll do:
Conduct a thorough analysis of financial results, KPIs, pricing, promotions, and competitor activities to guide strategic decisions.
Define, monitor, and communicate performance metrics through dashboards, reports, and clear insights to stakeholders.
Provide actionable recommendations beyond the numbers to support and execute business and strategic initiatives.
Lead projects and process improvements to strengthen operational efficiency, controls, and forecasting across units.
Conduct market and competitor benchmarking, and develop economic models and databases to support management decision-making.

Required Senior Analytics and Compensation Specialist, Temp
So, whats the role all about?
We are looking for a data-savvy professional that thrives in a fast-paced, global environment. The role combines business operations, people analytics, and operational execution capabilities.
How will you make an impact?
Lead the HR QBR (Quarterly Business Review) process and in other global HR processes: Track HR metrics progress and analyze people trends, provide insights, follow up on process progress, issue and analyze reports. Aggregate action items & proactive follow up to completion
People analytics reports and analysis to support the Executive VP HR and company-wide HR decisions and agenda
Own the methodology for running cross-company HR processes to ensure continuous improvement: previous lessons learned, kick-off, summary, and knowledge management
Working with field HR HRBPs and HR Ops, supporting periodical analysis and ongoing needs
Ensure Global HR yearly work plan is on track and executed
HR governance on compensation and Job Architecture elements
Support global and regional compensation processes: data, analytics & insights.

Were looking for a Product Analyst to join our Product team and play a critical role in unlocking the power of maritime data. Youll dive deep into complex datasets, ensuring quality, uncovering insights, and shaping the foundation for products and workflows built on AI. Your work will directly contribute to product innovation, customer impact, and the next generation of AI-driven maritime solutions.

What will you do?

Extract, analyze, and interpret maritime data using Python, SQL, and other data tools, working across sources such as Rockset, MongoDB, and S3.
Ensure data quality, accuracy, and consistency, supporting both product development and Generative AI-powered workflows.
Identify patterns, anomalies, and emerging risks within large, complex datasets to drive actionable insights for customers and internal stakeholders.
Collaborate with product managers, engineers, and data scientists to optimize data pipelines, workflows, and models.
Support the development of strategies for handling structured and unstructured data, contributing to scalable, automated solutions.
Visualize and communicate findings effectively, using tools such as Matplotlib, Grafana, or Redash, tailored for technical and non-technical audiences.
Apply domain knowledge of the maritime industry to contextualize data and generate meaningful insights for product workflows.
Conduct data integrity and QA checks, ensuring reliability for both operational use and AI model training.

We are looking for an experienced Data Analyst to join our Data Group.
As a Senior Data Analyst, youll be at the forefront of driving business decisions in a fast-paced environment, leveraging advanced analytics, root cause analysis, and prescriptive statistics to uncover actionable insights. Collaborating with cross-functional teams, youll diagnose performance issues, optimize algorithms, and implement automation to streamline processes. Youll experience instant gratification as your insights and recommendations drive real-time changes that directly impact the business.
Analyze & Interpret Data: Harness your SQL expertise to query large datasets, conduct root cause analysis, and deliver prescriptive insights that drive impactful business decisions in real time.
Collaborate Across Teams: Partner with product managers, data scientists, and engineers to uncover trends, validate hypotheses, and address anomalies with data-driven precision.
Solve Business Problems: Apply advanced analytics and automation to diagnose root causes, implement solutions, and optimize performance in a fast-paced environment.
Drive Real-Time Impact: Experience instant gratification as your insights shape critical KPIs, enabling the business to adapt and grow in real time.

Were looking for a sharp, curious, and experienced Senior Fraud Data Analyst to take a leading role in uncovering abuse, analyzing behavioral anomalies, and developing data-driven strategies to stay one step ahead. If you love connecting the dots in messy data, challenging assumptions, and working with others to build smarter defensesthis role is for you.
What Youll Do:
Analyze & Interpret Data: Use SQL and Python to query large datasets, detect anomalies, conduct root cause analysis, and uncover fraud patterns while also providing prescriptive insights to optimize business performance.
Drive Business Insights: Identify trends in ad performance, diagnose inefficiencies, and provide data-driven recommendations that impact KPIs and company strategy.
Combat Fraud in Real Time: Identify fraudulent trends, investigate suspicious traffic patterns, and take action to mitigate risk.
Develop & Improve Detection Models: Work with data engineers and data scientists to refine fraud detection and optimize real-time prevention strategies.
Collaborate Across Teams: Partner with business stakeholders to strengthen fraud defenses across platforms.