לוח משרות דרושים Data Analyst משרה מלאה

We are looking for a Data Annotation Manager to join our R&D team and manage a team of data taggers responsible for tagging and labeling data for machine learning models.

A day in the life and how youll make an impact:
Managing a team of 8 data taggers in Israel and overseeing a team of data validators in the US.
Ensure that the data is accurately tagged and labeled.
Ensure that the team is meeting its goals and deadlines.
Managing an outsourced team that's performing the scale data tagging and labeling.
Work with the data science team to ensure that the data is being used effectively.
Develop and implement processes to improve the efficiency and accuracy of the data tagging process.
Train new team members on the data tagging process.

We are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the 365Scores products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.

Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

we are seeking a talented to join our team. The ideal candidate will have a strong background in analyzing IT systems to meet business needs. The role involves working closely with business and technical stakeholders, gathering and documenting requirements, and supporting the end-to-end development lifecycle. Key Responsibilities:
* Gather and analyze business requirements from various stakeholders
* Write functional and technical specifications (High-Level & Detailed Design)
* Understand and map complex business processes
* Collaborate with development, QA, integration, and architecture teams
* Support projects from initiation to implementation
* Identify process gaps and organizational solutions
* Provide ongoing support post-implementation

Were looking for a Product Data Analyst to join the team and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains,, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique chance to influence the evolution of a leading experience optimization platform, empowering some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.
This is a 10-month temporary contract
Role:
Work closely with product managers to define and refine KPIs and success metrics that align with product goals. You'll support planning, feature evaluation, and post-launch performance assessments to ensure product decisions are data-driven and measurable
Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
Analyze user behavior and product usage patterns using quantitative methods to identify pain points, usage trends, and feature adoption
Build and maintain dashboards and reports that empower product and business stakeholders with timely, actionable insights. Youll ensure key metrics are easily accessible and accurately reflect performance across initiatives.
Contribute to the development and maintenance of data models and assist in maintaining scalable, trustworthy ELT pipelines. Youll help shape the underlying data layer that powers analytics across the product and business.
Monitor KPIs and drive continuous efficiency improvements.

the omnichannel outcomes platform for the open internet, driving full-funnel results for marketers across premium media. With a focus on meaningful business outcomes for branding and performance objectives, the combined company ensures value is driven with every media dollar by leveraging predictive AI technology to connect quality media, beautiful brand creative, and context-driven addressability and measurement. One of the most scaled advertising platforms on the open internet, Teads is directly partnered with more than 10,000 publishers and 20,000 advertisers globally. The company is headquartered in New York, with a global team of nearly 1,800 people in 36 countries.

About the Opportunity
We're looking for a highly analytical, curious, and proactive Business Analyst to join our dynamic Revenue Strategy and Insights team. This isn't just about reporting; it's about being a strategic partner who directly influences our core business growth. You'll be the crucial bridge between complex revenue data and senior leadership, translating advanced analyses into compelling, actionable insights that drive success for our entire organization. You'll empower senior leadership to understand market dynamics, optimize performance, and identify significant revenue opportunities across our diverse portfolio.

What You'll Do

Imagine starting your day by reviewing key revenue dashboards, then immediately diving deep into the data to uncover root causes, seek untapped opportunities, and identify emerging trends within customer segments. You'll use your advanced analytical and statistical methods to transform raw data into a clear understanding of revenue performance, whether it's optimizing monetization strategies or evaluating new partnership proposals.

A significant part of your role involves transforming complex analyses into easily digested narratives for senior leadership. You'll prepare and present findings directly to VPs, Managing Directors, or the C-Suite, guiding them through sophisticated analyses of revenue performance, explaining the quantitative impact of specific initiatives, and helping to shape major strategic decisions. You're constantly seeking to empower executives with timely, impactful data to drive future revenue growth, truly thriving on creating direct business impact.

Perform deep-dive analysis using advanced analytical and statistical methods on churn, retention, product adoption, and customer segmentation to uncover root causes, discover new segments, and identify impactful trends.
Translate complex revenue analyses into clear, concise, and compelling strategic recommendations and actionable insights, built into easily digested narratives.
Design, build, and maintain interactive dashboards and reports for executive consumption, primarily in Looker.
Present analytical findings and strategic insights directly to executive leadership and managing directors, articulating complex concepts simply while emphasizing the business impact and growth opportunities.
Proactively identify opportunities, risks, and growth drivers within our revenue streams and customer base through rigorous data exploration.
Collaborate closely with other analysts in the team, product analysts, and business leaders to integrate data-driven approaches into core revenue strategies.
Leverage AI-driven codeless building of analytical tools for advanced analytics to shorten time to value or automate processes, freeing up more time for in-depth insights and strategic thought.

Our fantastic team is expanding to meet the growing demand of our customers and we are interested in welcoming a Data Scientist to join our team,
and to design and develop proprietary AI models for industry-leading OEM customers.

we are the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online users physical and cognitive digital behavior to protect individuals online. our companys mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust, and ease coexist.Today, 34 of the world's largest 100 banks and 210 total financial institutions rely on our company Connect to combat fraud, facilitate digital transformation, and grow customer relationships.. our companys Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps our company to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, our company continues to innovate to solve tomorrows problems.
Come work with intensely curious people dedicated to innovation, growth, and protecting customers against cybercrime and fraud!
Were seeking a hands-on, passionate BI Team Lead to join our fast-paced, data-driven environment. We'd love to meet you if youre excited about shaping how a company interacts with data and building impactful dashboards that drive decisions.
Description
Lead, grow, and mentor a team of BI engineers and platform specialists, driving a culture of high performance, collaboration, and continuous improvement.
Take full ownership of the data warehouse and BI layer, ensuring the data infrastructure is reliable, scalable, and supports all downstream use cases.
Solving problems and creating ETL pipelines using Python.
Model and maintain the data warehouse, including dimensional models and semantic layers that serve analysts and BI users across the company.
Act as the focal point for all dashboard creation efforts, collaborating with cross-functional teams (product, analytics, management and business stakeholders) to define and implement data visualization solutions.
Administer and manage the infrastructure of our BI tools (such as Looker, Tableau, Power BI, etc.), including user management, permissions, performance optimization, and integrations.

We are seeking a skilled and proactive Global IT Business Applications System Analyst with strong system analysis skills and expertise in IT applications. This role requires close collaboration with various business units to ensure the successful implementation of IT systems while driving process improvements and enhancing efficiency. In this role you will be responsible for leading and managing the end-to-end deployment of new systems across the organization, ensuring timely delivery and alignment with business objectives.
Responsibilities
What you will be doing:
Oversee the deployment of new systems, from planning and configuration to installation and integration to ensure smooth execution.
Collaborate with stakeholders across various departments to define project objectives, deliverables, and success criteria.
Analyze global business requirements and translate them into technical solutions.
Provide post-implementation support, proactively addressing issues and ensuring systems are maintained for optimal performance.
Assess existing systems, processes, and data to identify opportunities for improvements and implement effective enhancements.
Develop and manage project plans, timelines, and budgets for IT BA projects.
Oversee resource management, task allocation, and offer technical leadership throughout the project lifecycle.
Track project progress, identify potential risks, and implement strategies to mitigate them, ensuring projects stay on track.

As a Senior Product Manager, you will define and execute the vision for Business Intelligence (BI), Social Listening, and Marketing Intelligence products within . Youll work closely with engineers and cross-functional teams to build solutions that provide customers with deep insights into their social media performance, competitive landscape, and market trends.
Responsibilities
Conduct market research to identify trends, customer needs, and competitive gaps in BI, social listening, and marketing intelligence.
Engage with customers to understand how they leverage data for decision-making and uncover new opportunities.
Define and own the roadmap for BI, analytics, and social listening products, prioritizing features and enhancements.
Collaborate with engineering, AI, and data teams to develop dashboards, analytics, and reporting tools.
Ensure timely and high-quality delivery of new data-driven capabilities.
Partner with marketing, sales, and customer success to define positioning, messaging, and adoption strategies.
Train internal teams on new intelligence features and their business value.
Define success metrics (KPIs) to track product adoption and customer impact.
Continuously analyze product performance, gather customer feedback, and iterate on improvements.
Align with executives and cross-functional teams on strategy and product direction.
Communicate progress, insights, and key decisions with internal and external stakeholders.

We are seeking a highly skilled and data -driven data Analyst to join our R&D data group and play an extremely important role as your insights and findings will be crucial for our growth and success What Will you be doing:
* Work closely with managers to define research goals
* Analyze and process big amounts of data and use it to give actionable insights.
*  Preparing final analysis reports for the stakeholders to understand the data -analysis steps, enabling them to take important decisions based on various facts and trends.
*  Develop and integrate data analysis method and know how across the company internal divisions
* Create, and maintenance customized dashboards for monitoring and process management purposes
*  Educate and training for all data analyst across the company

Country:
Israel

City:
Herzliya

we are looking for a Data Analysis Technical lead to join Networking Clusters Solutions group. In this role, you will be responsible to define advance data analysis architecture scheme for our clusters performance analysis, cluster management and monitoring solutions. You will dive into emerging technologies, define and prove concepts, and identify or create the necessary frameworks. Your responsibilities will include defining and implementing large-scale telemetry pipelines, ensuring data integrity, and designing simulation solutions and other innovative technologies. You will also design and optimize data architecture to support robust and scalable systems. Networking Cluster Solutions (NCS) group is responsible to build the biggest AI clusters in our company Israel to qualify and optimize our company Networking solutions at scale.
What You'll Be Doing:
Define and implement the groups data analytics technical roadmap, ensuring alignment with teams inside and outside the group
Oversee the quality, performance, and maintainability of the data analytics codebase and delivered solutions
Drive best practices in software engineering, data modelling, data quality, code quality, security, observability, and operational excellence
Build high-performance ETL pipelines with advanced data integrity control of NCS group
Define and build NCS group different ETL pipelines and reports for HPC & AI clusters performance, telemetry and E2E tests coverage.

As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.

Responsibilities:
Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
Leverage the extensive data received from our application to enhance model performance and accuracy.

we are seeking a strategic and data-driven Business Data Analyst to join our team!
In this role, you will play a key part in analyzing business performance, customer acquisition, and go-to-market strategies.
You will explore various data sources, develop key performance metrics, and identify opportunities to optimize our market penetration and customer engagement initiatives. Your insights will support strategic decision-making and help drive growth across marketing functions.
You will leverage your analytical expertise to deliver actionable insights that influence our business strategies and performance.
Responsibilities:
Develop a deep understanding of data models related to customer acquisition, marketing funnel, new products launches, revenue, and overall business performance.
Design and implement new data models, KPIs, and predictive analytics to support go-to-market and strategic initiatives.
Build, maintain, and monitor reports, dashboards, and metrics to track business health and growth targets.
Analyze data to identify trends, opportunities, and risks across customer segments and market channels.
Communicate insights and strategic recommendations to executive leadership and cross-functional teams.
Collaborate with stakeholders to align data initiatives with business objectives and become a trusted analytics partner.

We are seeking a data-driven and strategic Cloud FinOps Analyst to enhance our cloud cost visibility, drive cost efficiency, and influence strategic decision making across our engineering organization. In this role, you will play a key part in building and maintaining actionable insights into cloud usage and spend, collaborating with engineering, finance, and product teams to shape a data-informed FinOps practice that supports scale and sustainability.
As a Cloud FinOps Analyst, you will...
Build and maintain cloud cost and usage visibility, providing summaries and detailed usage statistics for resources across the public clouds.
Analyze cloud cost and business data, and propose solutions to problems using advanced analysis methods.
Collaborate with the development and finance teams on cost optimization, budget, forecasting, and showback.
Build a strong correlation between cloud cost and the business usage data represented in a unit economics model.
Develop and track key metrics and performance indicators to evaluate and maintain cloud spend health.
Create real-time alerts based on the data models to identify anomalies in the cloud spend.
Effectively use cloud cost management tools.
Support cloud tagging strategies and ensure accurate cost attribution across teams and products.

a ready-to-deploy, Salesforce-native eQMS with the industrys first AI specifically built to deliver safe, reliable decision guidance for critical quality issues. This offers faster, more proactive quality and compliance through vertical AI that empowers data-driven decision making in life sciences quality and compliance.
The companys solutions are trusted by life sciences companies, both large and small, worldwide. The solutions are fully compliant with 21 CFR part 11, EU Annex 11 and support ISO 9001, 13485, 14971, and 27001.

Who were looking for
We are looking for a Data Migration Analyst to become an integral part of our Professional Services team at. At we strive to ensure customers satisfaction and an effective onboarding process. As a Data Migration Analyst, you will perform all the data migration activities during the customer onboarding stage, develop tools and scripts to improve the process, and work closely with the product team to design and develop the tools required to support new products and features. You will be working in collaboration with the customers and closely with our support, product, and customer success teams.
a cloud-based, innovative software company, and our product allows life science customers to manage their quality and compliance processes electronically.

Our ideal candidate should be passionate about learning new technologies, organizing information \ data, and keen on becoming a part of a growing and dynamic team. You will succeed in this role if you are a problem solver who likes to work with data and people to drive the best solution for both the customer and Dot.

Responsibilities:
Performing Data migration for customers during the onboarding process.
Support Professional Services teams with Data Migration issues and questions
Troubleshoot data-related issues with customers' production systems
Design and develop Data Migration tools and methodologies