לוח משרות דרושים Data Analyst במרכז

Were looking for a highly technical, data-driven Data Analyst with a strong sense of ownership. In this role, you will be responsible for translating product data into business insights, measuring the impact of features and initiatives, and uncovering opportunities to drive revenue growth and customer value. Youll work closely with product managers, engineers, and business teams to support product development, guide strategic decision-making, and drive business growth.
What youll do:
Analyze large-scale datasets to identify trends, inefficiencies, and product opportunities in mobile attribution.
Develop and execute continuous data analysis to provide insights throughout the product development lifecycle.
Create and maintain dashboards, monitoring tools and ETL processes to improve visibility into attribution performance.
Suggest, lead, and implement new ideas and projects to improve our attribution models and overall product performance.

We are looking for a Operations Researcher.
As an Operations Researcher, you will:
Collaborate with teams to achieve strategic goals
Manage projects to improve efficiency and implement key initiatives
Oversee procurement of critical assets and infrastructure
Build and sustain international relationships
Analyze data to identify trends and actionable insights
Manage payment systems and integrate diverse platforms
Provide accurate, timely reports for transparency and accountability

We're looking for a hands-on, business-minded Analytics Engineer to build the infrastructure and tooling that turns this data into operational gold.
Youll be the first data hire in our new Operations Insights team, responsible for designing the operations data platform, generating insights for internal and external stakeholders, and helping our business teams deliver measurable impact. This is a hybrid role that combines data engineering with analytics and product thinkingyoull build, analyze, and consult.
From designing the data warehouse to crafting performance dashboards and investigating edge-case customer issues, youll be the go-to person who makes data accessible, trustworthy, and powerful.
A day in the life:
Design and implement the operational data platform, consolidating data from R&D systems
Build and maintain data pipelines and tables for store performance, deployment health, and system diagnostics
Collaborate with the Director of Customer Value & Insights and Expansion Managers to define KPIs and surface business insights
Conduct exploratory data analysis to support tough customer and deployment challenges
Build internal tools and dashboards that empower teams to self-serve critical data
Investigate anomalies, edge cases, and complex failure scenarios to improve deployments
Maintain data quality, documentation, and observability as we scale to hundreds of stores

We are looking for a Systems Analyst to define and specify web and mobile systems, from planning to production.
Key Responsibilities:
Define web and mobile systems, create Detailed Design documents.
Understand business and technical requirements, coordinate with development and production teams.
Conduct testing, optimize web systems, and provide maintenance and support.

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.

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.

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.

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

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.

We are looking for a detail-oriented, proactive, and experienced Collections Analyst to join our finance team. In this role, you will be responsible for managing accounts receivable, ensuring the timely collection of outstanding debts, and maintaining strong customer relationships.
As a Collections Analyst, you will...
Manage a portfolio of accounts, ensuring the timely collection of outstanding invoices
Communicate with customers to resolve payment discrepancies and disputes.
Reconcile customer accounts and process payments accurately
Collaborate with sales and Billing teams to address billing issues
Prepare regular reports on collection activity and account status
Identify and implement process improvements to enhance collection efficiency