לוח משרות דרושים Data Analyst בתל אביב יפו

As a Senior Data Analyst , youll be a key part of our Data Group, working alongside top-tier data analysts, data scientists, and data engineers.

Youll play a central role in shaping how data drives our product, impacting hundreds of thousands of users by turning complex data into actionable insights.

Data is at the heart of everything we do . In this role, youll help optimize key KPIs, enhance data pipelines, and enable smarter, data-driven decisions across the company.

What Youll Actually Do:

Own product analytics end-to-end for a core dataset within Data Group, serving as the primary authority on analytics for your teams data, with autonomy to define standards, methodologies, and direction.
Lead advanced, impact-driven analyses across the full lifecycle of the dataset - from supplier ingestion and enrichment logic through algorithms, product usage, and customer impact.
Work closely with Product, R&D, and Data Engineering to shape enrichment logic, guide decisions, and translate complex data problems into actionable insights.
Build and own core dashboards and analytical tools that become a trusted, day-to-day foundation for decision-makers working with your dataset.
Drive data initiatives that measurably improve data quality, product performance, user experience, and business outcomes for your domain.

As a Senior BI Data Engineer, youll join a company where culture isnt a slogan - its our DNA.

Youll be part of a data-driven organization where every voice matters, working at the heart of our BI team to raise the bar for analytical excellence.

In this role, youll take end-to-end ownership of complex, high-impact BI initiatives, shaping how measures success, makes decisions, and scales. Your work will directly impact over 1M users worldwide, empowering B2B sales teams to unlock new revenue opportunities and drive sustainable growth.

What Youll Actually Do:

Lead the design and evolution of BI data foundations, owning key product and GTM metric definitions and data models
Build, scale, and maintain high-quality ELT pipelines and curated datasets (raw → modeled → semantic) that power dashboards and self-serve analytics
Collaborate closely with Data Scientists to operationalize machine learning use cases, including feature pipelines and analytical datasets
Take senior ownership within the BI team by mentoring peers, reviewing critical work, and promoting best practices in analytics engineering and semantic modeling
Own the performance, cost, and reliability of the data warehouse and BI layer by optimizing models, queries, and incremental processing patterns
Translate ambiguous business questions into clear, governed metrics and scalable data models, partnering with Product, RevOps/GTM, Finance, and Analytics
Establish and maintain strong data quality, observability, and monitoring practices (tests, SLAs, anomaly detection)
Drive standardization and automation across the BI development lifecycle, including version control, CI/CD, documentation, and release processes
Stay ahead of modern BI and analytics engineering trends, including AI-assisted development, and apply them pragmatically to increase trust and speed

we are looking for a Data Integration Engineer.
As a Data Integration Engineer , you will use technical skills, analytical insights, and a business perspective to ensure we have the most accurate and complete data from each client to feed our data science models. You will be responsible for helping new and existing customers ensure they are receiving the best performance possible and leading the charge in processing the data of the largest eCommerce merchants in the world.
What You'll Be Doing:
Maintain/manage merchant data configuration layer of platform (automated data tagging, transformation, filtering, etc.)
Combine technical, business, and analytical objectives to come up with tailored solutions for onboarding merchants
Perform due diligence on merchant websites, business models, and data flows
Generate tailored data templates (JSON, CSV) to help guide merchant developers/data teams in building high-quality online (API) and offline (file transfer) integrations.
Write queries and scripts using Python, SQL, Spark, Databricks, or R to test, validate, and detect data issues in API calls within both sandbox and production environments. Additionally, transform and upload large historical data files to APIs
Ad hoc data wrangling and sanitization
Monitor automated data alerts - prioritize, track, and communicate merchant data issues/irregularities with internal and external stakeholders
Work closely with analysts, research, and data science teams to accommodate changes in industry data
Identify, research, and offer system-wide solutions for common data issues
Work closely with client-facing teams to engage customers regarding their data integrations
Support R&D, Product Management, Data Science, Integrations Engineering, Account Management, and Sales as a subject matter expert of product, technology, and merchants

We are seeking a driven, solution-oriented Salesforce Analyst with a deep understanding of platform architecture and a passion for enhancing business performance. In this role, you wont just be "fixing tickets"-you will be a strategic partner to our Sales, Marketing, and Customer Success teams. You will translate complex business needs into elegant, scalable technical solutions that adhere to Salesforce best practices.
What You'll Be Doing:
Lead cross-organizational projects designed to increase efficiency across Sales, BDR, Marketing, and Partner relations.
Work closely with global business leaders to gather requirements, provide system support, and understand the unique nuances of different regional teams.
Architect creative solutions to complex technical challenges, leveraging Salesforces latest features to solve high-impact business problems.
Execute end-to-end configuration, including advanced Flow automation, custom objects, data modeling, and system integrity checks.
Continuously assess our Salesforce instance to identify bottlenecks and implement "best-in-class" improvements that support a rapidly growing SaaS organization.

we are looking for a Product Data Analyst.
As a Product Data Analyst, you will play a pivotal role in driving data-based decision-making and shaping product direction across the organization. You will oversee complex analytical initiatives, guide the development of KPIs and performance frameworks, and partner with product, engineering, and business leaders to influence strategic priorities.
Responsibilities:
You will lead and conduct end-to-end analytical workflows, from requirement definition, data collection, and preprocessing to insights generation and executive-level presentations. You will also spearhead the development of scalable tools, processes, and methodologies that enhance model performance and data accuracy across the company. By uncovering actionable insights and identifying opportunities for optimization, you will directly influence business growth and help scale the organizations most impactful initiatives.
This role is ideal for someone who thrives in a fast-paced environment, enjoys taking ownership of high-impact initiatives, and is ready to manage projects independently while effectively collaborating with internal stakeholders to ensure delivery of the intended outcomes.

we are a global leader in control systems for quantum computing, a field on the verge of exponential growth. Our innovative hardware and software mark a groundbreaking approach in quantum computer control, scaling from individual qubits to expansive arrays of thousands. At the core of our company lies a passionate and ambitious team committed to reshaping the construction and operation of quantum computers. Our work is fueled by a deep understanding of customer needs, driving us to deliver unparalleled solutions in this revolutionary field.
As an ERP Functional Consultant in Dynamics 365 Finance and Operations, you will be responsible for overseeing the implementation and optimization of our Dynamics 365 processes. As part of the team, you will play a crucial role in ensuring the smooth operation of our business processes, enhancing system capabilities, and driving technological advancements. Additionally, you will provide essential support to users, ensuring they have the resources and assistance needed to effectively utilize Dynamics 365.
KEY RESPONSIBILITIES
Be a key player in the support and evolution of our F&O system, particularly focused on logistics.
Implementation of new modules, integrations, and system upgrades with minimal business disruption.
Oversee day-to-day operations and performance of the D365 Finance and Operations platform.
Provide advanced troubleshooting and technical support, ensuring timely resolution of issues.
Create requirements for customizations and enhancements.
Collaborate with stakeholders to gather requirements, propose solutions, and improve system processes.
Build reports and dashboards to support business decision-making and monitor system health.

Were looking for a Junior Data Analyst whos eager to learn, explore big data, and turn raw information into real insights. Youll work closely with our data and R&D teams, analyzing patterns, supporting reports, and contributing to smarter product and business decisions.
This is a great opportunity to grow your analytical and technical skills in a cutting-edge cybersecurity environment.
What Youll Be Doing:
Support analysis of large, complex data sets to identify trends and insights.
Help produce reports on product performance, user behaviors, and new features.
Work closely with multiple teams to answer data-related questions and support decision-making.
Assist in automating data processes and improving reporting efficiency.
Learn and apply tools and methods for device identification and data enrichment.

We need a Data Analyst to help us analyze the millions of data points generated daily. Your insights will drive smarter decisions, optimize product performance, and enhance device identification.
This isn't just another data job-it's your opportunity to innovate, collaborate, and make a significant impact in seamless networking.
What Youll Be Doing:
Analyze large, complex data sets of millions of connected devices to address data plan needs for growth, user behaviors, and business questions.
Produce customer reports on product performance, trends, and new features added.
Engage with different teams within the organization, work in collaborative teamwork, and contribute to innovative ideation.
Increase device identification coverage by using automation techniques and out-of-the-box thinking.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

We are looking for a highly motivated and skilled Data Analyst to join the R&D Analytics team . In this role, you will play a key part in driving data-driven decisions across critical business and development paths. You will work closely with cross-functional teams, including product managers, developers, business stakeholders, and senior management, to deliver actionable insights and support the continued growth and success of our products.

Key Responsibilities
Build new dashboards from scratch and maintain organization-wide reporting assets.
Take ownership of accurate and effective KPI definitions.
Analyze complex datasets to identify trends, patterns, and actionable insights.
Collaborate with business and R&D teams to understand processes and translate them into data models.
Write advanced SQL queries for ad hoc requests.

We are seeking a hands-on, impact-focused, and highly motivated Business Analyst. The ideal candidate will optimize performance through data, transforming insights into actionable recommendations that inform business decisions.

Responsibilities:
Analyze business performance metrics (marketing campaigns, product funnel, websites) to identify areas for improvement.
Work closely with cross-functional teams, including media buyers, product managers, account managers, and engineers, to improve our data infrastructure and provide useful data tools.
Develop and maintain dashboards and reports to track business and user engagement KPIs.
Design and implement rule-based models to enhance media buying strategies.
Analyze A/B tests that introduce new features and enhancements to our flows.
Prepare and present analytical findings and recommendations to stakeholders including top management.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly,

We are looking for a talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a ML & Big Data Analyst look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of our data and algorithms.
Utilize your deep understanding of our data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

We are looking for a Data & Ops Analyst to join our fast-growing team. In this role, you will build the internal systems, automations, and integrations that power the companys analytical and operational workflows. You will play a key part in enabling our teams to move faster, make better decisions, and scale their impact - all while contributing to a mission that improves the lives of millions.
If you are highly motivated, detail-oriented, and eager to leverage technology to solve real problems, this role is for you. Youre a team player, open-minded and collaborative, and you know how to turn ideas into working solutions. You embrace ownership, move quickly, and are excited to help shape the systems that drive forward.
Responsibilities:
Design, build, and maintain internal tools, automations, and integrations that streamline workflows across data, legal, and operational teams.
Collaborate closely with analysts, product stakeholders, and legal data teams to understand their needs and translate them into scalable technical solutions.
Ensure system reliability, data integrity, and smooth information flow across internal platforms and APIs.
Develop backend logic and automation scripts that support high-quality, efficient internal applications.
Leverage AI tools and advanced prompting techniques to enhance automation, enrichment, and user experience.
Document system behavior, maintain internal tooling standards, and continuously improve performance, stability, and usability.
Stay up to date with emerging internal tools frameworks, automation practices, and AI-driven development approaches to keep operating at the cutting edge.

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.



Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve At-Bays product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.