לוח משרות דרושים Data Analyst

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.

Meckano provides an advanced end-to-end technological solution for human resource management and organizational efficiency.
We are looking for a talented data Analyst to join our team.
In this role, you will take ownership of end-to-end data analysis, transforming complex data into actionable business insights that support strategic decision-making and drive company growth.
The position is located in Petah Tikva.

Key Responsibilities
Analyze data from various company systems and generate actionable business insights.
Build reports and interactive dashboards for management and for CS, Product, and Marketing teams.
Work with data warehouses and write complex SQL queries.
Maintain and optimize data infrastructure while developing data -driven work processes.

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.

Required Network Data Analyst
Job Summary:
A cutting-edge network security solutions provider, is at an exciting time in its history and is growing fast! We cherish the spirit of friendship, growth, excellence, transparency, and perseverance.
As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.
Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

Data Analyst
Job Summary:
A cutting-edge network security solutions provider, is at an exciting time in its history and is growing fast! We cherish the spirit of friendship, growth, excellence, transparency, and perseverance.
As a Data Analyst, you'll be instrumental in constructing and managing the AI rules engine, alongside pinpointing network patterns to deliver value across various domains for our clients. This role requires proficiency in deriving insights from data and conducting thorough analyses. Additionally, it offers significant autonomy for innovation and creativity, qualities we encourage in all team members. Strong teamwork and interpersonal skills are also crucial for success in this position.
Together, we can shape the future of network security.
Responsibilities:
Take a significant part in data analysis, contributing to our ever-evolving automation engine.
Research various network behaviors and patterns.
Preform data research to classify network entities based on behaviors and patterns.
Write and implement creative scripts to achieve data science-oriented goals.
Characterize and define new product features.
Work closely with Data Engineering teams to ensure the optimal solution is built in terms of logic and infrastructure.

We are a development team (R&D) building a client-server system on Microsoft Azure, operating over an advanced cloud-based data infrastructure. We are currently transitioning from a legacy SQL Server and Analysis Services stack to modern platforms including Snowflake and Azure Data Explorer (ADX).
As part of this transformation, were looking for a sharp and driven Data Analyst to help us extract insights, shape our data for Machine Learning and AI, and directly influence business decisions.
What will you do?
Analyze complex datasets from diverse sources (Snowflake, ADX, logs, APIs, etc.).
Identify actionable insights and communicate findings clearly to business and product stakeholders.
Build dashboards and monitoring tools using Power BI / Tableau / Looker (or similar).
Collaborate with development, product, and data engineering teams.
Prepare and process data for ML/AI purposes (feature engineering, labeling, etc.).
Lead ad-hoc analyses and data-driven PoCs to support decision-making.

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.

Were on the hunt for a sharp, data-driven trailblazer to lead analytics for Outplayed - our companys flagship platform for capturing, editing, and sharing unforgettable gaming moments used by millions of players worldwide.
As our Insights Maestro, youll turn billions of gameplay events into clear, impactful insights that shape Outplayeds direction. Youll work closely with Product, Engineering, Marketing, and Leadership - serving as the General Managers main data partner and the primary link to our companys central Data team, aligning data needs, pipelines, and insights across the stack.
So if you see patterns where others see noise, love diving into complex behavior data, and want your insights to directly influence what we build next - this quest is yours.
Responsibilities
In this role, you will:
Transform raw gameplay and product data into clear insights that drive strategic and day-to-day decisions.
Build scalable and robust data solutions and reports to monitor product performance, key business metrics, and user experience.
Champion data accuracy, quality, and validity across the Outplayed business unit.
Develop reliable, entity-centered data models and scalable data marts.
Act as the primary liaison between Outplayed and the central Data team, coordinating data needs, pipelines, and insight flows.
Define, design, and analyze A/B tests that shape features, user behavior, and long-term product direction.
Empower a data-driven culture by enabling exploration and self-service analytics across teams.
Create slick, intuitive dashboards in Tableau and Redash for stakeholders across the company.
Deliver meaningful, actionable insights that influence Outplayeds roadmap, unit economics, and growth strategy.

Join a top-tier mobile gaming team with millions of downloads worldwide and exciting new titles on the way. We're looking for a Data Analyst who’s passionate about digging into player behavior and game economy data, with strong hands-on skills in Predictions and segmentation. You’ll play a key role in shaping engaging and well-balanced experiences by analyzing how different player types interact with core loops, progression systems, and monetization mechanics. This is a cross-functional role where you'll collaborate closely with game economy designers, product managers, and developers to bring clarity, structure, and insights into how our economies serve different segments of players. What You’ll Do

* Build and maintain player segmentation models using gameplay, behavioral, and monetization signals.
* Analyze player behavior, level progression, and feature usage to surface actionable insights.
* Partner with game economy and product teams to fine-tune sources, sinks, pacing, and offers based on segment needs.
* Use Python and SQL to run deep-dive analyses, build pipelines, and automate recurring economy metrics.
* Design and evaluate A/B tests related to game economy, pacing, and progression.
* Present clear findings via dashboards and storytelling that inform product and economy decisions.

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,