לוח משרות דרושים Data Analyst משרה מלאה

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 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.