לוח משרות דרושים Data Analyst

Our Professional Services is seeking a data Analyst!?Key Responsibilities:
* Analyze large datasets and generate actionable insights to improve business processes, with a particular focus on marketing activities and performance.
* Develop and execute advanced SQL queries for data extraction, analysis, and reporting from multiple data sources.
* Define, design, and build panels and data structures to be integrated into campaign management systems and dashboards.
* Measure and analyze campaign effectiveness, including producing performance reports and recommendations.
* Lead end-to-end data deliverables - from business and technical requirements gathering through implementation.
* Work cross-functionally with business stakeholders, data teams, and development teams to support ongoing initiatives.

we are looking for a Data Analyst.
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 looking for a Network Data Analyst.
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 seeking a dynamic and experienced Security Data Analyst to spearhead our cybersecurity initiatives and drive innovation within our team. In this pivotal role, you will lead the development of new security features, conduct in-depth data analysis and validation, conduct network research, develop new security concepts, and enhance our threat detection and response capabilities.
If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you.
Responsibilities:
Apply data analytics techniques to investigate security-related data, extract actionable insights, and enhance threat intelligence.
Perform data analysis to uncover anomalies and detect malicious behavior within the organization's network, aiming to automate these findings into a detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.
Research various network behaviors and patterns.

We are seeking a dynamic and experienced Security Data Analyst to spearhead our cybersecurity initiatives and drive innovation within our team. In this pivotal role, you will lead the development of new security features, conduct in-depth data analysis and validation, conduct network research, develop new security concepts, and enhance our threat detection and response capabilities.
If you thrive in a fast-paced environment and are excited about pushing the boundaries of cybersecurity, we want to hear from you.
Responsibilities:
Apply data analytics techniques to investigate security-related data, extract actionable insights, and enhance threat intelligence.
Perform data analysis to uncover anomalies and detect malicious behavior within the organization's network, aiming to automate these findings into a detection system.
Leverage current cybersecurity knowledge to interpret and contextualize findings, enabling informed decision-making and proactive measures to strengthen overall cybersecurity defenses.
Provide on-the-fly support during customer incident response events and penetration testing exercises by leveraging expertise to promptly detect and block security threats.
Research various network behaviors and patterns.

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 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 hiring an experienced Product Analyst to join our data team. As part of this position, you will work closely with our product groups and you will take a significant part in decision making and proactively guide our business growth, based on data analysis and statistical research. You will work independently and as a team member on the most interesting and innovative analysis that is available in the online industry. This is a unique opportunity to join our analytical team.
 
What am I going to do?:
* Analyze and derive actionable optimizations with the goal of improving User Experience.
* Provide supporting data for prioritizing new features and initiatives.
* Plan, monitor and analyze AB tests for new features.
* Make data accessible by well-defined tracking and processes.
* Create optimal monitoring and visibility by building reports, alerts, and dashboards.
* Manage multiple tasks at a time in a fast-paced environment.
*  data and analysis focal point of product & engineering teams.
Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.

This Intern role plays a crucial part in supporting the company Industrial print department, ideal for individuals passionate about AI and automation, data analysis, dashboard development, operational efficiency and project coordination. This role involves extensive collaboration with teams to build, improve and maintain key analytical tools and reports, crucial for effective decision-making. The intern will be engaged in a part-time role (50-60%), requiring strong coordination with global teams with flexibility to different time-zones.
Key Responsibilities
Sales Funnel Dashboard Development: Define, build, automate and maintain a dashboard for the sales funnel, focusing on effective data visualization and analysis.
Business Dashboard Creation: Develop and maintain a reliable & comprehensive dashboard adopted by stakeholders to track and report key metrics in the targeted sector.
Reporting: Delivering accurate, insightful analytical outputs that support business decisions.
Driving AI transformational projects including AI agents / automation tools

Our data analyst will be responsible for organizing data related to engineering statistics, head quarter demands, or other behaviors. Utilizing technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals and the organization make better decisions.
Another integral element of the data analyst is Exploratory Data Analysis Project. In such data analyst projects, the analyst needs to scrutinize data to recognize and identify patterns.
Responsibilities
Developing and maintaining databases, and data systems - Reorganizing data in a readable format
Performing analysis to assess the quality and meaning of data
Filter Data by reviewing reports and performance indicators to identify and correct code problems
Preparing reports for the management stating trends, patterns, and predictions using relevant data
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.
Creating Dashboards and Reports - Data analysts need to be able to create dashboards and reports that communicate insights to stakeholders.

Analyze customer trends (volumes, GS, trade margin, promo spending) and identify opportunity areas in terms of promo spending, assortment and product mix.Manage price promo lever defining its features (trend, extension, depth, SKU, ) and spending efficiency recommendations.
Analyze A&P spending, with a channel/customer perspective, checking its effectiveness and efficiency.
Main Responsibilities:
Analyze sell-in and sell-out trends and share insights with relevant teams.
Monitor customer trade margins and identify risks and opportunities.
Track price evolution and PPA by category.
Support Marketing in pricing strategies and provide recommendations to Sales.
Evaluate promotional operations effectiveness and ROI.
Define promo standards for cross-channel and benchmark promotional strategies.
Ensure contract compliance, lead cross-functional meetings, and manage all contract changes from start to finish.

We are seeking an Analytics Functionality Analyst to join our Analytics engineering group. In this role, you will serve as a crucial partner to the Product Manager, facilitating the translation of complex analytics into actionable steps for functional software delivery. This hybrid position combines robust analytical skills with a keen understanding of engineering processes, allowing the Product Manager to focus on the strategic what and why, while you ensure clarity on the operational how.
What youll do:
Feature Translation: Convert high-level analytical concepts and product features into clear, functionally defined user stories that capture algorithmic and statistical nuances for the engineering team.
Collaboration with Engineering Teams: Work closely with developers and data scientists to assess feature feasibility, identify edge cases, and establish thorough testing and validation criteria within the engineering environment.
Customer Engagement: Participate in technical discussions with customers, especially when deep modeling insights or analytics expertise are required, to gather feedback that informs engineering decisions.
Documentation Authority: Own the documentation of analytics functionality, positioning yourself as the internal authority on modeling logic and assumptions, thereby ensuring consistency and clarity across engineering projects.
Support Engineering Testing: Drive the testing and validation of implemented models and features, ensuring they function as expected from an analytics perspective and contributing to overall product quality.

a Senior Data Engineer should have strong communication and collaboration abilities, as they will be working closely with other members of the data and analytics team, as well as other stakeholders, to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with the overall business goals and objectives.

What You'll Do
Work closely with data scientists/analytics and other stakeholders to identify and prioritize data engineering projects and to ensure that the data infrastructure is aligned with business goals and objectives
Design, build and maintain optimal data pipeline architecture for extraction, transformation, and loading of data from a wide variety of data sources, including external APIs, data streams, and data stores.
Continuously monitor and optimize the performance and reliability of the data infrastructure, and identify and implement solutions to improve scalability, efficiency, and security
Stay up-to-date with the latest trends and developments in the field of data engineering, and leverage this knowledge to identify opportunities for improvement and innovation within the organization
Solve challenging problems in a fast-paced and evolving environment while maintaining uncompromising quality.
Implement data privacy and security requirements to ensure solutions comply with security standards and frameworks.
Enhance the team's dev-ops capabilities.