לוח משרות דרושים Data Analyst בשרון

Power the Future with us!
Our company is a global leader in high-performance smart energy technology, with over 5000 employees, offices in 34 countries, and millions of products installed in over 133 countries.
Our diverse product offering comprises intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems.
By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive.
We are looking for a Marketing data Analyst who will join the Global Digital Marketing team, provide valuable insights to drive our Demand Generation efforts, improve overall business performance, and enhance both our B2C activities and our Account-Based Marketing (ABM) approach.
Propose new ideas to optimize and improve our marketing activities and guide the Marketing department's decision-making by providing actionable insights to support the teams' KPIs.

Responsibilities:
* Owning all Marketing analytics aspects.
* Manage global marketing analysis and reporting.
* Optimize and enhance our marketing database, develop and maintain our dashboards and provide data -driven testing hypotheses and strategies to support marketing and other customer conversion & retention efforts.
* Translate business objectives into clear and actionable performance dashboards.
* Data Visualization: Create and optimize dashboards and reports, to allow data -driven business decisions that will support the company's growth and KPIs.
* Develop and maintain cross functional data analytics systems and processes that allow for optimization of automated efforts, identifying areas for improvement and making recommendations for new opportunities.
* Work collaboratively with many stakeholders across multiple teams in the company.
* Working with local marketing teams across the world to ensure that the results of analytics are communicated, understood and utilized.
* Serve as Marketing Analytics expert on funnel health and conversion.
* Hands-on with Google Analytics, data Studio (developing and implementing reports, dashboards & visualizations).
* Hands-on with Performance optimization, Query optimization.
* Provide training for end-users.
Location- Herzliya.

If you see yourself in the front line of the cybersecurity domain as a data forensic and incident response (DFIR) talent, your place is with us. As a DFIR team member, you will participate in hands-on security research and investigations, helping our customers understand and mitigate cyber threats and attacks.
Responsibilities:
Perform incident response lifecycle and real-time activities, including detection and analysis, containment and eradication, and recovery
Perform incident response in a cloud environment (Azure, AWS, etc.).
Perform digital forensics investigations
Research and analyze tactics, techniques, and procedures (TTPs) used by malicious actors
Perform hunt-evil and find-evil activities for proactively detecting attacks
Work closely with our in-house red team, CTI, and cyber architect teams
Work closely with worldwide companies, CISOs, and technology experts

Required Senior Business Process Analyst, Contingent Workforce
Job Description:
The Senior Contingent Workforce Business Process Analyst will be responsible for leading the evaluation, optimization, and implementation of sophisticated processes related to the management and utilization of contingent workers within Wester Digital. This role involves applying advanced analytical skills to identify complex workflow inefficiencies, driving strategic initiatives, and collaborating with cross-functional teams to elevate the management of temporary, contract, and freelance personnel.
Key Responsibilities:
Process Strategy and Design:
Lead the development and execution of the organization's contingent workforce process strategy, encompassing sourcing, onboarding, contract management, performance evaluation, and offboarding.
Collaborate with key stakeholders to identify opportunities for process enhancement, automation, and alignment with business objectives.
Design end-to-end processes that maximize efficiency, compliance, and the overall experience of contingent workers and internal stakeholders.
Process Analysis and Optimization:
Conduct comprehensive analyses of existing contingent workforce management processes, identifying pain points, bottlenecks, and areas for improvement.
Utilize advanced data analytics to generate insights and recommendations for process optimization, cost reduction, and risk mitigation.
Implement process improvements and track their impact on key performance metrics.
Technology Integration and Innovation:
Evaluate and select advanced technology solutions and tools that enable seamless contingent workforce management.
Collaborate with IT and procurement teams to oversee the implementation, integration, and maintenance of technology platforms.
Drive innovation by exploring emerging technologies, such as AI, machine learning, and analytics, to enhance contingent workforce processes.
Cross-Functional Leadership:
Collaborate with HR, legal, compliance, finance, and other departments to ensure cross-functional alignment and cohesive execution of contingent workforce strategies.
Act as a subject matter expert and thought leader in contingent workforce management, contributing insights and recommendations to senior leadership.
Compliance and Risk Management:
Stay abreast of evolving labor laws, regulations, and compliance requirements related to contingent workforce management.
Develop and maintain robust processes and documentation to ensure compliance with legal and regulatory standards, including proper worker classification and contract terms.
Strategic Planning and Reporting:
Develop and maintain detailed project plans for process improvement initiatives, ensuring milestones and deliverables are achieved.
Generate comprehensive reports and dashboards that provide visibility into contingent workforce metrics, performance, and outcomes.
Present findings, progress, and recommendations to senior management and key stakeholders.

We are looking for a passionate BI System Analyst to join our BI Team.

As a BI System Analyst, you will translate business requirements to detailed design documents, using data mapping, diagrams, business logic for developers and testers for new projects and supporting existing processes.

Your role:
Requirements gather and design unique and simple solutions to meet immediate and long-term needs of business customers.
Support Back and Front teams throughout the development phase.
Support Testing, including the Definition of Acceptance Criteria.
Design best practices for performance, scalability, and ease of maintenance.
Juggle various projects and tasks simultaneously.
Get the opportunity to work in a fast-paced and dynamic environment.

Analyzing the behavior of users on our site and apps:
-Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.

-Answer questions about site usage or user behavior based on deeper analyses.

Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
Split tests of product features:
-Design a test with clear success criteria

-Monitor test integrity

-Analyze results and give recommendations

-Use segmentation and clear cohort analysis to validate significant conclusions

-Conduct exploratory analysis to identify trends and opportunities

We are looking for an Analysis Team Leader in the AI and Data Department.
As the Analysis Team Leader, you will be responsible for leading a team of data analysts, ensuring that their work provides actionable insights that drive strategic decision-making across the organization. Your role will involve overseeing the analysis of large datasets, developing data-driven strategies, and ensuring that the insights generated by your team are aligned with the company’s business objectives. You will collaborate closely with cross-functional teams, including data scientists, data engineers, product managers, R&D teams, and business leaders, to ensure that analytical insights are effectively integrated into product development, operations, and strategic initiatives. ? Lead, mentor, and develop a team of data analysts, providing technical, methodological, and business guidance, training, and support to ensure high-quality output and professional growth. ? Oversee the team’s workflow, ensuring that analytical projects are delivered on time, within scope, and aligned with business objectives. ? Lead the maintenance of structured and standardized work methodologies in the field of data analytics, ensuring consistency and enhancing data-driven business decision-making. ? Oversee the analysis of complex datasets to extract actionable insights that drive business growth. ? Initiate, develop and implement data-driven strategies that support product development, customer service enhancement, operational efficiency, and customer retention. ? Work closely with business leaders, product managers, and other stakeholders to understand their analytical needs and ensure that insights are aligned with business goals. ? Translate complex analytical findings into clear, actionable recommendations that can be easily understood and implemented by non-technical stakeholders. ? Collaborate with cross-functional teams to integrate data insights into business processes, product development, and strategic decision-making.

Required Business Analyst
Youre invited to Join us, the greatest gaming family that brings a new twist to classic games by introducing them to the world of online casual games.
Responsibilities:
Be the data and analytical lead on all kinds of projects, while working closely with Product & CRM teams.
Extract and analyze large and multi-dimensional datasets in a gaming environment using a variety of BI tools.
Design, execute, measure, and optimize the core business models and provide actionable recommendations and conclusions from game data to shape features, game economies, and future product roadmaps.
Develop and run quantitative analysis, reports, and more with the end goal of supporting our monetization efforts.
Identify business gaps and suggest solutions to impact the business KPIs.

Required Real-Time Data Analyst
Description:
We develop electrochemical hybrid systems for hydrogen generation using our novel technology. We are looking for a skilled and detail-oriented SQL Database and Real-Time Data Analyst to join our team. The ideal candidate will be responsible for updating and maintaining our SQL databases with data from real-time systems and sensors. This role will involve manipulating data for analysis, creating visualizations using Grafana or Power BI, and developing GUI programs for online graphs and real-time system analysis using Python.
Key Responsibilities:
SQL Database Management:
Manage, update, and maintain SQL databases to ensure data integrity and availability.
Integrate real-time data from various systems and sensors into the SQL database.
Perform regular database maintenance, optimization, and troubleshooting.
Data Manipulation and Analysis:
Clean, preprocess, and manipulate data for in-depth analysis.
Use SQL queries to extract, transform, and load (ETL) data as needed.
Analyze data to identify trends, patterns, and insights to support business decisions.
Data Visualization:
Create and maintain interactive dashboards and reports using Grafana or Power BI.
Continuously improve and update visualizations based on user feedback.
Development:
Develop GUI programs for online graphs and real-time system analysis using Python, C#, VB.net, or Java.
Implement algorithms and data processing techniques in the chosen programming language.
Ensure the reliability and performance of the applications.
Collaboration and Communication:
Work closely with cross-functional teams to understand data requirements and deliver solutions.
Provide technical support and training to team members and end-users.
Document processes, workflows, and best practices for database management and data analysis.