דרושים » תוכנה » Head of BI

We are seeking an experienced Data Platform Engineer to join our Storage Analytics team. You will design and build data solutions that provide critical insights into storage performance and usage across Apple's entire device ecosystem.
Description:
Working with large-scale telemetry data from millions of Apple devices worldwide, you'll support multiple CoreOS Storage teams, including Software Update, Backup/Restore/Migration, Storage Attribution, and other storage domains.
Responsibilities
Design, build, and maintain scalable data processing infrastructure to handle large-scale telemetry from Apple's global device fleet
Develop highly scalable data pipelines to ingest and process storage performance metrics, usage patterns, and system telemetry with actionable alerting and anomaly detection
Build and maintain robust data platforms and ETL frameworks that enable CoreOS Storage teams to access, process, and derive insights from storage telemetry data
Engineer automated data delivery systems and APIs that serve processed storage metrics to various engineering teams across different storage domains

Power the Future with us! We're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. We offer amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. We are looking for a curious and detail-oriented Service data Analyst who is passionate about transforming data into meaningful business insights. In this role, you will play a key part in identifying trends and supporting data -driven decisions that enhance service performance and customer experience.
Key Responsibilities
* Collect and consolidate service-related data from various systems ( CRM, BI, Call Center platforms, etc.).
* Analyze service performance metrics such as response times, resolution rates, and customer satisfaction.
* Develop dashboards and reports for service teams and management.
* Identify trends, patterns, and areas for improvement in service operations.
* Collaborate with cross-functional teams (Operations, Quality, IS, Customer Support) to drive data -driven decisions.
* Provide actionable insights and recommendations to enhance service efficiency and customer experience.
Country:
Israel
City:
Herzliya

an innovative, data -oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. We are expanding rapidly our teams and business and are focused on adding like-minded, result-oriented, and high achievers talents. Are you an individual with a great personality, self-motivated, and a positive approach? Can you face and overcome challenges, agility, and focus that is required in a rapid-growth environment? If your answer is YES, we might be a good match!?Your Impact & Responsibilities:
* Work closely with marketing team, as well as - Product, BI, Monetization, and management, serve as our data focal point
* Collect, refine, and analyze large, complex data sets representing users behavior, see beyond numbers, and help to inform, influence, support, and execute our business decisions
* Plan and analyze effective A/B tests in order to improve business KPIs
* Build reports and dashboards to monitor product performance, key business metrics, and User Experience
* Be proactive and provide actionable recommendations and conclusions from app data to shape features, future product roadmaps, and business strategies

Advantages:

* Experience working with BigQuery
* Experience working with Power BI
* Experience working in cloud environments (GCP/AWS/Azure)
* Experience in Python or any other scripting language
* Experience with subscription based company (B2C)

We are looking for a Data Analytics Engineer.
What were looking for:
Analysis and optimization of raw/metadata according to the company requests
Development of dashboards, KPIs and metrics
Someone to come up with new ways to use our data to create value for our users
Someone to bring insights and suggestions to Product Managers, Sales, Customer Success, Management by conducting deep analysis and research
Ability to analyze and interpret needs, translating these needs into solutions and coordinate internal and external resources to accomplish results.
Work with our engineering teams to improve the visibility, serviceability, and quality of our product
Monitoring customers env. logs and product metrics to alert about changes/issues
Monitor customers on-prem and Cloud production environments
Collaborate with the internal R&D team to automate tasks wherever possible and implement a monitoring strategy to provide rapid feedback and diagnostics.
Create relationships with other departments, including Sales, Product Management, Engineering, and Customer Success, to make sure we provide services with high availability and superior performance for all our customers.
Familiarity and/or implementation experience with tracking and data collection techniques

At CodeValue , we specialize in delivering cutting-edge software solutions and driving innovation across industries. We are now looking for a Data Engineer to join our team and play a key role in building and optimizing large-scale Big Data systems in production environments.
Key Responsibilities
* Design, implement, and maintain Big Data pipelines in production.
* Work extensively with Apache Spark (2.x and above) , focusing on complex joins, shuffle optimization, and performance improvements at scale.
* Integrate Spark with relational databases, NoSQL systems, cloud storage, and streaming platforms
* Contribute to system architecture and ensure scalability, reliability, and efficiency in data processing workflows.