דרושים » דאטה » data Analyst

Required Data Analyst
Herzliya
We are a cutting-edge technology company that specializes in mobile attribution and marketing analytics. We are known for our rapid deployment of innovative solutions, handling over 150 billion requests daily focusing on data privacy and scalability.
The PR&D Analytics & FinOps team helps ensure that the product and R&D leadership make data-driven decisions. It supports the organization by connecting critical data aspects, allowing to see the bigger picture, providing insights, and leading the organization towards the right direction.
The PR&D Data Analyst is responsible for analyzing data extracted from various technological systems, transforming it into actionable dashboards that provide insights to hundreds of engineers and leadership teams every day.
What youll do
Use your strong technical skills to slice and dice the product and engineering processes: product delivery, product adoption, quality, cloud cost, planning & execution and more.
Analyze cloud cost and usage data to identify trends, anomalies, and optimization opportunities.
Create impactful dashboards, reflect the organization's KPIs, and allow monitoring of effectiveness, efficiency, delivery, etc.
Translate requirements into KPIs/ data analysis; drive for continuous improvement in all aspects.
Work with multiple stakeholders and interfaces, communicate data findings to different teams; serve as a point of contact for all analytics in this domain.
Strive to innovate, challenge, and bring new ideas to the decision-makers table.

Were looking for a talented individual with a pioneering spirit to join the Core Product Analysts Team.
This team plays a central role in shaping the direction of our most essential product offerings, by providing deep analytical insights and supporting data-informed decision-making across the companys core solutions.
The ideal candidate is highly technical, data-driven, and experienced in working with large-scale data platforms. As part of this team, you will be responsible for analyzing product usage and performance, identifying opportunities for innovation and optimization, and ensuring the accuracy and reliability of data across our core products. You will work closely with product managers, engineers, and cross-functional business stakeholders to deliver actionable insights and drive continuous product improvement.
What youll do:
Analyze large-scale datasets to identify trends, inefficiencies, and opportunities across our core products.
Develop and execute ongoing analyses to generate insights that support product strategy, design, and development decisions.
Create and maintain dashboards, monitoring tools, and ETL processes to enhance visibility into product performance and user behavior.
Propose, lead, and implement data-driven initiatives that improve product functionality, user experience, and overall business impact.

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 a fast-growing global medical device company, developing and manufacturing innovative drug delivery and infusion solutions across the continuum of care - from the hospital to the home. We are looking for an excellent data Engineer to join the winning team!
Job Description
We are looking to hire a highly skilled and experienced professional to fill the role of data Engineer. In this role, you will design, build, and maintain the data infrastructure that powers analytics, product innovation, and business decision-making across the organization. You will work closely with data scientists, data analysts, software engineers, product managers, and other teams to ensure reliable, secure and scalable access to data. We are seeking a detail-oriented professional with strong problem-solving skills, a passion for working with complex real-world data, and the drive to contribute to meaningful innovations in healthcare. We are looking for someone who is self-driven, brings a can-do spirit, and thrives in a collaborative, fast-paced environment where teamwork and clear communication are essential. Job Responsibilities: Design, develop, and maintain scalable ETL /ELT pipelines for ingesting, processing, and storing data from multiple sources Build and optimize data warehouses, data lakes, and other Storage solutions to support analytics and Machine Learning use cases. Collaborate with data scientists and analysts to ensure datasets are clean, structured, and accessible for advanced modeling and reporting. Implement data quality monitoring, validation frameworks, and automated workflows to ensure reliability and accuracy. Integrate data from disparate systems into unified views that support business intelligence and operational efficiency. Ensure compliance with healthcare data regulations and implement security measures to safeguard company data and systems. Research and adopt best practices in data engineering, cloud-native architectures, and modern data tooling. Support the deployment of data -driven applications into production environments.

Were looking for a highly technical, data-driven Data Analyst with a strong sense of ownership. In this role, you will be responsible for translating product data into business insights, measuring the impact of features and initiatives, and uncovering opportunities to drive revenue growth and customer value. Youll work closely with product managers, engineers, and business teams to support product development, guide strategic decision-making, and drive business growth.
What youll do:
Analyze large-scale datasets to identify trends, inefficiencies, and product opportunities in mobile attribution.
Develop and execute continuous data analysis to provide insights throughout the product development lifecycle.
Create and maintain dashboards, monitoring tools and ETL processes to improve visibility into attribution performance.
Suggest, lead, and implement new ideas and projects to improve our attribution models and overall product performance.

Required Business Data Analyst
Herzliya
Join the front lines of data-driven decision-making with a leading role!
Are you an analyst with a passion for driving impact across multiple disciplines? If youre curious, autodidact and enjoy solving diverse challenges, we might just have the role for you!
Were looking for an analyst who could support our go-to-market groups that consists out of: sales, CS, partnerships, Marketing and product.
This isnt just another number-crunching role; it's an opportunity to impact the operation of thousands of app marketers around the world, ranging from gaming to eCommerce, The ideal candidate will have strong technical skills, sharp business acumen, a true passion for learning new fields and extracting valuable insights from huge data sets.
What you'll do:
Design custom data solutions to tackle complex, cross-functional problems across our entire product suite
Build automated dashboards and tooling that enable Sales, Support, Product, and Partnership teams to extract actionable insights
Own analytical projects end-to-end in collaboration with Product Managers, Engineers, and the Analytics Guild
Improve team efficiency by developing robust data pipelines using Python functions and dbt over BigQuery and Athena
Communicate findings clearly to internal stakeholders and external partnersfrom technical peers to executives
Deliver high-impact analyses that support product development, customer engagement, and strategic initiatives.

Step into the financial core of a global SaaS leader with a key analytical role!
Are you a data-driven thinker with a strategic mindset and a passion for understanding the business behind the numbers?
Were looking for a Financial Data Analyst to help shape decision-making across our pricing, budget planning, forecasting, and market strategy. In this role, you'll collaborate with cross-functional teams- from finance to senior leadership- to turn data into actionable insights.
If you're technically strong, curious, and thrive in a fast-paced environment, this might be your next challenge.
What you'll do:
Conduct a thorough analysis of financial results, KPIs, pricing, promotions, and competitor activities to guide strategic decisions.
Define, monitor, and communicate performance metrics through dashboards, reports, and clear insights to stakeholders.
Provide actionable recommendations beyond the numbers to support and execute business and strategic initiatives.
Lead projects and process improvements to strengthen operational efficiency, controls, and forecasting across units.
Conduct market and competitor benchmarking, and develop economic models and databases to support management decision-making.

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

The Opportunity: We are seeking a highly experienced and visionary Director, Data &
Analytics to lead our data organization. Reporting directly to the VP of Data, GRC, IT, and
Security, you will be responsible for defining and executing Teads' data strategy, ensuring the
reliability, scalability, and impact of our data assets. You will lead five critical domains: BI
Engineering, Data Engineering, Data Platform, BI Product, and BI Labs (Data Science),
fostering a culture of data excellence, innovation, and partnership across the company.
This role requires a unique blend of deep technical expertise, strong leadership capabilities, and
a keen understanding of how data can drive business value in a fast-paced, data-intensive
environment.
What will you do?
Strategic Leadership: Develop and execute a comprehensive data strategy aligned with Teads' business objectives. Identify emerging data trends and technologies, and drive their adoption to maintain a competitive edge.
Team Leadership & Development: Lead, mentor, and inspire five diverse teams (BI Engineering, Data Engineering, Data Platform, BI Product, BI Labs), comprising talented engineers, analysts, product managers, and data scientists. Foster a high-performance culture, promoting continuous learning, collaboration, and career growth.
Data Engineering & Platform Ownership: Oversee the architecture, development, and maintenance of Teads' core data infrastructure, including data lakes, data warehouses, ETL/ELT processes, and real-time data pipelines. Ensure data quality, availability, and governance across all data assets.
Business Intelligence & Analytics Enablement: Drive the development of robust BI solutions, semantic models, and reporting infrastructure that empower business users with actionable insights.
Data Science & Advanced Analytics: Guide the BI Labs team (Data Scientists) in applying advanced analytical techniques, machine learning, and statistical modeling to solve complex business problems, identify business opportunities, and promote AI for predictive analytics .
Cross-Functional Collaboration: Partner closely with engineering, product, R&D, sales, marketing, and finance teams to understand their data requirements, deliver impactful data solutions, and evangelize data-driven decision-making across the organization.