דרושים » תוכנה » Data Analyst

Were seeking a Data Analyst to take a key role in unlocking the value of our vast datasets collected over years and across a diverse client base.

In this role, youll dive deep into data related to power line capacity and grid resilience, using advanced monitoring systems, weather data, and line ratings. Your work will directly influence how we optimize grid performance and respond to the challenges of todays energy landscape.

This role requires a combination of technical skills, analytical thinking, and business acumen. The ideal candidate is highly skilled in data analysis techniques and tools and has a strong ability to translate data insights into actionable recommendations.

Youll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

The Data Analyst reports to the Prisma Power Product Director.

What Youll Do:
Collect and integrate data from various sources, including weather stations, Prisma sensor, line sensors, and SCADA systems.
Ensure data quality and consistency for accurate analysis and reporting.
Conduct statistical analysis and use data visualization tools to present findings.
Monitor and evaluate the performance of DLR systems and resilience detectors and identify opportunities for improvement.
Provide data-driven insights and recommendations to support decision-making processes.
Interpret and communicate results to stakeholders in a clear and concise manner.

We are seeking a Data Analyst with strong business acumen to join our FinOps team. This role combines cloud cost analysis with a deep understanding of financial and business impact, aiming to support strategic decision-making, budgeting, and cloud cost optimization.
The ideal candidate will be able to connect financial data, system usage units, and customer pipeline activity to assess their impact on costs, margins, and profitability. Beyond technical skills, we are looking for someone who can translate data into business insights and deliver clear, actionable recommendations to leadership.What Youll Do Day to Day
Perform in-depth analysis of cloud costs and their impact on key busness KPIs.
Calculate and analyze Cost per Unit determining how much it costs to deliver one unit of a service or product.
Track customer pipeline activity (including onboarding, POCs, cross-sells, etc.) to assess its effect on cloud spend and overall margins.
Build and present executive-level reports and dashboards for leadership and FinOps teams to identify cost drivers and optimization opportunities.
Monitor specific cloud services and applications to detect cost anomalies or unexpected increases, presenting findings with actionable recommendations.
Partner closely with Finance, Business, and R&D stakeholders to link financial outcomes with operational data and support data-driven investment decisions.

We are seeking a Senior Data Analyst position to join the BI Team, with a passion for technology, to solve unique problems within our measurements. Our team solves many challenges in turning raw data into accurate signals and extracting insights to improve the 365Scores products. Appropriate candidates have an understanding of multiple components across the big data stack: large-scale data analysis, data quality, statistics, and visualization. If you are the kind of researcher who's focused on results and a quick learner, this role is for you. This position is located in our Tel Aviv office.

Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.

our company Harmony SASE is a leader in VPN and network security, innovating how businesses operate in todays cloud-first, remote-work era. Our integrated platform delivers comprehensive protection at both the cloud and device level, serving a diverse and expanding customer base of over 3,000 businesses worldwide.
As a Data & Business Insights Developer, youll collaborate with a dynamic development group focused on building next-generation SASE solutions. Your work will emphasize data analytics, business intelligence, and security, directly influencing thousands of organizations by empowering data-driven decision-making and delivering impactful, high-quality products.
If you are passionate about transforming data into actionable insights and want to shape the future of cloud security, we invite you to apply and make an impact with our company Harmony SASE.
Key Responsibilities
Design, develop, and maintain robust data models, databases, reports, and dashboards to provide actionable business insights.
Collect, analyze, and interpret large, complex datasets to uncover trends, patterns, and opportunities for improvement.
Create, optimize, and enhance data visualizations and models to facilitate clear and effective decision-making.
Work closely with cross-functional teams to understand data needs and deliver tailored data solutions.
Identify anomalies and propose solutions to drive the continuous improvement of our products and business processes.
Ensure the accuracy, integrity, security, and privacy of all data managed and processed.

we are looking for a Data Analyst
What will you do?

Analyze large datasets and translate data into actionable insights for product and business improvements.
Create data visualizations and presentations to communicate insights effectively.
Identify and resolve data quality issues to ensure data accuracy and consistency.
Identify trends, correlations, and anomalies in data to support decision-making.
Evaluate the strategic impact of new data initiatives and work with business leaders to align them with company growth objectives.
Answer critical business questions by mapping, tracing, analyzing, and visualizing data.
Coordinate with data engineers and BI developers to gather new data points or create custom data frameworks for analysis.
Communicate with cross-functional teams (Marketing, Sales, Finance, Product, Engineering) to define data needs and provide analytical support.

We are seeking a Senior Data Analyst to join our team and take a leading role in shaping the future of our data science. We need your CTO-grade capabilities to incubate and launch the data product offering, creating value to our customers via reports and recommendations. This role is ideal for someone who thrives in a fast-paced, hands-on environment, enjoys working across disciplines, and wants to see their work go from concept to impact in the real world.

Today, this is a high-impact individual contributor role. However, it is intentionally structured to evolve into a leadership position. As our product, customer base, and data expand, youll be instrumental in building and leading a dedicated data science team, with full ownership of methodologies, tools, and people.

The Data Science Team Leader at Product will report to the VP Product.

What Youll Do:
Be a Prisma Photonics technology expert understand the ins and outs of how our products work.
Understand the physics underlying each product feature, devise the method by which the feature operates, and work with R&D to build, improve and deploy it.
Create our Data Product offering build a set of reports and recommendations to customers, exposing the value of the underlying technology.
Analyze customer data and field deployments to identify edge cases, improve models, and drive continuous product improvement. Bridge the gaps ad-hoc to bring immediate customer value, using AI and data analytics skills, as well as collaborating with R&D, Product, and AI teams.
Implement algorithmic solutions to solve urgent issues, with a clear path toward production deployment.
Once the business need arises and team expansion begins, take an active role in hiring, mentoring, and leading a team of data scientists and analysts.

We are looking for a Data Analyst to join our team.
The Data Analyst must have the ability to strategize, analyze and interpret business data to identify key insights and provide recommendations.
The successful candidate should have a proven track record of success in the field of business analytics.
Responsibilities
You will work with various internal & external datasets to extract insights and deliver actionable recommendations.
You will use your set of analytical skills, data mining techniques and statistical tools to identify trends, opportunities and threats that will support our growth.
You will communicate your findings to management and work closely with business leaders.
You will Design, execute and monitor ETL flows via SQL (dbt is our data tool).
You will Visualize data with dashboards to address key questions for the company's in-house teams like Sales, Marketing, CSM, Growth, and more.

We are looking for a Data Analyst to join our team and help us develop classifiers for detecting sensitive information and gain insights from data. The ideal candidate will have strong analytical skills, programmatic skills, and a critical eye for details. They must also be able to effectively communicate the results of their research.
Your Impact
Develop code for detecting sensitive information directly on the scanning engine
Research data types - How they are defined, how people manage them and how to detect them
Analyze performance of the data classification solution
Develop data-driven reports and presentations
Maintain up-to-date datasets in a rich cloud environment
Provide data-driven recommendations to team members.

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 Data Analyst to join our community!
As a Data Analyst, you will work with multiple stakeholders - Product Managers, Data Engineers, Data Scientists and more, to help us make more from our data.
Our mission is to empower security teams to safeguard their SaaS-Identity risk landscape. we discover and classifies risk across SaaS and web apps, uncovering risk prone identities and accounts to close security gaps, prioritize access controls, and achieve continuous SaaS and identity compliance.
Responsibilities :
Leading long term research to provide innovative insights for our product.
Take part in our warehouse modeling and writing our data catalog, enabling data democratization across the entire organization.
Define and implement data processing and operative workflows.
Work with relevant stakeholders to define how our system should be monitored and how root causes of underperformance can be identified.
Work closely with our data engineers and data scientists on maintaining and improving our models.
Contribute to a culture of learning and knowledge-sharing within the team.