דרושים » תוכנה » Data Analyst

Prisma Photonics is a rapidly growing startup company, developing the next-generation smart-infrastructure solutions based on novel fiber-sensing technology. The company offers an award-winning disruptive solution: a “sensor free” approach to smart infrastructure. The company is VC backed and in the revenues stage. Combining pioneering technology in optical fiber sensing with state-of-the-art AI, we help protect human lives and keep critical energy. We're seeking a Senior 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 you’ll dive deep into data related to power line capacity, macro-scale and micro-scale weather, grid resilience, conductors and more. Your work will directly influence how we optimize grid performance and respond to the challenges of today’s 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. You’ll thrive here if you enjoy blending technical expertise, critical thinking, and business understanding to drive smarter, data-informed decisions.

What You’ll Do:

* Collect and integrate data from various sources, including fiber-based data, weather stations, line sensors, and SCADA systems.
* Be a part of the product management team - explore customer needs, define data products and processes, and align outputs of the data science team with the company roadmap.
* 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 Dynamic Line Rating (DLR) systems and grid resilience detectors and identify opportunities for improvement.
* Provide data-driven insights and recommendations to support decision-making processes.
* Interpret and communicate results to customers and management in a clear and concise manner.
* Present key findings of your analysis to customers around the globe.

What You Bring:

* B.Sc. degree in a related field. (M.Sc./Ph.D. is an advantage)
* Experience with AI-native development environments and automation with coding agents.
* At least 5 years of experience in data analysis, business intelligence, or a related field.
* Proficiency in data analysis tools such as SQL, Python (Pandas, Jupyter, Plotly).
* Experience with product management skills, driving data science and data engineering teams, experience with open ended data tasks and explorations.
* Knowledge of statistical analysis techniques and methodologies.
* Familiarity with database management systems and data warehousing.
* Strong data visualization and presentation skills in English (foreign customers).
* Experience with data visualization tools like Tableau, Power BI, Grafana, Python Plotly or similar.
* Excellent communication and teamwork skills.
* A curious mindset and a passion for solving complex problems.

As we scale and evolve our fully automated fraud prevention strategies, we are seeking a Data Analyst to join our growing Fraud Analytics team.
We operate in a data-rich, fast-paced environment, processing billions of data points annually, and play a critical role in safeguarding large enterprises from fraud. In this role, you will work at the intersection of data analysis, fraud strategy, and automation, collaborating closely with engineering, data science, and commercial teams to develop scalable fraud detection solutions.
This is a high-impact role with significant ownership and cross-functional collaboration in a team with tremendous room for growth. If you are highly motivated, data-driven, and thrive in a fast-moving environment - you belong with us.
Key Responsibilities
Develop and refine fraud detection strategies by analyzing complex datasets and identifying fraud patterns.
Partner with cross-functional teams, including software engineers, data scientists, and commercial stakeholders, to develop scalable fraud solutions.
Conduct deep-dive risk analyses, leveraging multiple data sources to assess fraud threats and define innovative solutions.
Monitor and automate fraud detection processes to enhance efficiency and effectiveness.

we are looking for a Data Analyst (Maternity leave).
As part of data team, you will be the gateway of data from multiple sources and of multiple partners. The data team is a part of research & data science department, and its mission is to integrate, align, analyze, and extract data to serve decision making processes across.
Responsibilities:
Define and implement data policies, logics, and structures that will best serve the companys capability to improve its modeling, business understanding, and strategic decision making.
Own and create end to end data products, from raw data to monitoring and analysis tools.
Write and execute complex SQL queries for data retrieval and alignment.
Prepare on demand data analysis and reports for various stakeholders including management using Python/SQL/other data analysis instruments, processing large and complex data sets.
Full responsibility for new partners' data integration process, including business requirements definition, data processing and verification.
Explore new data sources and communicate insights to partners, internal stakeholders, and management.
Work closely with cross-functional teams, such as research, engineering, product, and finance, to define business needs and design data models to serve them.
Gain a wide knowledge of operational, business, and technological activities in order to add value and support achieving goals.
Assist to create structured data processes that will enable the companys scalable growth.

Were looking for a sharp and driven Product Data Scientist 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 Product Data Science 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 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

Were looking for a Data & Analytics Team Lead to manage and grow our data team and own the data layer behind our AI. Youll lead a team of data analysts responsible for neural-network model analysis, model performance tracking, customer-facing and internal BI. Youll act as both the people manager and the technical lead for the team, setting technical direction while staying hands-on.
Youll thrive in this role if youre passionate about turning data into better AI products, enjoy solving complex analytical problems, and like working at the intersection of Data, Analytics, and Artificial Intelligence.
Responsibilities:
Lead the data strategy supporting AI model development, evaluation, and continuous improvement
Define KPIs and monitoring frameworks for AI model performance.
Analyze NN model outputs, build and maintain model-tracking and performance-evaluation workflows
Drive close calibration with the Algo, Product, and Data Engineering teams to align data definitions, pipelines, and metrics
Stay hands-on with SQL, Python, BI tooling, and the modern data stack
Build and own agentic data workflows - designing the context, tooling, and data access that let AI agents reliably query, analyze, and act on company data

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 Big 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 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.
As a Data Analyst, you'll play a key role in shaping product strategy and business decisions by turning complex data into actionable insights. You'll partner with Product, Engineering, and customer-facing teams to build scalable analytics solutions, define success metrics, and uncover opportunities that drive impact across our platform
What youll do:
Own the product analytics domain for key Autofleet products and strategic initiatives, with a focus on user behavior and product engagement.
Design, build, and own our product analytics infrastructure (event tracking, taxonomy, instrumentation) from the ground up, primarily using Mixpanel.
Define and maintain a clean, scalable event-tracking taxonomy in partnership with Engineering and Product.
Analyze large-scale product and behavioral datasets to identify trends, opportunities, and business insights.
Design, build, and maintain dashboards and reporting solutions using Mixpanel and other modern BI tools.
Develop automated data pipelines and analytical workflows using Python and Airflow.
Partner closely with Product Managers to define KPIs and metrics (activation, retention, funnels, engagement), measure success, and support product decision-making.
Work with customer-facing teams to provide insights and occasionally participate in customer discussions and presentations.
Build internal tools and processes that improve data accessibility and operational efficiency.
Translate complex data findings into clear recommendations for both technical and non-technical stakeholders.

we are looking for a Risk Data Analyst.
As part of Risk Management team, you will be a part of a pivotal, growing organization within the company. The Risk Management departments mission is to analyze, review, and mitigate risk in decision making processes across .
As part of your role, you will:
Support the fair lending lifecycle including monitoring credit underwriting policies for disparate impact and conducting demographic portfolio analyses. Maintain regulatory compliance reporting and partner with cross-functional teams to identify risks and implement less discriminatory alternatives, as well as providing thorough documentation of all of the above.
Own end-to-end data products, from extracting raw data from complex datasets to developing sophisticated analyses, monitoring systems, and reports using Python, SQL, and other analytical tools.
Translate complex data models into actionable business intelligence with the goal of improving modeling, business understanding, and strategic decision making, as well as clearly communicating complex findings to partners, internal stakeholders, and management.
Partner with cross-functional teams across research, operations, product, and engineering to proactively identify and manage risks associated with new models and/or policies
Continuously broaden your knowledge of operational, business, and technological landscape and identify and execute high-value initiatives that contribute to the company's strategic goals.
Leverage AI-driven tools to automate workflows and drive operational efficiency across the team

We are seeking a Data Analyst to drive data-informed decision-making and unlock insights that directly fuel our growth. Your mission will be to ensure smooth operations, optimize processes, and maximize efficiency across the organization. As our Data Analyst, you will work with large-scale datasets to identify trends and generate strategic insights. You will collaborate with cross-company teams to ensure the smooth maintenance and daily operations of our flagship product, while driving business analysis and identifying growth opportunities.
Every team member is a versatile contributor, shaping the product from user experience to development, and you will play the same integral role. We value passion for building products end-to-end, across UX, design, testing, and deployment, while always keeping the user experience at the center.
Responsibilities:
Analyze data in our flagship product to uncover trends and deliver actionable insights.
Build and maintain BI dashboards and reports for decision-making.
Design efficient processes and standards for streamlined operations.
Translate business questions into clear, measurable analyses.
Ensure data quality through risk evaluation and QA practices.
Monitor operational performance and recommend improvements.
Integrate and manage data structures to support growth and scalability.

We're looking for an experienced Data Analyst to join our growing Data team and help shape one of the core functions at our company.
This isn't a traditional BI or Product Analytics role. You'll work across engineering, data science, product, research, and customer-facing teams to understand complex data from enterprise environments, transform it into a consistent data model, and generate insights that directly power our product and customer experience.
You'll wear multiple hats-from researching new data sources and designing scalable data models to supporting customer onboarding, surfacing meaningful insights, and helping define how our data platform evolves as the company grows. This also means getting hands-on in the codebase: you'll regularly modify logic in production system components, not just analyze data from the outside.
If you're someone who enjoys turning messy data into clear decisions, thrives in ambiguous environments, and wants to build the foundations of a data function from the ground up, we'd love to meet you.
What You'll Do
Research and evaluate new customer data sources, APIs, and integrations, understanding what data is available, how reliable it is, and how it can create value.
Analyze large, complex datasets to identify patterns, anomalies, and actionable insights that improve our product and customer outcomes.
Design and evolve our company's data models, creating a unified language across data coming from multiple integrations and systems.
Partner closely with Engineering and Data Science teams to define schemas, data structures, and scalable modeling approaches.
Build and modify logic in system components as part of regular delivery, not just spec it for someone else to build.
Support customer onboarding by validating incoming data, identifying issues, and ensuring customers receive meaningful insights from day one.
Deliver customer-facing analyses, reports, and recommendations while working against real customer deadlines.
Help define the foundations of our company's data function by evaluating tools, methodologies, and best practices that will scale with the company.
Work closely with Product to ensure product decisions are informed by data and grounded in real customer behavior.
Collaborate on AI-powered capabilities by helping define the data, signals, and requirements that enable intelligent product features and autonomous workflows.