דרושים » תוכנה » Data Researcher

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.

We are looking for a Product Data Analyst specialist to join our growing Product Data Analyst team. This role is a unique opportunity for someone passionate about data to gain hands-on experience in a product-centric, data-driven environment.

Youll work closely with product managers, analysts, and engineers to help shape the way we measure, understand, and improve our products. This is an ideal position for someone at the beginning of their data career whos eager to learn, take ownership, and make an impact.

Responsibilities:
Detection Engine Ownership: Own and optimize key parts of CHEQs detection engine and database using analytical tools and best practices.
Cross-Departmental Collaboration: Work with Product, Engineering, Sales, Customer Success, and Security to deliver actionable data insights.
Product Support & Prototyping: Support product decisions through data exploration, insights, and prototypes for new features or tools.
Insight Discovery & Innovation: Analyze traffic and product data to identify trends, anomalies, and new product opportunities.
Internal Enablement Tools: Create internal services and dashboards to support field teams before features are fully productized.
Ad Hoc Analysis & QA: Investigate client issues, bugs, and QA concerns through on-demand analysis and validation.
Data Storytelling: Present insights clearly via dashboards, reports, and visualizations for diverse audiences.

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.

Were Looking for a Product Analyst Join Our Data Driven Journey!
As a data-driven organization, insights from our Data Team are essential to shape our strategy and improve the experiences of our customers. Were looking for a highly motivated data analyst to join our team and work in a dynamic Big Data environment.
You are detail-oriented, analytical, and passionate about understanding user behavior. In this role, youll turn data into actionable insights, influence product decisions, and help drive the success of our platform.
Key Responsibilities:
Analyze user behavior: Monitor and evaluate website activity patterns and user flows to enhance usability and customer experience.
AB Testing: Conduct in-depth analysis of AB tests to provide stakeholders with actionable, data-driven recommendations for product and user value enhancements.
Metric Monitoring & Insights: Track product performance metrics, identify trends, and raise alerts on significant changes. Perform periodic and ad-hoc analyses to recommend impactful solutions.
Visualization & Reporting: Create and maintain dashboards, reports, and daily summaries that present key SaaS metrics and actionable insights.
Collaborate Cross-Functionally: Work closely with teams across Product, Marketing, Customer Success, Finance, and Management to support data-driven decision-making.
Nice to know:
Our amazing offices are based in Rothschild, Tel Aviv
Our hybrid work model entails working four times in the office and one time from home.

We are looking for a Business/Data Analyst.
Job Description:
Own the design of data models that transform raw data into actionable insights, and define their strategic use to inform decisions that fuel growth and optimize marketing strategies.
Leverage technical skills to work with vast amounts of data, establish measurement frameworks, and analyze results to align activities with north star objectives and identify areas for growth.
Conduct funnel and behavioral analyses, research key metrics, and extract actionable insights to enhance user journeys and uncover new opportunities
Collaborate with teams across Marketing to understand business needs, translate them into data solutions, and align efforts with strategic goals.
Create and execute A/B tests, evaluate results with statistical rigor, and provide deeper insights from detailed analysis to inform ongoing optimization.
Build automated tools, design dashboards, and empower stakeholders to track and understand key metrics, making data both accessible and actionable for strategic decision-making.

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 strategic and data-driven Business Data Analyst to join our team!
In this role, you will play a key part in analyzing business performance, customer acquisition, and go-to-market strategies.
You will explore various data sources, develop key performance metrics, and identify opportunities to optimize our market penetration and customer engagement initiatives. Your insights will support strategic decision-making and help drive growth across marketing functions.
You will leverage your analytical expertise to deliver actionable insights that influence our business strategies and performance.
Responsibilities:
Develop a deep understanding of data models related to customer acquisition, marketing funnel, new products launches, revenue, and overall business performance.
Design and implement new data models, KPIs, and predictive analytics to support go-to-market and strategic initiatives.
Build, maintain, and monitor reports, dashboards, and metrics to track business health and growth targets.
Analyze data to identify trends, opportunities, and risks across customer segments and market channels.
Communicate insights and strategic recommendations to executive leadership and cross-functional teams.
Collaborate with stakeholders to align data initiatives with business objectives and become a trusted analytics partner.

Together with our customers, were helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary
Product Data Analyst (10 months replacement for maternity leave)
Overview
This is a 10-month temporary contract
Were looking for a Product Data Analyst to join the team at Dynamic Yield by and play a critical role in shaping our product through data-driven insights. In this role, youll collaborate closely with product managers, engineers, designers, Customer Success, and other cross-functional stakeholders to understand how customers interact with our product and how we can continuously improve their experience.
You will take ownership of data for key product domains,, establishing meaningful success metrics, analyzing feature adoption and performance, and delivering insights that directly influence the product roadmap.
Your work will empower smarter product decisions and help deliver tangible value to our clients. This role offers a unique chance to influence the evolution of a leading experience optimization platform, empowering some of the worlds top brands to deliver personalized, data-informed digital experiences at scale.

Role
Work closely with product managers to define and refine KPIs and success metrics that align with product goals. You'll support planning, feature evaluation, and post-launch performance assessments to ensure product decisions are data-driven and measurable
Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models
Analyze user behavior and product usage patterns using quantitative methods to identify pain points, usage trends, and feature adoption
Build and maintain dashboards and reports that empower product and business stakeholders with timely, actionable insights. Youll ensure key metrics are easily accessible and accurately reflect performance across initiatives.
Contribute to the development and maintenance of data models and assist in maintaining scalable, trustworthy ELT pipelines. Youll help shape the underlying data layer that powers analytics across the product and business.

Monitor KPIs and drive continuous efficiency improvements

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're seeking a talented and data-driven Product Analyst to join our team for a new role that will have a significant impact on our business. You'll play a key role in shaping our product's future by helping to build robust data structures, optimizing processes, and creating insightful visualizations. The position requires strong product and data understanding, working closely with the product and data engineering teams. You will develop processes, tools, and visualizations for the company and generate data-driven insights that directly influence product development, user experience, and ultimately, revenue growth. As a Product Analyst, you will be part of a team that brings superpowers to our product team to allow the company to achieve its ambitious goals.
Roles and Responsibilities:
Develop data tools, dashboards, and visualizations that are insightful, straightforward, and uncover growth opportunities
Work closely with the product teams to identify opportunities and measure their impact
Define tracking events for development teams to implement, and define the business logic behind tables and views for BI engineering teams
Monitor performance metrics, identify abnormal trends, and deep dive into the root cause
Design experiments to test the validity of hypotheses on product and user experience optimization