דרושים » תוכנה » Data Analyst

We are now seeking a Product Analytics Team Leader to manage and grow a team of four exceptional product analysts. In this role, you will be responsible for scaling analytics capabilities, driving high-impact insights that inform product strategy, and guiding experimentation efforts across the organization. Youll serve as a strategic thought partner to senior product and business leaders, ensuring the effective use of analytics tools and methodologies. This position requires a strong understanding of product development, a deep analytical mindset, and excellent leadership skills.



Responsibilities

We are looking for a hands-on, experienced analytics leader who will:

Lead, mentor, and develop a team of 4 product analysts, fostering a culture of curiosity, critical thinking, and continuous learning.
Define and evolve At-Bays product analytics strategy, including KPI frameworks, event tracking standards, and experimentation processes.
Partner closely with product managers, engineers, designers, and senior stakeholders to identify key business questions, translate them into analytical projects, and deliver insights that shape product roadmaps and strategic decisions.
Promote analytics excellence by driving best practices in data instrumentation, experimentation design, statistical analysis, and business storytelling.
Lead the development and maintenance of dashboards and A/B testing frameworks to evaluate user behavior, feature performance, and product-market fit.
Conduct and oversee in-depth analysis of product usage, customer journeys, and market trends to uncover opportunities and solve critical product challenges.
Translate complex data findings into clear, actionable recommendations, effectively communicating insights to technical and non-technical audiences.
Stay current with trends in product analytics, data tooling, and emerging technologies to continuously raise the bar for the team and the broader product organization.
Champion data-driven decision-making throughout the product lifecycle-from ideation and development to launch, iteration, and sunset.

we are inventing a new way of managing IT end-to-end for IT professionals and IT teams around the world.
By creating an AI-powered IT platform, our company's all-in-one Remote Monitoring and Management (RMM) Helpdesk, Ticketing, and Reporting solution helps more than 23,000 IT pros achieve 10X operational efficiency, cut down time-to-resolution, and deliver better outcomes faster. Located in the heart of Tel-Aviv, our team of passionate, like-minded individuals is driven by a shared mission to unleash everyone's potential and constantly innovate. We create an open, transparent, and supportive environment that gives our teams the autonomy, resources, and freedom to thrive.
we are seeking a strategic and data-driven Business Data Analyst to join our team!
we are seeking a strategic and data-driven Business Data Analyst to join our team.
In this role, you will take a meaningful part in analyzing business performance, customer acquisition, and go-to-market strategies. You will work with multiple data sources, refine and develop key performance metrics, and surface opportunities to optimize our market penetration and customer engagement efforts. Your analytical insights will directly support strategic decision-making and drive growth across our marketing functions. You will leverage strong analytical expertise to deliver clear, actionable insights that shape our business strategies and overall performance.
Responsibilities:
Develop a deep and holistic understanding of data models related to customer acquisition, marketing funnel, new product launches, revenue, and broader business performance.
Design and implement scalable data models, KPIs, and predictive analytics to support go-to-market and broader strategic initiatives.
Build, maintain, and monitor reports, dashboards, and performance metrics to track business health and progress toward growth targets.
Analyze large and complex datasets to identify trends, opportunities, and potential risks across customer segments and market channels.
Communicate insights, findings, and strategic recommendations to executive leadership and cross-functional partners.
Collaborate closely with stakeholders to align data initiatives with business objectives and serve as a trusted analytics partner.

Analyze and interpret marketing data, including customer behavior, campaign performance, and market trends, to identify insights and opportunities for business growth
Leverage multiple complex big data sets to identify patterns, trends, opportunities, and threats to our marketing operations
Monitor and report on key performance indicators (KPIs) to track the effectiveness of marketing campaigns and initiatives
Develop and maintain dashboards and reports to communicate insights and recommendations to senior leadership
Use advanced analytics, data mining, business intelligence, and statistical tools, combined with a strategic and industry point of view, to drive marketing growth
Continuously identify and implement improvements to marketing processes and systems to increase efficiency and effectiveness
Be a leader in the marketing analysis field in the company

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 talented and dedicated ML & Big Data Analyst who will be a part of the Core Data group.
As part of this role, you will help us process and streamline rich and complicated datasets. Will explore and validate new data sources. Be part of the data science and data engineering force creating new features for our solution.
What does the day-to-day of a ML & Big Data Analyst look like:
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools that will ensure the quality of our data and algorithms.
Utilize your deep understanding of our data in order to evaluate and improve novel algorithms produced by the data scientists in your team.
Partner with Big Data Engineers to establish an infrastructure to scale solutions.

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.

AS a Senior Data Analyst to join our R&D team, you will be responsible for- shaping how we understand data, drive insights, and influence strategic decisions across the company. Youll work closely with teams across to uncover trends, identify opportunities, and help guide the direction of our business.



Your Chain of Impact:



Identify, analyze, and interpret trends or patterns in complex datasets to uncover actionable insights.
Partner with cross-functional teams to understand business needs and design data-driven solutions.
Analyze large datasets to provide clear, impactful recommendations that support operational and strategic goals.
Develop scalable data processes and infrastructure to support internal stakeholders.
Build and maintain dashboards, reports, and KPIs to monitor and improve company performance.
Translate business questions into analytical models and craft compelling data visualizations that tell the story.

Join our team as a Data Analyst and become part of our expert team, specializing in processing high-quality geographic data, databases, and layers to drive innovative solutions in the GIS world. Dive into technical research, automated process development, and critical decision-making to revolutionize real-time infrastructure data accessibility.



Responsibilities

Process and analyze geographic data, databases, and tabular data with a focus on high-quality outputs.
Conduct technical research, assess the relevance and quality of geographic data layers, and make informed decisions regarding their usability.
Contribute to the development of broader automated processes aimed at enhancing data analysis capabilities.
Design tools for statistical analysis and automation to improve efficiency and accuracy in handling geographic data.
Utilize expertise in GIS and mapping to interpret and manipulate geographic data effectively.
Collaborate with team members to ensure the accuracy and relevance of geospatial information for real-time data product features.

We are seeking a hands-on, impact-focused, and highly motivated Business Analyst. The ideal candidate will optimize performance through data, transforming insights into actionable recommendations that inform business decisions.

Responsibilities:
Analyze business performance metrics (marketing campaigns, product funnel, websites) to identify areas for improvement.
Work closely with cross-functional teams, including media buyers, product managers, account managers, and engineers, to improve our data infrastructure and provide useful data tools.
Develop and maintain dashboards and reports to track business and user engagement KPIs.
Design and implement rule-based models to enhance media buying strategies.
Analyze A/B tests that introduce new features and enhancements to our flows.
Prepare and present analytical findings and recommendations to stakeholders including top management.

We are looking for a talented, intelligent, passionate, caring, and driven individual Data Analyst to join our team.
What youll do:
Work across multiple solar energy data sources to proactively provide actionable insights for our clients, product, and the companys strategy as a whole.
Support ongoing commercial processes by carrying out ad hoc analysis using raw data and beta features according to business needs.
Working closely with the Algorithm team to deeply investigate new beta features from the business point of view, and have a close and quick feedback loop to improve them.
Define the business logic behind the AI features when identifying technical gaps.
Lead and push end-to-end processes, by collaborating with all relevant stakeholders R&D, designers, business unit.