לוח משרות דרושים Data Analyst ברמת גן

As a Senior Product Manager, you will define and execute the vision for Business Intelligence (BI), Social Listening, and Marketing Intelligence products within . Youll work closely with engineers and cross-functional teams to build solutions that provide customers with deep insights into their social media performance, competitive landscape, and market trends.
Responsibilities
Conduct market research to identify trends, customer needs, and competitive gaps in BI, social listening, and marketing intelligence.
Engage with customers to understand how they leverage data for decision-making and uncover new opportunities.
Define and own the roadmap for BI, analytics, and social listening products, prioritizing features and enhancements.
Collaborate with engineering, AI, and data teams to develop dashboards, analytics, and reporting tools.
Ensure timely and high-quality delivery of new data-driven capabilities.
Partner with marketing, sales, and customer success to define positioning, messaging, and adoption strategies.
Train internal teams on new intelligence features and their business value.
Define success metrics (KPIs) to track product adoption and customer impact.
Continuously analyze product performance, gather customer feedback, and iterate on improvements.
Align with executives and cross-functional teams on strategy and product direction.
Communicate progress, insights, and key decisions with internal and external stakeholders.

As a senior manager, you are expected to create an alignment across different divisions, focus on strategic business KPIs and lead other managers to collaborate and perform shared goals. Successful outcomes in this role will significantly impact the business.

Responsibilities:
Lead the development and optimization of spam and fraud detection systems using machine learning and rule-based engines.
Work closely with management, product, engineering, compliance, legal, and security teams to align, present, and implement end-to-end fraud solutions.
Ensure adherence to KYC, AML, and other financial regulations while managing fraud risks.
Leverage the extensive data received from our application to enhance model performance and accuracy.

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