לוח משרות דרושים Data Analyst במרכז

Were looking for an Analytics & BI Engineer to join our growing data team. This role is perfect for someone who thrives at the intersection of business insight and technical execution. Youll play a key role in uncovering data-driven insights, developing impactful dashboards, contributing to our ETL/ELT processes, and working with Snowflake as our core data warehouse.

Youll collaborate closely with stakeholders across Product, Management, and Data Science to understand business needs and deliver scalable data solutions that drive decision-making.

Responsibilities
Conduct deep-dive analyses to identify trends, anomalies, and actionable business insights
Translate complex business questions into clear analytical approaches and measurable metrics
Design, build, and maintain BI tools, dashboards, and data models using platforms such as Looker, Tableau, or Power BI
Write advanced SQL and Python to query, analyze, and transform large datasets
Partner with stakeholders to define KPIs, track performance, and support strategic initiatives
Work with Snowflake as our primary data warehouse for scalable data management
Contribute to the development and maintenance of ETL/ELT pipelines, ensuring data accuracy, consistency, and availability

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

As a customer-centric tech company, we created an insurance experience that is smart, instant, and delightful.
youll be working with a group of like-minded makers, who get a kick out of moving fast and delivering great products. We surround ourselves with some of the smartest, most motivated, creative people who are filled with positive energy and good karma.
Unlike most publicly traded companies, were nimble and efficient. We take pride in the fact that we still think and operate like a startup. We dont care much about titles and hierarchy and instead focus on innovation, bold moves, and challenging the status quo.
Were built as a lean, data-driven organization that relies on a common understating of objectives and goals to provide teams with autonomy and ownership. We dont like spending our days in meetings and we skip committees altogether. theres no such thing as going over someones head. We have zero tolerance for bureaucracy, office politics, and lean-back personalities.
As a Public Benefit Corporation and a certified B-Corp, we deliver environmental and social impact using our products and tech. Through our Giveback program, we partner with organizations such as the ACLU, New Story, The Humane Society, Malala Fund, American Red Cross, 360.org, charity: water, and dozens of others, and have donated millions towards reforestation, education, animal rights, LGBTQ+ causes, access to water, and more.
What youre applying for
Were looking for a senior and strategic leader to join our Product Analytics team. Our ideal candidate is an expert in product analytics, is passionate about championing a data-driven approach to fuel product innovations, while being able to inspire, challenge, and grow top-tier talent.
You will manage a group of high-performance data analysts, responsible for defining and executing Product orgs data strategy as we build an AI-ready analytics stack.
In this role youll
Partner with senior Product leadership to develop and execute a forward-looking product data analytics vision and strategy
Lead and mentor a talented team of managers and data analysts, fostering craftsmanship and career growth
Stay up-to-date with emerging trends and best practices in product analytics, creating an AI-ready analytics stack
Manage and improve processes to balance between long-term, high-effort strategic projects and short-term, quick wins
Collaborate with other Analytics teams, Data Platform, and R&D to drive complex, cross-functional data projects

Join a top-tier mobile gaming team with millions of downloads worldwide and exciting new titles on the way.
We're looking for a data Analyst whos passionate about digging into player behavior and game economy data, with strong hands-on skills in Predictions and segmentation. Youll play a key role in shaping engaging and well-balanced experiences by analyzing how different player types interact with core loops, progression systems, and monetization mechanics. This is a cross-functional role where you'll collaborate closely with game economy designers, product managers, and developers to bring clarity, structure, and insights into how our economies serve different segments of players.
What Youll Do
* Build and maintain player segmentation models using gameplay, behavioral, and monetization signals.
* Analyze player behavior, level progression, and feature usage to surface actionable insights.
* Partner with game economy and product teams to fine-tune sources, sinks, pacing, and offers based on segment needs.
* Use Python and SQL to run deep-dive analyses, build pipelines, and automate recurring economy metrics.
* Design and evaluate A/B tests related to game economy, pacing, and progression.
* Present clear findings via dashboards and storytelling that inform product and economy decisions.

We are hiring a system Analyst! We are looking for a system Analyst to join a leading team in the mortgage field.
Key Responsibilities:
* Analyze and document business requirements.
* Conduct systems analysis for banking channels, authentication, support, and legacy modernization.
* Translate requirements into development tasks and processes.
* Collaborate with stakeholders to define solutions.
* Oversee development and system integration.

We’re looking for a curious and technically skilled Data Analyst who’s fluent in SQL, comfortable with BI tools, and brings an extra edge with data science knowledge. In this role, you’ll generate business-critical insights and contribute to light modeling projects such as segmentation and LTV forecasting. This is a perfect role for someone who loves diving into data, explaining what matters, and occasionally applying statistical techniques when deeper insights are needed. Business Analytics & Insight
* Analyze user behavior, funnels, monetization, and retention across our apps.
* Evaluate creative tests, campaign performance and channel efficiency across paid UA platforms (Meta, Google, TikTok, etc.).
* Work closely with UA, product, finance and monetization teams to track and improve performance.
* Support forecasting models for LTV, ROI and spend planning.
* Investigate data anomalies, test hypotheses, and answer complex business questions. Reporting & Dashboarding
* Partner with Data Engineers to ensure scalable and clean data models in Snowflake and BigQuery.
* Build, own, and maintain reports in data visualization tools and web-apps.
* Ensure clear, accurate, and accessible data for marketing and finance stakeholders.
* Lead end-to-end analytical initiatives: from data collection and modeling to insight delivery and follow-through.

R&D is looking for a Digital Systems Analyst! A key role focusing on analyzing and defining digital systems, writing detailed specifications, and collaborating with development teams to drive innovative solutions. Ideal for experienced system analysts with strong technical knowledge and expertise in web and mobile applications. Responsibilities:
* Analyze diverse digital systems and create detailed technical and high-level specifications.
* Work closely with development teams, project managers, business stakeholders, and QA teams.
* Collaborate with multiple technical teams to establish agreed-upon methodologies and best practices.
* Gather and analyze business requirements, ensuring alignment with technical capabilities.
* Define solutions for web and mobile applications, integrating with REST APIs.
* Document technical and functional requirements to support the development lifecycle.