דרושים » מערכות מידע » Product Analyst

We are looking for a Data Analyst Team Leader.
As a Data Analyst Team Leader, youll lead a team of analysts in constructing our next-gen data infrastructure, playing a crucial role in company decisions.
Youll collaborate with various stakeholders and departments, including product, business development, marketing, finance, customer support, and more.
You'll discover key insights from a range of data sources, shedding light on user behavior, feature adoption, operational efficiency, and other metrics and trends.
In this role, your mission will be to gain a profound understanding of the business, transforming raw data into actionable intelligence to guide our data-driven decision-making at every step of the way.
You'll simultaneously build and mentor our analytics team, supporting their growth and skill development.
This isn't just a job; it's a thrilling journey that will steer us toward unprecedented success!
Responsibilities:
Manage a team of 4-5 data analysts
Lead the implementation and utilization of Google Analytics within the organization
Conduct analysis on large, complex data sets reflecting user behavior, ensuring data quality, and maintaining high standards of communication and delivery
Look beyond the numbers to inform, influence, support, and execute our business decisions
Address complex challenges concurrently in a large-scale production system environment
Offer actionable recommendations and conclusions derived from data to shape our features and product roadmap
Proactively strive to enhance and refine your team's performance by supporting their growth and strengthening their skill set

Were looking for an experienced Game Data Analyst to work closely with the product teams to analyze performance metrics, create insights, and guide data-driven decisions.
If you have Passion for Gaming and work in a dynamic fast fast-paced environment, then this position is for you!
Heres what we need, up for the challenge?
Analyzing large, complex data sets representing the behavior of millions of players to address strategic and operational business questions
Optimization and maximization users monetization
Recommendations for segmented offers based on user segments and behavior
Data mining, pattern recognition & correlation analysis and insight generation
Definition, measurement and evaluation of AB test
Provide actionable recommendations from game data to shape features, game economy, and future product roadmaps
Be involved in building automated dashboards and reports to facilitate company-wide understanding of business KPIs and player experience
Identify and communicate key trends and potential development improvements
Collaborate with stakeholders to drive insights that will help produce monetization and retention improvements
Recommendations based statistical analysis of data.

Job ID : R_101348.

We are looking for a Product Analyst which lives and breathes data! Someone who can see beyond numbers and is curious to investigate and get insights, ready to solve problems and able to piece together information from multiple sources to create a complete picture.

As a Product Analyst you will make a direct impact on the company activity by delivering valuable insights into KPIs, creating tools and analyzing company's data. You will be operating within the BI team, communicating with cross-functional teams - understand needs and capture requirements, monitor performance, funnels, pain points, and proactively come up with actionable recommendations.

You Will:
Design and create BI dashboards, reports and ad-hoc analysis to provide value and business performance monitoring.
Analyze and interpret data, effectively communicating your insights and plans to cross-functional team members and management.
Provide analytical support for management's decision making.
Develop and maintain BI platforms (Tableau).
Interact and communicate with stakeholders to initiate projects; gathering all pieces of information and alignment.

We are looking for an experienced BI Engineer to join our Finance & Operations department.
In this role you will:
Effectively collaborate with our leadership team, product managers, sales and marketing teams, and other stakeholders to scope scalable data infrastructure and analysis approaches to complex business questions.
Develop and optimize ELT/ETL workflows to power business and product analyses based on multiple data sources.
Build compelling data visualizations, reports, and dashboards to serve data-driven decision-making processes.
Create reports, dashboards, responses to ad hoc requests, forecasts, etc. utilizing our data warehouse and other sources of data.
Be a one-person show and collaborate with our data analyst for fast delivery.
Bring in industry best-practices to help pursue the goal of becoming a data-driven company.

We are looking for a Mid-Level Data Analyst.
As a Data Analyst Real Estate, you will harness the power of data to drive strategic decision-making and help redefine the landscape of real estate technology. You will collaborate with cross-functional teams to develop insights that influence our product offerings and operational efficiencies.
:Responsibilities
Data Validation: Oversee the validation of both incoming data and output generated by the team to ensure accuracy and reliability in all data sets and analytics outputs and maintain high standards for data quality and integrity.
Internal Data Flow Optimization: Partner with your data team to enhance the internal flow of data. Focus on streamlining processes to ensure efficient data access and utilization across the company.
Collaborate with Cross-Functional Teams: Work with multiple teams and provide them with the needed data to drive decision-making processes.

We are looking for a highly motivated and experienced Business Intelligence Analyst & Developer to join our BI team, work with internal customers to understand and articulate business processes, map them to business intelligence requirements, and implement them into indicators, reports, and dashboards.
As a member of the BI Development and Analysis team, you will design, build, and maintain reports and dashboards to monitor company, product, and business performance and KPI's.
The BI developers work with other team members from across the world to develop BI solutions and provide support to the BI systems and ongoing advanced analysis needs.
This includes understanding the data and where to get it, extracting the data, processing it, optimizations, and turning data into insights and graphical representation in the BI platform (Tableau).
If you embrace data analytics and have the passion to transfer data into information, information into insight, and insight into smarter business decisions, your place is with us!
Role main Responsibilities:
Leading BI Projects starting from requirement analysis, design, and creating ETL processes, Tableau data sources, dashboards, and reports.
Performing in-depth analysis of our Indigo press performance
Lead iMPACT changes and deployment of new requests and fixes.
Build and define new press performance KPIs.
Develop and maintain BI platforms (Tableau)

We are looking for a talented and experienced BI Engineer to join our dynamic team. As a BI Engineer, you will take a major part in defining and building the core business models, playing a key role in transforming raw data into valuable insights, and enabling informed business decisions.
WHY YOU SHOULD JOIN OUR TEAM:
Our team's mission is to be the source of actionable strategic intelligence for us. The team partners with business leaders and users to add value through data, make data-informed decisions, discover insights, and share knowledge. Our company and product are focused on serving you. Being on the data team means you get early access to cutting-edge technology & are a north star for the data teams.
Responsibilities:
Data Modeling:
Develop and maintain scalable and efficient data models using dbt (data build tool) and other ETL tools.
Design and implement logical and physical data models that align with business requirements and industry best practices.
SQL Expertise:
Write and optimize complex SQL queries to extract, transform, and load (ETL) data.
To support business objectives, perform data analysis to identify trends, patterns, and anomalies.
dbt and Snowflake Implementation:
Utilize dbt to build, test, and deploy data transformations in a version-controlled environment.
Work extensively with Snowflake, leveraging its features for efficient data storage, processing, and querying.
Data Governance:
Establish and enforce data governance policies, ensuring data accuracy, consistency, and security.
Document data models, transformations, and processes for knowledge sharing and team collaboration.
Collaboration:
Work closely with business stakeholders to understand their data needs and provide actionable insights.
Collaborate with data engineers, analysts, and other team members to ensure seamless integration of data solutions.

We seek a talented professional who thrives at the intersection of Product Analytics and Game Economy, engaging in data-driven decision-making and product analysis to enhance the gaming economy.
You will create fun and engaging game experiences while maximizing player retention and revenues.
You will be a crucial part of the analytics team, collaborating closely with the development, data, and product teams.
Full-time position (Hybrid) in our offices in Rosh Haayin (we have shuttles from Tel Aviv and Givatayim).
The Role:
Utilize quantitative analysis and data presentation to understand user interactions and enhance the game economy.
Track Daily KPIs, trends, and user behavior to optimize game economy dynamics.
Identify growth opportunities to improve feature adoption, retention, engagement, and monetization strategies.
Provide actionable insights to enhance player experience and game economy.
Understand gameplay loops and how players interact with them.
Tune the performance of existing features by devising A/B tests and analyzing their effectiveness.
Adjust sinks/sources to maximize engagement, retention, and revenue.

A new team that provide valuable business and product insights for Field Operations that serve millions of customers.
The team will handle analysis of various KPIs including recurrent dispatched, technician utilization, route optimization and more.
It will involve measurement of many web and mobile applications to measure user-behavior, usage and efficiency.
We take responsibility for the entire process, from event definition and data engineering (including some ML) to visualization tools.
This role is for an individual contributor until a team is assembled.
Responsibilities:
Lead data analysis activity for several products and projects around in Field-Operations
Be the data focal point for various teams, providing insights and ideas for new functionality
Analyze and explore through large complex data sets representing key business drivers, trends and operational metrics
Conceptualize, create, automate and maintain dashboards for tracking key metrics and experiments
Proactively provide meaningful insights and actionable recommendations that drive decisions
Recruit new team members and mentor them

We are looking for a brilliant, quick-learner Data Engineer for our data engineering team - an independent logical thinker who understands the importance of data structuring for macro-business decisions.
The position combines high technical skills with business orientation, working closely with the analysts and the R&D team, and affecting the company's cross-departments decisions directly. Our Data Engineer should have the ability to speak in technical and practical terms, and more importantly, lead from one to the other, while dealing with challenges and creating them - to make our team even better than it is.
Roles and Responsibilities:
Creating and structuring end-to-end data pipelines & ETLs: from the source all the way to the analysts hands, enabling them the ideal conditions to make smart and data driven business decisions.
Cracking top industry data challenges while initiating and building creative technical solutions - in house Device Graph, Server-to-Server to multiple systems, Privacy challenges, Online-to-Offline and more.
Deep understanding of the business needs, technical requirements and the companys roadmap - and translating it into custom made data solutions and scalable products.
Craft code following best practices to ensure efficiency, while integrating CI/CD principles.
Writing multi-step scalable processes from more than 50 data sources - Marketing. Operations, CS, Product, CRM and more... tying them up to a valuable & useful source of insights for the analysts.
Understanding data challenges and weaknesses, and managing high standards monitoring and reliability processes.