דרושים » תוכנה » Product Analyst

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.

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.

We are looking for a Product Analyst who will take part in building innovative, unique products and services for our publishers.
In this role, you will lead the analytics of products in your domain of responsibility and proactively guide our business growth, based on data analysis and statistical research, to ensure development of successful products.
We currently work in a hybrid work model giving employees the flexibility to work from home a few days a week. We have offices in Ramat Gan and Beer Sheva and are looking to grow to additional locations such as Jerusalem, where our employees have the opportunity to meet their teammates, connect with other teams and socialize with friends.
What are some of the things you do on a day-to-day basis?
Define and analyze A/B tests to optimize product performance and understand user behavior
Take part in product-related decisions and identify opportunities for product improvements
Research and analyze large volume data sets in order to generate useful conclusions and actionable recommendations
Develop data models and dashboards as well as find creative solutions for a variety of challenges never dealt with before.
Become the focal point for all data related matters, own and manage multiple data initiatives and projects on an on-going and an ad-hoc basis.
Work closely with R&D and Product teams, understand objectives and create products that contribute to the companys goals.

Required Product Analyst
As a Product Data Analyst, you'll play a crucial role in shaping our product roadmap. We're looking for a passionate analyst who is comfortable with analytics, someone who understands how to use large data sets to solve real-world business problems. Someone who thrives on providing technical expertise to quickly deliver insights to the business. We view this role as a trusted advisor to our internal business partners to help them make decisions around strategy, priorities, and tactics.
This will involve:
Collaborating closely with multiple cross-functional teams including product managers, data engineers, business intelligence analysts, product engineering, product marketing and strategy.
Recommending and executing analytics projects - ranging from exploratory data analysis, descriptive statistical methods, experimentation, multi-variate testing and conducting user research.
Ensuring our product feature instrumentation is aligned towards company and product goals, is aligned to best practices and data governance standards.
Quantifying and easily communicating the drivers of business performance to senior leaders. Advising them on ways to change outcomes through recommended calls-to-action, operational and strategic changes.

We are growing and are looking for future workers who value personal and career growth, team-work, and winning!

As part of our rapid growth we are looking for a Product Analyst to join the data group in our product department.

What your day will look like:
Collaborate with members of the Product, Engineering and Data teams to improve business decisions using data, identify process improvement opportunities.
Assist the product team in improving presented value, propose system modifications, and devise data governance strategies.
Initiate analyses and generate reports to assist with feature tracking, experiments, and product/platform health monitoring.
Extract and analyze data coming from our product, using different data platforms and tools (Snowflake, Python, etc.).
From your analysis, generate content and configurations that would then be loaded into our production engines to deliver improved customer value.
Present key findings to stakeholders across the company in order to drive business and product decisions.
Explore new and unmapped data domains that can push our product and customer value forward.
Become the focal point for all data related matters in your projects, own and manage multiple data projects on an on-going and an ad-hoc basis.
Develop automated solutions to collect and extract data from external sources to accelerate manual operations.

As a Data Engineer, you will play a pivotal role in shaping our evolving data culture. You will be responsible for collecting, organizing, and analyzing data to provide valuable insights that drive informed decision-making across the organization.
This is an opportunity to join a dynamic team and contribute to the development of data-driven solutions that drive business growth and innovation. If you are passionate about data and thrive in a collaborative environment, we encourage you to apply.
Responsibilities:
Collect and gather data from various sources, both internal and external.
Organize and clean datasets to ensure accuracy and reliability.
Utilize appropriate tools and software to analyze and visualize data effectively.
Collaborate with cross-functional teams to identify data needs and requirements.
Develop and implement data collection strategies to support business objectives.
Interpret data and provide insights to inform decision-making processes.
Create reports and presentations to communicate findings and recommendations.
Assist in the development of data-driven solutions to address business challenges.
Stay updated on industry trends and best practices in data analysis.

As an Analytics Growth Lead, you will work with our data teams to determine key pain points, bottlenecks, and opportunities for our business. You will devise, implement, and execute initiatives and strategies to grow our Analytics department to maximize our potential.

This role is embedded within our Analytics department and requires a blend of analytical prowess, creative thinking, cross-functional collaboration, and the responsibility to challenge and innovate upon current data-driven methods. Success in this role directly impacts our product, monetization & marketing goals, and we reward results-driven performance.

To ensure success, you should be skilled at writing & debugging SQL & Python scripts, implementing advance analytics methodologies, passionate about optimizing business processes across all departments and able to lead & instruct other Analytics Personal to tailor solutions to different markets, scenarios, products, and goals.

Responsibilities:

Hands On Complex Cross Department Projects:
Lead analytics cross department projects, ensuring alignment with organizational objectives and timelines.
Conduct highly complex in-depth data analysis to extract meaningful insights and trends, leveraging various analytics tools and methodologies.
Provide technical guidance and support to all data professionals in navigating complex technical and analytical challenges, enabling them to deliver high-quality solutions.

Innovation:
Drive innovation within the analytics department by exploring emerging technologies and methodologies, recommending their adoption where appropriate to enhance efficiency and effectiveness.
Collaborate closely with all department teams to understand their unique data requirements, ensuring that analytics solutions are tailored to the diverse business needs.

Standardisation & Optimization:
Conduct training sessions and workshops to disseminate technical knowledge and foster a culture of analytical excellence across the department.
Lead cross-departmental systems & processes implementation to ensure collaboration and synergy (Pycharm & BQ, Mixpanel, Jira, AppEvents Structure, etc.).
Establish quality assurance protocols for data analysis and reporting, ensuring consistency and accuracy throughout the company's analytics practices.
Facilitate analytical knowledge documentation, including methodologies, frameworks, and best practices, to facilitate knowledge sharing within the department (Confluence, Showcase, User Stories, etc.)
Prioritization and Project Management:

Employ effective prioritization methods to ensure critical projects receive adequate focus and resources.
Establish contingency plans and backup strategies to mitigate unforeseen challenges or failures during AB Testing, ensuring the smooth execution of planned tests.

Required Data Analyst
Description
What makes us unique?
This is a special place with a unique combination of brilliance, spirit, and just all-around great people. Here, if youre willing to do more, your career can take off. We are a leading SaaS company for the field service industry, one of the most recession-proof and lucrative industries today.
We are located in the heart of Tel Aviv, just a short walk from Rothschild Boulevard. Youll find everything you need to focus or work collaboratively with your colleagues in our brand-new, beautifully designed open office space. When were not hard at work, you will find us in our awesome game room with a ping pong table, a comfy lounge, and video games for the ultimate afternoon break. We recognize you have a life outside the office, our workweek is flexible and hybrid, but you wont want to miss happy hour!
Who are you?
You are a highly analytical and detail-oriented individual who is passionate about data and its ability to drive business decisions.
You have a strong understanding of data modeling and are comfortable working with large and complex data sets.
You are a self-starter and a can-do approach who is able to work independently and as part of a team, and you have excellent communication skills that allow you to clearly and effectively communicate data insights to non-technical stakeholders.
So, what will you be doing all day?
Collect, process, and analyze large amounts of data (specifically marketing, sales, operations & CS) to identify trends, patterns and insights with different stakeholders (Israel and US).
Develop dashboards, reports, and alerts to visualize data and communicate findings to stakeholders
Work with cross-functional teams to develop and implement data-driven solutions to business problems
Perform ad-hoc analyses to support strategic initiatives and business decisions
Develop and maintain data models and data pipelines to ensure data accuracy and consistency
Monitor and maintain data quality, identify data inconsistencies, and work with stakeholders to resolve issues
Identify opportunities for process improvements and automation
Stay up-to-date with industry trends and best practices in data analysis and visualization.

We are looking for a sharp and passionate Business Analyst to join our top-notch analytics team. Using your technical and analytical skills, your mission will be to tell the story behind the numbers, understand how players interact with our games, and leverage our data to propose new ideas that youll then see implemented.

Responsibilities:
Analyze large, complex data sets to solve business questions and be a data-oriented users behavior expert.
Plan, create & implement day-to-day events and promotions strategies based on users' behavior analysis.
Build automated dashboards and reports to facilitate company-wide awareness and understanding of key business metrics and players' experience.
Coordinate with designers and product teams to execute monthly events and promotions across all our game platforms.
Recommend new ways to optimize and maximize game revenues.

we are a rapidly-growing mobile gaming startup located in central Tel Aviv. Were now looking for an Analytics hawk to soar with our team! Our massively popular gaming app is enjoyed by millions of people from around the world who experience the fun of playing live with friends and connecting with new ones! If youre an eagle-eyed, sharp, intelligent, data -driven analyst, with a love for stats and numbers, wed love to talk! The role will involve answering challenging inquiries for the company's diverse teams (Product, Marketing, etc.) and making sense of data! An essential part of the role requires being consistently curious by data, trying to understand it best and aiding in data -driven solutions across the company.
Responsibilities:
* Managing master data, including creation, updates, and deletion
* Analyzing large and at times complex data sets of user engagement and ultimately come up with decisive data -driven understanding that can aid in executing business decisions
* Provide clear recommendations through analytic conclusions that ultimately affect game features, monetization decisions, game economy, etc.
* Build and maintain reports, dashboards and metrics to monitor product performance
* Helping develop reports and analysis
* Plan and analyze effective A/B tests in order to improve business KPIs
* Develop a deep understanding of company products to meet the company's current and future goals
Advantages:
* Experience with the gaming industry Strong advantage.
* Experience with Product Analytics tools
*  Python knowledge.
* Experience in building ML Models.
* Experience working in Scrum.
* Passion for games