לוח משרות דרושים Data Analyst ברעננה

Do you look at websites and think about how they might be personalized? Do you use websites and apps and think about how their features have been designed to be best for a lot of different users? Do you read articles with statistics and think about how they may be misinterpreting the data to get their results? If these things describe you, and if youre great at SQL and have experience analyzing website data, youre someone we want to talk to.

Were looking for a Senior Data Analyst with experience analyzing website data. Our data analyst team analyzes everything on our website, not only for their immediate use but also for how they connect to high-level company KPIs. The role requires understanding web development and how data is gathered, analysis of site usage and a/b tests, data visualization and how different kinds of data can be presented most clearly, and business KPIs and how they are measured.

But more than that, were looking for experienced analysts that can bring us new ideas about how to analyze and extract insights from website data. Our ideal candidates have measured KPIs that we havent measured or used new ways to explain user retention, or analyzed features of users data that we havent analyzed.

The best thing about our work is that were part of an incredibly data-driven company. Everyone from the CEO down uses data every day. The data teams are involved in every single thing the company does.

Why were a great company to work for

the leading online destination for engaged investors. We have an awesome product. Our crowdsourced research and cutting-edge investing tools are helping nearly 300,000 paying subscribers exceed their financial goals.
We care about work-life balance: We work primarily from home, provide lots of perks, and insist that you enjoy them.
We invest in people. We consider each employee a long-term investment, and we see value in continuously nurturing and training our teammates.

If that's what you're looking for too- go ahead and apply!

Responsibilities:
Analyzing the behavior of users on our site and apps:
Build and maintain dashboards that visualize the usage of single or multiple features and how that usage drives company KPIs.
Answer questions about site usage or user behavior based on deeper analyses.
Analyze and track high-level KPIs such as conversion, retention, churn, recurring revenue, engagement, cross-device usage, e-mail and notification usage, and more.
Communicate with business stakeholders on analysis results, how they relate to business, and what business suggestions result from the analysis.
Run the whole data flow for site and app features, from defining KPIs, specifying data collection for development team implementation, and building and maintaining iterative versions of dashboards with both low-level and high-level views of collected data.
Split tests of product features:
Design a test with clear success criteria
Monitor test integrity
Analyze results and give recommendations
Use segmentation and clear cohort analysis to validate significant conclusions
Conduct exploratory analysis to identify trends and opportunities

We are seeking a highly skilled and motivated Game and bots analyst take ownership of the logical and performance aspects of our auto bots system. The ideal candidate will be responsible for constantly monitoring and optimizing the performance of the auto bots from both logical and technical perspectives. This role requires a deep understanding of SQL coding, the ability to bridge business needs with technical solutions, and the aptitude to solve complex puzzles using logical reasoning. The successful candidate will work independently to drive tasks to resolution and will play a crucial role in ensuring the efficient functioning of our auto bot system.
Key Responsibilities:
1. SQL Coding Mastery:
Develop and execute advanced SQL queries to extract, analyze, and manipulate data efficiently.
Optimize database queries and procedures to enhance the performance and reliability of the auto bot system.
2. Business Understanding:
Gain a comprehensive understanding of the business requirements and objectives.
Collaborate with stakeholders to translate business needs into technical requirements and vice versa.
3. Logical Problem-Solving:
Identify and address complex logical puzzles and challenges within the auto bot system.
Propose innovative and logical solutions to improve system performance and functionality.
4. Independent Task Management:
Receive tasks and assignments related to logic and performance analysis.
Take ownership of assigned tasks and drive them to resolution independently, ensuring timely delivery and high-quality results.
5. Performance Monitoring and Reporting:
Monitor the performance of the auto bot system on a continuous basis, identifying areas for improvement and optimization.
Generate regular reports on system performance, highlighting key metrics, trends, and recommendations for enhancements.
6. Quality Assurance (QA):
Conduct thorough QA testing to validate the accuracy and reliability of logic implementations within the auto bot system.
Collaborate with the QA team to ensure rigorous testing standards and procedures are followed.
7. Real-Time Action:
Respond promptly to any issues or anomalies detected in the auto bot system, taking proactive measures to mitigate risks and maintain system stability.
Implement real-time adjustments and optimizations to address performance issues and ensure seamless operation.

We are looking for a data analyst to join our research department.
The data analyst function will support several stakeholders.
Working with the research team and be the one to look and understand the bigger picture.
Learning the data gathering mechanism.
Face and solve business problems by analyzing data and provide insights to the business, covering a range of topics.
Develop complex logic flows to identify predefined events and generate desired insights.
Support the researchers on their projects.
Responsible for conducting both recurring and ad hoc analysis for business stake holders.
Research and integrate new tools and methods to enrich datasets.