לוח משרות דרושים Data Analyst בפתח תקווה

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 you’re great at SQL and have experience analyzing website data, you’re someone we want to talk to. We’re looking for a Senior Data Analyst with experience analyzing website data. *Hybrid Model *Direct Employment Position
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, we’re 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 haven’t measured or used new ways to explain user retention, or analyzed features of users data that we haven’t analyzed.
The best thing about our work is that we’re 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.
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