לוח משרות דרושים Data Analyst עבודה היברידית

Were 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, 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.
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

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 someone who will be responsible for developing and implementing data pipelines and BI solutions using systems such as Tableau, Athena, DBT, and AirByte.
As a BI developer, you will be working with the different departments in the organization to translate business needs into data models, and then create meaningful data visualizations to better communicate data insights to stakeholders and support decision-making.
**In this position, you will work in a hybrid model, which means you will spend two days at the office and three days working from home.**

We are looking for a talented Data Analyst with a background (or interest) in financial markets and trading.
Description:
As a Trading Analyst, you will assume responsibility for the ongoing operation of our financial instruments: our systems core!
You will collect and analyze data from various sources (market data, users data, and many more), interpret it, uncover valuable findings, and determine the optimal configuration of our system.
You will thoroughly understand trading principles in a variety of markets (Stocks, Commodities, Futures, Options, and more) and support our ongoing research, queries, and day-to-day operations.
You will work closely with other departments, from R&D, through Marketing and even Customer Support, driving excellence and providing counsel across the board.

We are looking for excellent Customer Oriented and analytical people who are eager to work in a dynamic environment, have very good personal engagement skills, will never take no for an answer, are good at gathering and processing data and have the ability to improve and help grow our business globally.
If you are up to the challenge, this is the job for you.
Responsibilities:
Responsibility for activities related to the onboarding of international entities to our platform.
Independent management and execution of core customer related processes involving multiple tools, automation and control.
Integrating and cross-referencing data from multiple systems and sources. Conducting online research.
Working independently with other groups in the company as well as external entities, including global customers and suppliers.
Contribute to ongoing process improvement, leveraging international data sources and technological solutions.