לוח משרות דרושים Data Analyst עבודה היברידית

We built a platform that builds businesses. From launching and managing to growing a business, the company is the all-in-one solution that empowers any business owner. Our platform services over 40 million small businesses Our "Guidance Engine" assesses each new business introduced to our platform and devises a tailored plan that allows you to manage all your business needs from a single dashboard. Through our business-building platform, were turning the process of starting, managing, and growing a business into a better experience; were simplifying the business journey. We believe in more than just handing you another tool; we are dedicated to teaching you the art of building a business
By taking part in our vision you will
* Analyze user website activity patterns and flows daily to improve the usability and the experience of our customers
* Bring insights and suggestions to Product Managers, Marketing, Customer Success, Finance, and Management by conducting deep analysis, AB tests, and research
* Monitoring of business KPIs and product metrics to alert about changes, conduct ad-hoc/periodic analytics, and present your results
* Development of reports, dashboards, KPIs, and metrics
* Discovering new ways to use our data to create value for our users
* Analysis of raw data according to complicated business questions.

We are looking for an experienced Customer Success Analyst to join our Global Customer Success Group, located in Rehovot, Israel for a temporary duration.
What you will be doing:
In this role you will be part of the customer success group and will be in charge of the following:
Implementing Customer Master Data processes and interfaces at the company ERP system (Oracle) and SFDC (CRM) including Data cleansing and merge processes
Maintain/monitoring Customer Master Data & IB master data- assure data integrity, cleansing, merge process and ongoing monitoring.
Defining and implementing reports - Data business analysis per specific requests
Generate ongoing Periodic operational reports - Identify regional process issues out of the periodic reports and implement corrective actions.
Provide Ongoing Support to the different stakeholders in the company.
Responsible for managing CS projects including processes definitions /workflows till execution.

We are looking for a Games and Market Research Team Lead.
Responsibilities:
Monitoring and analyzing competitors games.
Breaking down new games.
Monitoring and reporting on Market Trends.
Presenting reports to all levels of management.
Deeper Ad-Hoch Games Research as needed.
Work with a wide range of internal clients.
Reviewing Financial Reports.

As a Research Analyst for the MidCore market, the new team member will be focused on analyzing the RPG gaming market from a qualitative and quantitative approach, examining financial reports and performing ad-hoc research. They will break down games and game features to fully understand the Gaming Market from all sides.
The research analyst will present the findings to the internal customer at all levels of the organization and deliver structured reports. We are looking for an analyst who wants to discover what the questions are and then figure out how to answer them from a quantitative and qualitative point of view. A passion for video games is a must!
Responsibilities:
Monitoring and analyzing the gaming market
Reviewing Financial Reports
Presenting reports to all levels of management
Breaking down new games
Deeper Ad Hoch Research as needed
Work with a wide range of internal clients

We are excited to announce that we are hiring!
 A premier Israeli intelligence firm specializing in research, due diligence, and economic and political consulting, is seeking a highly motivated Research Analyst to join our dynamic team. Our diverse clientele includes leading law firms, financial institutions, corporate intelligence companies, private corporations, and international NGOs.
The successful candidates responsibilities will include:
- Utilize investigative techniques to gather information.
- Conduct comprehensive research using open sources, public, and proprietary databases.
- Organize findings to facilitate thorough analysis.
- Effectively manage multiple time-sensitive projects.
- Copy edit and proofread client reports to ensure accuracy and clarity.
- Contribute to the company's strategic projects, demonstrating innovative and creative thinking.

Are you ready to take your career in data analysis to the next level? We're on the lookout for a talented and motivated Junior Data Analyst to join our dynamic team.
If you're passionate about making an impact, love working with data, and thrive in a collaborative environment, this opportunity is for you!
Additional Information
Location: Hybrid work options are available, with our offices based in the vibrant city of Herzliya.

Do you want to be a Data Scientist on an elite Data Science team? Do you want to build Data Analytics for a global Security Product? Do you want your work to be impactful on millions of users?

Join us and become part of a winning Data Science team that builds the brain of one of our most exciting security products, our Defender for Endpoint (MDE). As cyber-attacks have become more sophisticated, MDE helps enterprises detect, investigate, and automatically disrupt advanced attacks and data breaches on their networks. Our team is responsible for developing and deploying Machine Learning (ML) models that protect organizations worldwide and owning Data Analytics systems that facilitate data-driven decisions and operational excellence.

If you are a talented Data Scientist with excellent analytical, statistical, and data-visualization skills, who is passionate about applying Data Science to drive a revolutionary cyber-security product, we would like to talk to you!

Responsibilities:
Collaborate with Security experts and other stakeholders to define Business metrics.
Work with data engineers to implement these metrics over Big Data sources.
Create and maintain dashboards and visualizations.
Conduct data analysis and present insights to the leadership team and stakeholders.
Develop Anomaly Detection and monitoring solutions to ensure operation excellence of AI and other systems in MDE.

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.