לוח משרות דרושים Data Analyst

As part of our continued growth, we are looking for a BizOps Analyst!
In this role, you will operate our core systems, analyze data lakes, build new monitoring methods and deliver better visibility and stability to our information services.
Responsibilities:
Develop methods with BI, RND, IT and other business units to support the information systems stability.
Monitor business applications health using a variety of technologies.
Become an application expert and support business issues and bugs around it
Build Kibana (ELK) base dashboards and SQL-based reports.
Analyze systems malfunctions in real-time using multiple analyzing and Big data tools.
Produce Root Cause Analysis post incidents and manage the process of proper fixes and future mitigation.
Manage real-time incidents, communicate with IT operators, Business users, and management, act as a focal point and lead the incident to proper resolution in the most responsible manner.

We are looking for a passionate Junior Analyst to join our ePayments Analytics team!
The ePayments analyst will support the teams ongoing mission to optimize product performance and offer business solutions.
The role requires a thorough understanding of the processes and business data flows within the companys different systems. Utilizing the data to extract actionable insights for internal use and for our customers.
Day-to-day revolves around data extracting and analyzing, building reports and dashboards, monitoring initiatives, and building insightful business measures.
Scope of Responsibility:
Own and handle ongoing and an ad-hoc data and business initiatives.
Find creative solutions for different data needs and translate them into detailed design for BI team
Data analysis of approval rates. Investigate data issues, identify and implement solutions
Design and implement monitoring solutions
Provide insights to our clients and internal teams on ways to improve business processes.

We are growing and looking for a talented Data Analyst to join our product data team.
The Data Analyst will use analytical and technical skills together with strong business and product understanding to ensure the product fully and accurately utilizes the customers data, producing the best solution possible.
Responsibilities:
Work closely with other business and development units and lead the onboarding process of new customers, to deliver high-quality data-centered solutions.
Perform data modeling, wrangling, analysis, and mapping as part of the integration architecture.
Support and expand existing customer data integration solutions to accommodate product evolution in accordance with customer needs.
Guide customers to success by explaining data related subjects and resolving complex logical and business issues through professional discussions.

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.

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.

Looking for offshore work? We have an exciting opportunity for an experienced Mug Logging Analyst with a large oil & gas company!
Company Profile
A global oil & gas company.
What's in it for you?
We are eligible for a comprehensive and competitive benefits package plus an exclusive savings program, including:
* Medical/Vision/Dental/Rx plans,
* Holiday Pay,
* Teladoc (online care),
* Referral Bonus Incentive,
* Weekly Pay,
* 401k,
* And More!
 
Mud Log Engineer Details:
* Direct Hire position.
* $ 22.50 / hour.
* Full Time work available.
* Weekend work required.
* Salaried (Sunday through Sunday from 08:00am to 08:30pm).
* Offshore; 4 weeks ON, 2 weeks OFF.
* Ensures the integrity of the samples collected; analyzes, interprets and reports.
* Responsible for volume monitoring.
* Detection and monitoring potential well control situations.
* Reports using the QUEST system.

We are looking for passionate and experienced data Analyst who will join our team and lead our Disruptive product in the B2C channel.
The ideal candidate should be able to develop effective and efficient data analysis solutions, interpret and communicate data -driven insights for decision-making, and support data -driven initiatives to reach business objectives.
Be at the forefront of our customer acquisition efforts.
Determine customer metrics, identify opportunities, and lead the company to meet its performance goals.
Own and manage a large marketing budget across multiple channel partnerships and multiple points of sale.
Define and implement bidding strategy by working closely with the data Science and Analytics team.
Constantly perform deep-dive analysis to discover business trends & opportunities A/B testing to optimize performance.
Work collaboratively to support multiple stakeholders in the company - provide suggestions and recommendations to different managers and teams during the decision-making process.

We are looking for a passionate and experienced Senior Data Analyst who will join our team and lead our Disruptive product in the B2C channel! The ideal candidate should be able to develop effective and efficient data analysis solutions, interpret and communicate data-driven insights for decision-making, and support data-driven initiatives to reach business objectives.
Be at the forefront of our customer acquisition efforts. Determine customer metrics, identify opportunities, and lead the company to meet its performance goals. Own and manage a large marketing budget across multiple channel partnerships and multiple points of sale. Define and implement bidding strategy by working closely with the Data Science and Analytics team. Constantly perform deep-dive analysis to discover business trends & opportunities A/B testing to optimize performance. Work collaboratively to support multiple stakeholders in the company provide suggestions and recommendations to different managers and teams during the decision-making process.

We are looking for a brilliant Marketing Analyst, who is a quick-learner and independent logical thinker for our Marketing Analytics team.
The position combines deep business & Marketing understanding working closely with the Marketing teams, generating data driven insights, developing processes and tools, improving and innovating measurement solutions.
Collaborating internally and externally with marketing platforms and 3P vendors to sustain our position as a leader in leveraging marketing data and measurement .
Our Marketing Analyst will be part of the team that brings superpowers to our marketing teams, and allow the company to achieve its ambitious goals
Roles and Responsibilities:
Measure the performance and effectiveness of marketing investment across diverse set of marketing channels, with a focus on paid social media
Lead Analytical processes, challenge the status quo from hypothesis to actionable insights
Turn great ideas into automated and scaled data-driven processes
Work closely with the Marketing teams teams to Identify opportunities, and measure their impact

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

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.