לוח משרות דרושים מומחה BI

We are seeking a Sr. Data Engineer - Analytics.
We develop a platform that collects data from dozens of sources and uses AI and data science to extract insights for making fast and optimal business decisions.
We have assembled an excellent team of leading data engineers, software developers, designers, product managers, and data scientists working towards this goal.
Our recently refurbished offices are in Tel-Aviv and we employ a hybrid work from home model.
On a typical day, you will:
Use Python and SQL to develop, scale, and optimize advanced data pipelines.
Merge multiple data sources into a clean, unified, and integrated single source of truth.
Ensure data integrity, freshness, and best practices in our growing data lake.
Manage and optimize data infrastructure, ensuring high performance, security, and reliability.
Collaborate with stakeholders across the company and support business insight requests.

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.**

Were now looking for an Analytics hawk to soar with our team!

Our massively popular gaming app is enjoyed by millions of people from around the world who experience the fun of playing live with friends and connecting with new ones!

If youre an eagle-eyed, sharp, intelligent, data-driven analyst, with a love for stats and numbers, wed love to talk!

The role will involve answering challenging inquiries for the company's diverse teams (Product, Marketing, etc.) and making sense of data! An essential part of the role requires being consistently curious by data, trying to understand it best and aiding in data-driven solutions across the company.

RESPONSIBILITIES
Managing master data, including creation, updates, and deletion
Analyzing large and at times complex data sets of user engagement and ultimately come up with decisive data-driven understanding that can aid in executing business decisions
Provide clear recommendations through analytic conclusions that ultimately affect game features, monetization decisions, game economy, etc.
Build and maintain reports, dashboards and metrics to monitor product performance
Helping develop reports and analysis
Plan and analyze effective A/B tests in order to improve business KPIs
Develop a deep understanding of company products to meet the company's current and future goals

We are looking for a Data Analyst Team Leader.
As a Data Analyst Team Leader, youll lead a team of analysts in constructing our next-gen data infrastructure, playing a crucial role in company decisions.
Youll collaborate with various stakeholders and departments, including product, business development, marketing, finance, customer support, and more.
You'll discover key insights from a range of data sources, shedding light on user behavior, feature adoption, operational efficiency, and other metrics and trends.
In this role, your mission will be to gain a profound understanding of the business, transforming raw data into actionable intelligence to guide our data-driven decision-making at every step of the way.
You'll simultaneously build and mentor our analytics team, supporting their growth and skill development.
This isn't just a job; it's a thrilling journey that will steer us toward unprecedented success!
Responsibilities:
Manage a team of 4-5 data analysts
Lead the implementation and utilization of Google Analytics within the organization
Conduct analysis on large, complex data sets reflecting user behavior, ensuring data quality, and maintaining high standards of communication and delivery
Look beyond the numbers to inform, influence, support, and execute our business decisions
Address complex challenges concurrently in a large-scale production system environment
Offer actionable recommendations and conclusions derived from data to shape our features and product roadmap
Proactively strive to enhance and refine your team's performance by supporting their growth and strengthening their skill set

The Fraud Analyst is responsible for:
Daily monitoring and investigation of suspicious transactions, merchant and third-party activity.
Effectively liaise cross-teams and cross company, identifying fraud risk and implementing best-in-class monitoring reports and fraud mitigating procedures.
Strong analytical ability to be able to look at fraud trends within our entire portfolio and at merchant level.
Discuss fraud trends and processes with partners and merchants, discuss action plans and work with them to make recommendations.
Perform analysis of purchases/transactions, Real-Time or near Real-Time or via companys proprietary business intelligence tool to identify fraud and chargeback risks.
Regular preparation of reports to facilitate the explanation of fraud risk findings.
Liaise with Card Schemes including, Visa and MasterCard, regarding fraud and risk-related matters.
Be knowledgeable in Scheme chargeback and fraud programs.
Monitor and manage the Card Scheme programs including timely review of breaches, investigations, submission of appeals, submission of data to Card Schemes, and reporting to senior management as per internal process.
Work closely with the risk team to identify problematic merchants that need to be closely monitored.
Work closely with the fraud prevention manager to assist with adapting and building the fraud tools used by the team on a daily basis. Other ad hoc tasks delegated by the manager.

* Lead end-to-end project management of business intelligence initiatives, ensuring successful delivery within scope and timeline
* Develop, TEST, and maintain ETL processes to high quality and performance standards
* Building the frontend data platform which serves the companys needs
* Creating relevant measures and calculations according to design documents
* Creation of detailed, designed, and interactive reports & dashboards in Power BI
* Implement best practices to ensure the quality and consistency of data extracting, modelling, and App building throughout the company
* Work with various stakeholders within the organization to understand business needs

We're looking for a talented and motivated BI analyst to join our team. In this role, you'll collaborate closely with our Analytics team to establish a comprehensive end-to-end reporting data framework. The position is Temporary for a period of 6-9 months.
What Youll Do :
Design, Develop, and Monitor: Assisting developing our analytical data layer, employing hands-on expertise in creating and managing Data Warehouse (DWH) tables.
Scalability and Reusability: Collaborate with analysts to identify opportunities for enhancing the scalability and reusability of our data structure.
Data Quality and Reliability: Proactively explore methods to improve data quality and reliability within our systems.
Dashboard Development and Monitoring: Explore ways to develop and monitor dashboards, ensuring they provide valuable insights and align with organizational goals.

We are looking for a highly motivated Data\BI Engineer.


Responsibilities:

Full Stack data development: Build extracts/streams from multiple sources (business applications and unique products), Source-To-Target, Transformation, and dashboard development.
Work closely with product managers and key stakeholders to define the Metrics, KPIs, and our main dashboards, for our internal BI solutions as well as our customer-facing data products.
Partner with the engineering and architects to design optimal data streaming, data extracts, data transformation, and data modeling solutions.
Provide an end-to-end data solution, from requirements to design, development, and deployment.

As the Senior Business Financial Analyst , you will have end-to-end ownership of comprehensive financial models that support core business processes such as annual planning, variance analysis and reporting. You will be the subject matter expert and point of contact for anything financial data related, and work closely with stakeholders across . This position requires a sharp analytical mind, deep knowledge of financial modeling and a love of data, spreadsheets and people.

Responsibilities
Financial Modeling:

Take full ownership of developing, maintaining and enhancing complex financial models.
Collaborate with cross-functional teams to gather input, validate assumptions, and ensure alignment of financial models with business objectives and operational realities.
Provide training, guidance, and support to planners across the organization on financial modeling techniques, best practices, and tools.
Foster a culture of continuous learning and knowledge sharing .
Financial Data Management:

Serve as the domain expert on financial data, working closely with Operations, BI and IS to develop a robust financial data model and ensure integration compatibility across all Aidoc functions.
Oversee the collection, validation, and integration of financial and non-financial data into financial models.
Ensure the accuracy and reliability of financial models through rigorous quality assurance processes.
Identify opportunities to streamline (financial) data based processes and drive efficiency.
Financial Reporting:

Prepare and distribute timely and accurate financial reports including management accounts, Variance analysis, QBRs etc.
Generate ad-hoc reports as required by senior management and key stakeholders.
Continuously review and improve reporting processes to enhance the overall effectiveness of financial reporting practices.
Provide guidance to reporters, as well as report consumers, on best practices for accurate reporting (and analysis).
Monitor and report on financial performance against targets, identifying key insights and drivers for performance.

We are seeking a dynamic and experienced Business Intelligence (BI) Team Lead to join our growing organization.
The BI Team Lead will be responsible for leading a team of BI analysts and developers to deliver high-quality BI solutions that drive business insights and support strategic decision-making.
The ideal candidate will possess strong leadership skills, technical expertise in BI tools and technologies, and a proven track record of successfully managing BI projects.
Key Responsibilities:
Lead a team of BI analysts and developers, providing guidance, mentorship, and technical expertise.
Collaborate with stakeholders to gather and analyse business requirements for BI projects.
Design and architect scalable and efficient BI solutions that meet business requirements.
Oversee the development and maintenance of data warehouses, data marts, and other data repositories.
Design and develop interactive dashboards, reports, and data visualizations using BI tools such as Power BI, QlikView, etc.
Monitor and optimize the performance of BI solutions to ensure fast query response times and efficient data processing.
Build strong relationships with stakeholders across the organization, including executives, department heads, and end-users.
Provide training and support to end-users on BI tools and technologies.
Stay abreast of industry trends, emerging technologies, and best practices in BI and analytics.
Manage BI projects from initiation to completion, ensuring timely delivery and adherence to project milestones and budgets.
Location- Caesarea.

We are seeking a highly skilled Business Intelligence (BI) Developer to join our Product team. The ideal candidate will have a strong background in data analysis, database management, and business intelligence tools. As a BI Developer, you will be responsible for designing, developing, and maintaining our BI solutions, ensuring that our stakeholders have access to accurate and actionable insights.
Responsibilities:
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Design and develop data models, ETL processes, and data visualizations using BI tools such as Power BI, Tableau, or Looker.
Optimize and maintain existing BI solutions to ensure high performance and scalability.
Train end-users on how to use BI tools and interpret data.
Stay up-to-date with the latest trends and technologies in the BI space.