לוח משרות דרושים Business Intelligence

Our Strategy & BI department is looking for a talented, business-oriented, and driven Senior Business Associate to join the team.

This person will play a key role in the analysis and optimization of the rapidly expanding business activity, and will take part in the execution of growth strategic initiatives.



The ideal candidate is an energetic team player with exceptional data analysis skills, who can use data to effectively drive results in a fast-growing company and aims to enter the business world. A self-motivated with a high degree of comfort and the ability to leverage data to drive decision-making and turn action items into enhanced performance


Responsibilities:


Analyse and optimize products and activities and use data-driven conclusions to influence and support tactical and strategic decisions.
Build and maintain reports, dashboards, and metrics.
Collaborate with stakeholders from various departments to carry out plans and translate strategy into business results.
Conduct customer analysis including segmentation, profitability, customer value, trends, and behavior.
Work with large amounts of data and build tools to streamline the process.
Conduct ad-hoc analysis under tight deadlines.

We are seeking a highly skilled AI Data Analyst to play an integral role in the development process of Copilot, our Generative AI product. As the AI Data Analyst, you will be responsible for owning the data quality of the production datasets utilized, as well as the LLM output, which is fundamental for our Generative AI product development. You will work closely with stakeholders across different departments to ensure the achievement of our product development goals.

Key Responsibilities:

Be key part of AI data analysis domain in the organization
Create, fine-tune, and monitor datasets required to support Copilot (AI) development.
Create visibility into our products and services for various use cases and teams .
Promote data-driven decisions by analyzing data quality and helping set KPIs to monitor AI features health checks, conducting root cause analysis, discovering anomalies, and improving.
Manage multiple data initiatives and projects, both ongoing and ad hoc.
Recommend tools and data analysis techniques, present new approaches to data analytics
Work closely with various teams Senior Management, Product Managers, Operations Managers, Research, SW developers, and more.

We're looking for an experienced BI Developer to work on our massive data processing pipeline and our new NextGen BI system to help us deliver more insights and scale from our current billion events a day to tens of billions of events.

Responsibilities:
Pull data from various data sources and integrate into the ETL process.
Integrate Machine Learning models in ETL to deliver insights to Marketing, Product and CRM departments.
Optimize workloads to reduce cost and improve performance.
Translate business requirements to technical specifications.

We're looking for an experienced BI Developer to work on our massive data processing pipeline and our new NextGen BI system to help us deliver more insights and scale from our current billion events a day to tens of billions of events.

Responsibilities:
Pull data from various data sources and integrate into the ETL process.
Integrate Machine Learning models in ETL to deliver insights to Marketing, Product and CRM departments.
Optimize workloads to reduce cost and improve performance.
Translate business requirements to technical specifications.

we are looking for a Senior Data Analyst & BI Developer to create and manage BI and analytics solutions that turn data into knowledge and to help us make better decisions.
If you are a SQL expert whos also highly skilled in data analysis and visualization, you have 2+ years experience in analysis, preferably for media company, youre an excellent communicator with the ability to deliver results of analyses clearly and effectively. You know how to harness complex organizational interfaces, and initiate and drive projects from beginning to end with minimal guidance.
Bonus points if you have a BSc/BA in a highly quantitative field such as mathematics, statistics or engineering; are familiar and experienced with AB testing; know Python, have experience working with Big Data environment and have experience working with BI tools.
Responsibilities:
Translate business needs to technical specifications
Design, build and deploy BI solutions
Maintain and support data analytics platforms
Evaluate and improve existing BI systems
Collaborate with teams to integrate systems
Develop and execute database queries and conduct analyses
Create visualizations and reports for requested projects
Be responsible for the entire algorithmic life-cycle in the company: data analysis, prototyping of new ideas, work with R&D to implement algorithms in a production environment
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue

we are looking for a Senior BI Engineer to create and manage end-to-end BI and analytics solutions that turn data into knowledge and to help us make better decisions.
We are looking for an all-around player that can communicate with both R&D and business stakeholders and own the entire BI process. In this position you will mostly develop and maintain the data pipe-line and ETLs but will also be required to support and development dashboards and other user interfaces such as automated reports and business alerts as part of various data solutions for the company.
If you are a SQL expert whos also highly skilled in data analysis, visualization, complex data processes, you have 2+ years experience in BI engineering, preferably from a media company, youre an excellent communicator with the ability to deliver end-to-end solutions that make an impact your place is with us!
Responsibilities:
Translate business needs to technical specifications.
Design, develop and deploy data solutions.
Maintain and support data analytics platforms.
Evaluate and improve existing BI systems.
Collaborate with teams to integrate systems.
Perform data analysis and exploration of high-volume and often messy data.
Tackle business challenges from end to end and take responsibility for the entire cycle from data infrastructure through analysis and reporting to full working automated data solutions.