As a Senior Technical Data Product, you will serve as the bridge between the data platforms (Data Lake, DWH) and their stakeholders – such as Risk & Compliance, Business, Product – by providing data models and solutions to support the decision-making process and Reporting.
If you enjoy working in a high-paced environment, leading data solutions, intrigued by data challenges, with intention to make an impact on the companys growth, then this is the right place for you.
What youll do:
Leading end-to-end data projects to create analytical & data tools and solutions that empower the company.
Conduct data gathering, research, and analysis to generate insights and create solutions that address user needs.
Specifies API endpoints for data access, including authentication and rate limiting.
Describes third-party service and system integrations.
Designs and leads scalable, long-term technical solutions.
Focuses on creating adaptable and high-performance architectures.
Translate business & technical needs collaborate regularly with various stakeholders and translate business needs to technical data solutions and KPI definition by writing STT to be developed by data engineers.
Design, deliver, and maintain technical solutions that align with customer needs, including defining the appropriate architecture and technology stack.
Keep it running, implement and train users with the BI products and manage their inputs for ongoing analysis.
Location: Tel Aviv, Israel
Hybrid
Full-time
Who you are?
5+ years of experience in managing end to end data projects, including modeling, STT definitions, data streams and solution design.
Excellent verbal and written communication- High English language proficiency.
Experience in Data Warehouse solution design and modeling.
Knowledge in ETL, data streams & pipelines.
Led significant project(s) that involved various stakeholders.
High level SQL and analytics capabilities.
Working with Cloud Platform, especially with Big Query, DL, etc.
Not a must but a great advantage:
Knowledge in front end self-service tools (like: Power BI, Looker, etc.).
Background of KPI definition, building dashboards & converting data into visual insights.
