Technical Data Product

Technical Data Product
מס' משרה 5551

We’re looking for a Senior Technical Data Product with strong analytical thinking and a passion for data, with expertise in various data technologies and solutions . As a Technical Data Product, you will be the link between the data platforms (Data Lake, DWH) and their stakeholders - Business, Product etc. - by providing data models and solutions for analysis to support the decision-making process.
If you enjoy working in a high-paced environment, leading data solutions, intrigued by data challenges, with intention to make an impact on the company’s growth,
and this is you:
Accountable | Adaptable | Collaborative | Communicative | Fast Learners | Independent | Motivated | Problem Solvers | Resilient | Technically Proficient,
then this is the right place for you!
What you’ll be responsibilities on:
* Leading end-to-end data projects to create analytical & data tools and solutions for the company
* Data gathering research and analytical abilities to develop insightful conclusions and generate solutions to address user needs
* 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 the right solution for each case, deliver the technical solutions, define the architecture and technology that best fit with customer's needs
* Keep it running, implement and train users with the BI products and manage their inputs for ongoing analysis

מרכז

היברידי
Have you done this kind of stuff?
* 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
* 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
Not a must but a great advantage:
* Working with Google Cloud Platform, especially with the analytical tools – BigQuery! Data Catalog, etc.
* knowledge in front end self-service tools (like: Power BI, Looker, etc.)
* Background of KPI definition, building dashboards & converting data into visual insights