דרושים בתחום DWH / BO / BI

Design and develop data models, ETL process and BI frameworks
Perform ongoing analysis of complex data sets to understand trends and provide actionable recommendations
Build and maintain alerts, reports, dashboards, and business notifications
Monitor the integrity and validity of the data reported.
Build cohesive analytical workflows to identify critical insights.
Build prediction models such as LTV, churn\expansion probability

At least 3 years of analytical work experience, preferably for a web or mobile company
Full proficiency in SQL with at least 3+ years of experience of using it for large data sets – Mandatory
Good understanding of BI methodologies, Data Architecture, and ETL principals
Experience in BI modern reporting tools - Preference for Looker or equivalent
At least 2 years of experience in programming - Preference for Python
BA in Industrial Engineering / Economics / Statistics/ Business Management or equivalent academic knowledge
Outstanding analytical & technical skills
Knowledge in statistics (e.g. hypothesis testing, regressions) - an advantage
Experience using statistical Python libraries for analyzing large datasets – an advantage

Responsibilities include: management of all data pipelines, including 3rd party integrations, internal ETL procedures, DWH management and modeling.
Operate in a real big data environment (ingestion of billions of daily events) into multiple endpoints.
Communicate with stakeholders and responsible for all data related developments.

Looking for Someone who:
Is an independent, self-learner who understands business processes and able to translate business needs into data models.
Has extensive experience in writing data pipelines - spark, hive, pig and similar.
Can quickly learn new technologies and have a good level of Python.
Is highly proficient in SQL, including performance tuning.
Has proficiency with database modeling in both relational and data warehouse environments.
Has vast experience in cloud environments (GCP/AWS/Azure) and modern data warehouse solutions (Cloudera Impala, BigQuery etc.).
Is highly skilled in data visualization (Tableau//Sisense/similar) – bonus