לוח משרות דרושים מומחה BI עבודה היברידית

Requirements:
4+ years experience in a technical role as a BI Engineer or data lead in SaaS company, in an internal BI function.
Proven hands-on experience in developing data pipelines and ETL processes.
Strong command of SaaS metrics like ARR, net retention, funnel conversion rates, etc.
Proven experience working with Tableau to create compelling visualizations.
Experience with writing complex SQL queries.
Experience with data modeling, data warehouse implementation, and maintenance.
Ability to collaborate with multiple stakeholders, including go-to-market and more technical teams.
Experience training end-users, rolling out new products, and driving them to full adoption.
Proven record of merging multiple data sources to develop a single source of truth for reporting needs.
A self-learning, self-starter attitude with an enthusiasm to work in a fast-paced, team-oriented start-up environment.
A passion for analytics and strong analytical skills.
Excellent project and task management skills.
Fluent in English and Hebrew - high-level written and verbal communication skills.
Advantages
Prior experience with Snowflake and Rivery
Prior experience with other tools and languages such as PowerBI and Python.
Prior experience with companies combining subscription and consumption-based revenue.

Requirements:
3+ years of experience working in as a product analyst position in a high data-rich environment
Hands on experience analyzing users behaviors in applications/web
BSc/BA in a highly quantitative field such as mathematics, statistics, or engineering
Strong hands-on experience with SQL and BI tools (preferably Tableau) a must
Excellent communication skills with the ability to deliver results of analyses clearly and effectively
Fast learning capabilities and proven ability to multitask working on several projects at a time
Passion for sports advantage.

Requirements:
5+ years of experience as a data engineer, BI developer, data scientist, or similar
Substantial experience developing data pipelines, including end-to-end ETL/ELT processes
Excited about understanding the data content itself, including analysis to evaluate its product impact
Proficient in writing complex SQL queries
Proficient in Python including data handling libraries (pandas, spark, numpy, etc.)
Experience with cloud platforms (preferably AWS) and cloud-based databases (Google BigQuery / Snowflake)
Experience with Docker and Kubernetes
Comfortable communicating work via writing and presentation in English.
Bachelor's degree in Computer Science, Industrial Engineering, Information Systems, or a related field (M.Sc - Advantage).
Experience with IaC tools such as terraform - Advantage

Requirements:
3+ years of experience as a BI Developer or as a Data Engineer
Bachelors Degree in Computer Science, Information Technology, or related field
Experience in Tableau must
Strong experience in developing visual reports, dashboards and KPI scorecards
Experience with Airflow or other ETL tools
Experience in designing, constructing, and maintaining efficient data pipelines using DBT or Python
Ability to effectively communicate in writing and orally with a wide range of audiences and maintain interpersonal relationships
Ability to work independently and multi-task within time constraints to meet deadlines
Fast learner, team player, independent with a positive attitude and passion for data