صنایع تولیدی کروز
صنایع تولیدی کروز

Data Analyst (Analytics Engineer)

Tehran/Jadeh Makhsoos
Full Time
Saturday to Wednesday 7:00 - 16:00 (Floating Time: 2 Hours)
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Transportation -Loan -Bonus -Health insurance -Flexible working hours -Learning stipends -Purchasing coupon -Lunch -Gym facilities -In-house Medical doctor -Recreational and tourism facilities -Occasional packages and gifts

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More than 5001 employees
Automotive
Iranian company dealing only with Iranian entities
1360
1- Crouse 2- Crouse Plus (Crouse+)
Privately held
توضیحات بیشتر

key Requirements

1 years experience in similar position
Bachelor Computer and IT / Master Industrial Engineering
Microsoft SQL Server - Intermediate
Python - Intermediate
Git - Basic
SAP - Basic
Microsoft Power BI - Advanced
Apache Airflow - Intermediate

Job Description

We are looking for a motivated, hands-on data professional to join our Data team. You will turn business needs into reliable data models, build scalable pipelines, and deliver analytics that drive real decisions.

Responsibilities
  • Work with business stakeholders to gather requirements and translate them into analytical data models.
  • Design, build, and maintain ETL/ELT pipelines that extract, clean, and load data from diverse source systems, using Python and Apache Airflow.
  • Develop, maintain, and optimize our data warehouse in ClickHouse.
  • Design and maintain analytical Tabular models in SSAS.
  • Build and update interactive dashboards and management reports in Power BI.
  • Monitor and tune the performance of pipelines, queries, and data models.
Required Skills
  • Solid working knowledge of SQL, including writing complex analytical queries.
  • Solid working knowledge of DAX and building Tabular models in SSAS.
  • Solid working knowledge of Power BI and data visualization principles.
  • Solid working knowledge of Python for data processing workflows.
  • Hands-on experience with columnar analytical databases such as ClickHouse.
  • Familiarity with workflow orchestration and scheduling, ideally Apache Airflow.
  • Understanding of data modeling concepts and data warehouse architecture.
Nice to Have
  • Familiarity with SAP ERP systems, including their table structures and modules.
  • Experience with SAP BW data warehousing solutions.
  • Experience with version control tools such as Git.

Job Requirements

Age
24 - 35 Years Old
Gender
Men / Women
Military service
Military service must be done
Education
Master| Industrial Engineering Bachelor| Computer and IT
Software
SAP| Basic Microsoft SQL Server| Intermediate Python| Intermediate Microsoft Power BI| Advanced Apache Airflow| Intermediate Git| Basic

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