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کد آگهی: KP322043553
استخدام Senior Data Analyst
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گروه اسنپ | Snapp Group
در تهران
اطلاعات شغل:
نوع همکاری: تمام‌وقت
مدرک تحصیلی مورد نیاز: کارشناسی
وضعیت نظام وظیفه: کارت پایان خدمت یا معافیت
مهارت‌های مورد نیاز:
Data Analysis
تجزیه و تحلیل
Python
پرداخت‌ها: توافقی
متن کامل آگهی:
SnappBox is looking for a Senior Data Analyst to support our Operations team. You will analyse operational data, perform statistical analysis, build dashboards, and design data-driven solutions that improve efficiency, reduce manual work, and support real-time decision-making. This role requires strong analytical thinking, clear communication, and the ability to collaborate with multiple teams to turn insights into action.
Key Responsibilities
- Analyse operational data to identify performance trends, inefficiencies, and improvement opportunities.
- Perform statistical tests and advanced analysis to validate findings and support data-driven decisions.
- Design and maintain scalable dashboards and reporting tools in Power BI for operational visibility.
- Develop automation scripts and data workflows in Python to reduce manual monitoring and improve efficiency.
- Work closely with Operations, Product, Commercial, and other teams to understand business needs and provide actionable insights.
- Define and track KPIs to support performance management, resource planning, and operational improvements.
- Communicate findings clearly to both technical and non-technical stakeholders.
- Ensure proper documentation of analysis processes, dashboards, and models for scalability and maintainability.
Qualifications
- 4+ years of experience as a Data Analyst or in a similar role.
- Strong proficiency in:
- SQL (ClickHouse & MySQL)
- Power BI (dashboards & data visualisation)
- Python (data processing & automation)
- Experience working with large datasets and operational metrics.
- Experience performing statistical analysis, hypothesis testing, and predictive modelling.
- Ability to simplify complex data into clear recommendations.
- Fluency in Farsi and English.
- Thrive in a fast-paced environment, able to work under pressure, meet tight deadlines, and provide 24/7 availability for urgent issues.
- Familiarity with data tools such as Kafka, Airflow, or Spark is a plus.
Benefits
- Transportation discount and voucher
- Organisational food discount
- Loans
- Learning budget
- Team Building Budget
- Wellness Budget
- Comprehensive health, dental, and vision insurance
- Flexible working hours
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چهارشنبه 15 آبان 1404، ساعت 12:16