مدیانا
مدیانا

Senior Data Analyst

Tehran/ Saei-Tavanir
Full Time
saturday to wednesday
-
Bonus -Military Service Option -Health insurance -Flexible working hours -Learning stipends -Game room -Breakfast -Occasional packages and gifts
11 - 50 employees
IT / Software / Hardware
Iranian company dealing only with Iranian entities
1393
Privately held
توضیحات بیشتر angle

key Requirements

5 years experience in similar position

Job Description

 We are looking for a Data Analyst, to enable decision-makers in Mediana for data-driven decision making, and also to perform analytical tasks in areas where key decisions are being made. The role requires advanced analytical skills, hands-on approach on analytical tools, business sense and communication skills.

Job Description:

  • Design and develop metrics and dashboards for internal stakeholders.
  • Validate and audit data accuracy and the functionality of existing dashboards.
  • Manage the collection and validation of user requirements for data analytics.
  • Lead the identification and resolution of data quality issues.
  • Coordinate with data engineers to ensure data infrastructure meets analytics needs.
  • Oversee and mentor junior data analysts in their daily tasks and projects.
  • Perform ad-hoc analysis and deliver insights on internal operations.
  • Manage stakeholder communication for clarifying data requirements and reporting results.
  • Review and refine analytical processes, tools, and methodologies to enhance productivity.

    Required Skills:
  • Proven experience in data analysis in a tech-focused environment.
  • Strong proficiency with SQL and experience in using SQL Server databases.
  • Solid understanding of data warehousing and OLAP principles.
  • Expertise in a major data visualization tool (Power BI is preferred)
  • Capability to work with self-service data tools like Metabase
  • Ability to interpret data and turn it into actionable insights.
  • Strong problem-solving skills and attention to detail.

Nice to have:

  • Proficiency in handling and analyzing unstructured data
  • Experience in a fast-paced, evolving business setting
  • Familiarity with data science concepts, particularly in NLP and fraud detection algorithms

Job Requirements

Age
25 - 37 Years Old
Gender
Men / Women
Military service
Military service must be done
Software
PowerBI| Advanced Python| Intermediate T-Sql| Advanced

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