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Marketing Business Analysis Supervisor

Tehran/ Vanak
Full Time
شنبه تا چهارشنبه
-
-
More than 5001 employees
Internet Provider / E-commerce / Online Services
Iranian company dealing only with Iranian entities
1385
Privately held
توضیحات بیشتر

key Requirements

6 years experience in similar position

Job Description

About the Role

The Marketing Business Analysis Supervisor leads data-driven initiatives within the Performance Marketing team. This role focuses on ensuring data accuracy, analyzing marketing performance, and monitoring KPIs to generate actionable insights that enhance strategic and operational decision-making.

The position also aims to increase team efficiency through automation of analytical workflows and development of custom tools and dashboards. Additionally, it plays a key role in advancing the analytical capabilities of the marketing team by researching and developing AI-based solutions, particularly agents powered by large language models (LLMs).

Key Responsibilities

  • Design and implement data validation frameworks and deliver accurate reports and insights.

  • Define, calculate, and monitor marketing KPIs and performance objectives.

  • Automate data collection and integration from multiple sources to ensure consistency and efficiency.

  • Develop and maintain custom analytical tools, dashboards, and scripts to support marketing operations.

  • Conduct R&D on AI and automation technologies (including LLM-based agents) to enhance marketing performance analytics.

Qualifications & Competencies

  • Strong background in marketing analytics, data analysis, and business intelligence tools.

  • Proficient in SQL, Python, or BI platforms (e.g., Power BI, Tableau, or Looker).

  • Excellent analytical thinking and problem-solving abilities with a strong attention to detail.

  • Experience in process automation or AI-driven marketing is an advantage.

  • Effective communicator with strong teamwork and leadership skills.

  • Bachelor’s or Master’s degree in Marketing, Business Analytics, Data Science, or a related field.

Job Requirements

Gender
Men / Women

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