متخصص هوش تجاری دیجیتال (پیمانکار) | Digital Business Intelligence Specialist (Vendor)

نقش ها و مسئولیت ها:
-برای توسعه داشبوردهای تعاملی و گزارش های تجسم شده با استفاده از ابزارهای اطلاعاتی تجاری برای تیم های تجاری و مدیریت عالی اطلاعات مبتنی بر مورد را ایجاد کرده و گزارش های موقت را برای پرداختن به نمایش داده های ورودی ، و همچنین تهیه گزارش های هفتگی و ماهانه برای مدیریت تهیه کنید. پاکسازی برای اطمینان از صحت ، قوام و قابلیت اطمینان داده ها در همه منابع. تجزیه و تحلیل ، و پیش بینی روند اکوسیستم دیجیتال مبتنی بر تحقیقات بازار و جمع آوری داده ها. طراحی مدل های جدید جمع آوری داده ها برای جمع آوری اطلاعات بهتر و هماهنگی با بخش خود برای اجرای مدلهای جدید. در تجارت (بازاریابی / ارتباطات / مدیریت) ، فناوری اطلاعات ، مهندسی صنعتی یا برق یا مرتبط

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Roles & Responsibilities:
-To develop interactive dashboards and visualized reports using business intelligence tools for business teams and top management.to provide key insights to stakeholders.
-To analyze digital business performance, compare it with the business plan and budget, and provide feedback to the department In order to continuously improvements.
-To monitor digital business at all levels and update different dashboards regarding generated reports from the DBs.
-To generate case-based information and provide ad-hoc reports to address incoming queries, as well as prepare weekly and monthly reports for management.
-To develop and maintain ETL processes and data pipelines to support analytics, reporting, and machine learning deployment.
-To design, implement, and optimize data warehousing solutions to ensure efficient data storage and retrieval for analytics purposes.
-To implement processes for data validation and cleansing to ensure the accuracy, consistency, and reliability of data across all sources.
-To conduct necessary communications with reporting entities such as MKT Data Science, EDW, Finance, etc., to provide needed information/reports for the business and share it with concerned parties.
-To provide reviews and insights for all CPs, SPs, Digital Products and Services, and platforms throughout their life cycle to support business decisions.
-To monitor, analyze, and forecast the digital ecosystem trends based on market research and data gathering.
-To conduct data mining and provide segmentation for digital market targets and Digital plans (campaigns) to increase the effectiveness and performance of Digital P&Ss.
-To develop and implement machine learning models to support business objectives.
-To document the development process, features, and evaluation results of machine learning models to ensure transparency and facilitate future reference.
-To design new data collection models to better collect information and coordinate with the ITS -department to implement new models.
-To collaborate with DG departments in adopting new strategies to respond to the ever-changing digital business model environment.
-To keep abreast with the latest developments in data science, machine learning, and analytics best practices.

Education:
-B.Sc. in Commerce (Marketing / Communication/Management), IT, Industrial or electrical engineering or related

Experience:
-Minimum of 3 years of experience in an area of specialization
-Experience working in a medium organization