تحلیلگر کلان داده (پیمانکار) | Big Data Analyst (Vendor)
اطلاعات شغل:
متن کامل آگهی:
مأموریت:
- برای بالا بردن بلوغ داده های سازمان با اطمینان از کیفیت داده ها ، استفاده از فن آوری های داده بزرگ برای تجزیه و تحلیل پیشرفته و ترجمه بینش به استراتژی های عملی برای تصمیم گیری و تحول دیجیتال داده محور. مسئولیت ها:
- برای پشتیبانی از تیم در توسعه و اجرای معیارهای کیفیت داده ، نظارت بر کیفیت داده ها به مرور زمان و شناسایی مستقیم و حل مسائل مربوط به کیفیت داده ها.
- همکاری نزدیک با تیم های عملکردی متقابل برای اطمینان از هماهنگی با استانداردهای کیفیت داده ها و استفاده از داده های کارآمد برای هدایت ارزش کسب و کار. data integration and validation processes to ensure the accuracy and completeness of transferred information.
- to check revenue flow, free usage, and overall system health from both financial and non-financial perspectives.
- to utilize big data technologies such as open-source databases and apply advanced statistical and exploratory analytical techniques to analyze vast datasets, extract valuable insights, interpret complex data, and uncover patterns and ناهنجاری ها.
- برای تهیه و اجرای مدل های داده و الگوریتم ها برای بهینه سازی پردازش داده ها و تقویت فرآیندهای تصمیم گیری. اطمینان حاصل کنید که بهترین روش ها و تکنیک ها در تجزیه و تحلیل داده ها مورد استفاده قرار می گیرند.
- برای شناسایی فرصت ها برای بهینه سازی فرآیند و بهبود کارآیی در چارچوب مدیریت داده ها و تجزیه و تحلیل. از طریق هماهنگی با بخش های مربوطه ، هرگونه چالش و مسائل را برطرف کنید. برای بهینه سازی عملیات ، بهبود تجربه مشتری و رشد درایو.
- برای کمک به شفاف سازی دامنه پروژه یکپارچگی داده ها با همکاری ذینفعان کلیدی. از بلوغ دیجیتالی سازمان و نوآوری داده های محور سوخت در همه جنبه های مربوط به فن آوری های داده های بزرگ. با حداقل یک سال در تجارت ارتباط از راه دور (CVM ، BI ، مهندسی داده ها و علوم داده)
- 2 سال تجربه در مدیریت یک نمونه کارها از پروژه های فنی و تجاری
- کار در فرهنگ ها و جغرافیای متنوع ، سودمند است
- معماری داده
- داده های مدیریت
- Data
. تجزیه و تحلیل
- تجسم و ارائه داده ها
- مدیریت استراتژی
- یادگیری ماشین
- زبان های برنامه نویسی
- اطلاعات کسب و کار
- محاسبات توزیع شده
- تضمین کیفیت داده
صلاحیت های رفتاری
- رهبری
- نوآوری
- یکپارچگی
- یکپارچگی چابکی
Mission:
- To elevate the organization's data maturity by ensuring data quality, utilizing big data technologies for advanced analytics, and translating insights into actionable strategies for data-driven decision-making and digital transformation.
- To ensure data quality and integrity through monitoring, implementation of best practices, and leveraging big data technologies to extract valuable insights and drive business value.
Roles & Responsibilities:
- To support the team in the development and implementation of data quality metrics, monitoring data quality over time, and directly identifying and resolving data quality issues.
- To work closely with cross-functional teams to ensure alignment with data quality standards and efficient data utilization to drive business value.
- To identify and execute possible opportunities to leverage big data technologies to create business value aligned with digital transformation initiatives in the data dimension.
- To execute data integrity audits while working closely with the Marketing data science team and other relevant stakeholders.
- To develop and implement robust data integration and validation processes to ensure the accuracy and completeness of transferred information.
- To check revenue flow, free usage, and overall system health from both financial and non-financial perspectives.
- To utilize big data technologies such as Open-Source databases and apply advanced statistical and exploratory analytical techniques to analyze vast datasets, extract valuable insights, interpret complex data, and uncover patterns and anomalies.
- To develop and implement data models and algorithms to optimize data processing and enhance decision-making processes.
- To utilize data visualization tools to present findings and communicate key insights to stakeholders.
- To ensure adherence to data governance principles aligned with the data management and analytics framework.
- To stay abreast with industry trends and emerging technologies in big data analytics to ensure the best methods and techniques are used in data analytics.
- To identify opportunities for process optimization and efficiency improvements within the data management and analytics framework.
- To identify business requirements through collaboration with internal stakeholders and translate them into actionable analytical tasks.
- To document processes, methodologies, and findings to facilitate knowledge sharing and ensure organizational continuity.
- To ensure data integration and reporting, and address any challenges and issues through coordination with relevant departments.
- To ensure the smooth transfer of customer data and safeguard the integrity of business intelligence (BI) and Big Data Systems during migration from the current system to the new system.
- To work with channels to ensure seamless integration with the new charging system and accurate reporting of service prices.
- To work closely with cross-functional teams to identify business objectives and provide data-driven inputs to optimize operations, improve customer experience, and drive growth.
- To assist in the clarification of the data integrity project’s scope in collaboration with key stakeholders.
- To build and optimize seamless data pipelines to ensure data accuracy, completeness, and accessibility, empowering informed decision-making
- To support the team in the development and execution of a transformative big data strategy, aligned with commercial objectives.
- To assist in the elevation of the organization's digital maturity and fuel data-driven innovation across all aspects related to big data technologies.
Education:
- Bachelor’s degree in Information Technology or related fields.
- An MBA degree or a Master’s degree is advantageous.
Experience:
- Technical data handling tracks record of 3 years or more, with at least one year in telecommunication-related business (CVM, BI, data engineering, and data science).
- 2 years of experience in managing a portfolio of technical and business projects.
- Working across diverse cultures and geographies is advantageous.
Technical Competencies:
- Data Architecture.
- Requirement Analysis.
- Database Management.
- Big Data Platforms.
- Reporting and Analysis.
- Data Visualization & Presentation.
- Strategy Management.
- Machine learning.
- Programming Languages.
- Business Intelligence.
- Distributed Computing.
- Statistical Analysis.
- Data Quality Assurance.
Behavioral Competencies:
- Leadership.
- Innovation.
- Relationship.
- Integrity.
- Can-do.
- Customer Centricity.
- Agility.
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