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ACB

TMO - Data Analytics Manager

Hội sở (Hồ Chí Minh), [TMO] Dữ liệu & Phân tích Quản lý Chuyển đổi - TMO
Manager Thương lượng Hạn: 2026-10-31

Mô tả công việc

Summary: Data Analytics Manager plays a critical role in driving data-driven decision-making across the bank. This position is responsible for deliver actionable insights, optimize business performance, and support strategic initiatives through advanced data analysis, reporting, and visualization. Key Responsibilities: Data Analysis & Insights - Analyze large datasets to identify trends, patterns, and opportunities. - Deliver insights that support customer segmentation, product performance, and operational efficiency. - Design and maintain dashboards and reports using tools like Power BI, Tableau, or Qlik… Data Governance & Quality - Ensure data accuracy, integrity, and compliance with regulatory standards. - Work with data engineering teams to improve data pipelines and infrastructure. Stakeholder Engagement - Present findings and recommendations to senior management and business units. - Translate complex data into clear, actionable business insights. Innovation & Continuous Improvement - Stay updated on industry trends, tools, and technologies. - Promote a culture of data literacy and continuous learning within the organization. Qualifications: - Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or related field. - At least 7 years of experience in data analytics, preferably in banking or financial services, MNC. - Strong proficiency in SQL, Python/R, and data visualization tools. - Experience with data warehousing, ETL processes, and cloud platforms (e.g., Azure, AWS). - Excellent communication, leadership, and project management skills. Preferred Skills: - Knowledge of banking products, customer behavior, and regulatory requirements. - Experience with machine learning models and predictive analytics. Nộp đơn ứng tuyển công việc này Họ & tên bạn * Địa chỉ email * Chọn văn phòng bạn dự tuyển Hội sở (Tp. HCM) Manager Experience [TMO] Dữ liệu & Phân tích Số điện thoại * Ngày tháng năm sinh * Công việc hiện tại của bạn * Nội dung (Cover letter) Ảnh chân dung Click to select image Giới tính (Gender)  * -- Giới tính (Gender) --Nam (Male)Nữ (Female)Không hiển thị (Not display) Trình độ học vấn (Education)  * -- Trình độ học vấn (Education) --Chưa tốt nghiệp (No degree)Phổ thông (High school)Trung cấpCao đẳng (College)Đại học (University/Academy)Thạc sỹ (Master)Tiến sỹ (PhD)Sau đại học (Postgraduate)Khác (Others) Tên trường Đại học/Cao Đẳng/Trung Cấp (University/Academy) Chuyên ngành Loại tốt nghiệp -- Loại tốt nghiệp --GiỏiKháTrung bình KháTrung bìnhYếuKém Kinh nghiệm + Thông tin thêm CV của bạn * Click để chọn & tải lên CV của bạn Nộp đơn ứng tuyển Bỏ qua --> { "@context": "http://schema.org", "@type": "JobPosting", "baseSalary":{ "@type":"MonetaryAmount", "currency":"vnd", "value":{ "@type": "QuantitativeValue", "minValue": "0", "maxValue": "0", "unitText": "MONTH" } },"jobLocation" : { "@type": "Place", "address": { "@type": "PostalAddress", "addressLocality": "No address locality", "addressRegion": "No address region", "streetAddress": "No street address", "postalCode": "0" } }, "datePosted":"2025-03-05", "description":"Summary: Data Analytics Manager plays a critical role in driving data-driven decision-making across the bank. 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Innovation & Continuous Improvement - Stay updated on industry trends, tools, and technologies. - Promote a culture of data literacy and continuous learning within the organization. Qualifications: - Bachelor’s or Master’s degree in Data Science, Statistics, Economics, Computer Science, or related field. - At least 7 years of experience in data analytics, preferably in banking or financial services, MNC. - Strong proficiency in SQL, Python/R, and data visualization tools. - Experience with data warehousing, ETL processes, and cloud platforms (e.g., Azure, AWS). - Excellent communication, leadership, and project management skills. Preferred Skills: - Knowledge of banking products, customer behavior, and regulatory requirements. - Experience with machine learning models and predictive analytics. 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