Bayt.com
https://bayt.page.link/v1TUmrkCw1dqRip19
أنشئ تنبيهًا وظيفيًا للوظائف المشابهة

الوصف الوظيفي

  1. Data Analysis and Interpretation:
  • Collect, process, and analyze large datasets from multiple sources, including financial, operational, and market data.
  • Identify patterns, trends, and correlations within the data that can provide actionable insights for decision-making.
  • Translate complex data analyses into clear, understandable reports and presentations for both technical and non-technical stakeholders.
  1. Data-Driven Decision Support:
  • Collaborate with the portfolio management, finance, and operations teams to integrate data analytics into business planning and decision-making processes.
  • Provide recommendations on optimizing asset performance, reducing costs, and maximizing returns based on data-driven insights.
  • Support scenario analysis and stress testing to assess the impact of different strategies and market conditions.
  1. Data Visualization and Reporting:
  • Create interactive dashboards and visualizations that allow stakeholders to explore and understand key metrics and trends.
  • Ensure that data visualizations are tailored to the needs of different audiences, from senior management to operational teams.
  • Maintain and update reporting tools to provide real-time insights into portfolio performance and other key metrics.
  1. Data Governance and Quality Assurance:
  • Establish and maintain data governance practices to ensure the accuracy, consistency, and security of data.
  • Work with IT and other departments to ensure data is collected, stored, and processed in compliance with company policies and regulations.
  • Conduct regular audits and validations to maintain the integrity of datasets and models


  • ​​​  5. Innovation and Continuous Improvement:Stay up to date with the latest developments in data science, analytics, and machine learning to continuously improve methodologies and tools.
  • Propose and implement innovative solutions that leverage data to address complex business challenges.
  • Foster a data-driven culture within the organization by promoting the value of analytics and encouraging the use of data in decision-making


المهارات

  • Education: Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • A master’s degree or Ph.D. in a relevant discipline is preferred.

  • Experience: At least 5-8 years of experience in data science, analytics, or a related field, with a strong focus
  • on data-driven decision support. Experience in the infrastructure or asset management industry is a plus.

  • Skills:
  • Proficiency in programming languages such as Python, R, or SQL.
  • Strong knowledge of machine learning algorithms, statistical analysis, and data mining techniques.
  • Experience with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Ability to translate complex data into actionable insights and communicate them effectively to non-technical stakeholders.
  • Experience in working with large datasets and databases, including cloud-based data storage solutions.
  • Strong problem-solving skills and a proactive approach to identifying and addressing challenges.
  • Ability to independently drive initiatives, from concept to implementation, within the data science domain.
  • Excellent communication skills, with the ability to work collaboratively across departments and present data-driven insights to diverse teams.


تفاصيل الوظيفة

منطقة الوظيفة
الرياض المملكة العربية السعودية
قطاع الشركة
الاستعانة بالمصادر الخارجية للموارد البشرية
طبيعة عمل الشركة
صاحب عمل (القطاع الخاص)
الدور الوظيفي
تكنولوجيا المعلومات
نوع التوظيف
دوام كامل
الراتب الشهري
غير محدد
عدد الوظائف الشاغرة
1
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متابعة الغاء المتابعه

We’re about partnerships! At Career Maker, our aim is changing lives for the better by connecting talent with opportunity. We offer specialised recruitment services spanning across a range of industries with a culture that is focused on exceptional customer service. We are eager to get to know you and your company because that’s how we form real partnerships: partnerships that change lives.

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