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Graduate Data Analyst Jobs (Hybrid work)

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Graduate Trainee - Finance Analyst (Data Analyst)
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Launch your finance career in Penang with this hybrid Graduate Trainee role. Utilize Python, SQL, and ML to build predictive models and AI-driven solutions. Transform financial data into strategic insights while automating processes for key business decisions. A relevant degree and 1-2 years of e...
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Malaysia , Penang
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Not provided
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AMD
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Until further notice
Launch your career at the intersection of business and technology with graduate data analyst jobs. This entry-level profession is the gateway to a world where raw information is transformed into strategic insight, driving decision-making and innovation across every industry. As a graduate data analyst, you will begin your journey by mastering the art of turning complex, often messy datasets into clear, actionable intelligence that solves real-world business problems. Typically, professionals in this role engage in a core set of responsibilities that form the backbone of data-driven operations. Your day-to-day tasks will generally involve data collection and integration, where you pull information from various sources like databases, APIs, and spreadsheets. A significant portion of your work will be dedicated to data cleaning and validation, ensuring accuracy and consistency—a critical step often referred to as data wrangling. Following this, you will perform exploratory data analysis (EDA) to identify patterns, trends, and anomalies. A key output of your work is the creation of reports, dashboards, and visualizations using tools like Power BI or Tableau, which communicate your findings effectively to non-technical stakeholders. Increasingly, roles may also involve supporting the development of automated data pipelines and contributing to foundational predictive models, setting the stage for advanced data science. To succeed in these jobs, a specific skill set is commonly required. Technical proficiency is paramount, with SQL for database querying being almost universal. Programming knowledge in Python or R for data manipulation and statistical analysis is highly sought after, alongside a strong grasp of data visualization principles. Foundational understanding of statistics and analytical thinking is essential to interpret data correctly. Equally important are the core soft skills: sharp problem-solving abilities, meticulous attention to detail, and the capacity to translate technical results into compelling business narratives for colleagues in finance, marketing, or operations. Most graduate data analyst positions seek candidates with a bachelor’s degree in a quantitative field such as Data Science, Statistics, Computer Science, Economics, or Mathematics. Embarking on a search for graduate data analyst jobs means stepping into a career defined by continuous learning and impact. You will act as a crucial bridge between raw data and strategic action, empowering organizations to optimize performance, understand customers, and innovate. It is a profession that builds a powerful foundation for numerous career paths in analytics, business intelligence, and data science, offering a dynamic and in-demand start to your professional life.

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