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  "job_description": "Our client, a leading organisation in the data and insights sector, is offering an exciting opportunity for graduates eager to begin their career in data analytics. As a Data Analyst, you’ll contribute to a range of projects involving data collection, processing, and analysis across multiple business areas, helping transform raw data into meaningful insights.\n\nThis role offers hands-on experience with real-world datasets, enabling you to build your technical and analytical skills while supporting the development of reports, dashboards, and data-driven solutions that inform key business decisions. You’ll be part of a structured, supportive environment designed to help you master statistical techniques, work with leading data tools, and grow alongside experienced analytics professionals.\n\nThis is an excellent opportunity for ambitious graduates looking to combine practical learning with exposure to real business challenges and make a tangible impact from day one.\n\nKey Responsibilities:\n• Collect, clean, and analyse datasets to uncover valuable insights.\n• Support the creation of accurate, visually engaging reports and dashboards.\n• Collaborate with senior analysts on diverse and high-impact projects.\n• Learn and apply leading statistical methods, tools, and software.\n\nRequirements:\n• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.\n• Strong analytical mindset with excellent attention to detail.\n• Basic knowledge of Excel, SQL, and data visualisation tools such as Tableau or Power BI.\n• Enthusiasm for learning, problem-solving, and professional development.\n\nWhat We Offer:\n• Structured training and continuous professional development.\n• A collaborative and supportive team culture.\n• Competitive salary with a comprehensive benefits package.\n\nTake the first step toward a successful career in data analytics. Join a company that values innovation, growth, and collaboration — and start turning data into insights that drive real business results.",
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  "job_posted_at_datetime_utc": "2026-03-06T00:00:00.000Z"
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