
Millennium
Responsibilities:
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Engage with end users to understand their requests, ensuring clear communication, and perform detailed data analysis to address their needs and deliver actionable insights.
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Support and enhance existing in-house data reporting processes.
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Support the data science and engineering teams in designing, building, and managing ETL pipelines.
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Resolve data issues in related applications, ensuring high-quality support throughout the resolution process.
Qualifications/Skills Required:
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Bachelor’s or master’s degree in computer science, Data Science, Business Analytics, or a related field from a reputable institution, with a strong academic record.
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5+ years of experience in a large-scale organization, primarily focused on data analytics or modeling projects.
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Strong proficiency in Python and SQL.
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Proficient in business intelligence tools and technologies, including Pandas, Tableau and Power BI.
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Experienced in prototyping analytics concepts and developing interactive solutions using tools like Streamlit.
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Advanced technical skills in MS Office, with a particular focus on Excel.
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Experience with machine learning algorithms and NLP techniques is preferred.
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Strong written and verbal communication skills.
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Experience in the financial industry is preferred.
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Ability to multitask and meet tight deadlines.
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Detail-oriented with a strong sense of ownership over work.
Apply now
Apply now
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