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Description:
The Big Data Analyst will be responsible for analyzing vast amounts of data, identifying trends, and providing actionable insights that support business strategies.
This role requires expertise in data science, with a strong focus on handling large datasets, advanced analytical techniques, and the ability to work with software tools designed for big data.
The Big Data Analyst will collaborate with various departments, including financial planning and analytics, to ensure data-driven decision-making across the organization.
Essential functions include analyzing large and complex datasets to identify trends, patterns, and correlations that inform business decisions.
The analyst will manage and organize large-scale datasets from multiple sources, ensuring data quality and consistency.
They will utilize big data tools and technologies to process, analyze, and derive meaningful insights from structured and unstructured data.
The role also involves using data science tools and software platforms to automate data collection, analysis, and reporting.
The analyst must ensure that the company’s big data infrastructure is optimized for efficiency and scalability.
Requirements:
Candidates must have 100% fluency in English, with exceptional English verbal and written communication skills.
A Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field is required.
A minimum of 2 years of experience in big data analysis, data science, or related roles is preferred.
Expertise in data science techniques, including data mining and statistical analysis, is necessary.
A strong software development background, with experience using big data tools, is required.
Industry experience in banking is preferred.
Proficiency in Microsoft Office applications, including Outlook, Excel, Word, PowerPoint, and Teams is required.
Candidates must have their own laptop or desktop to use, as the company does not supply equipment.
Benefits:
This is a Contract (Contractor)/Consultant position.