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What is a Data Analyst?
A Data Analyst is someone who gathers and utilizes data to generate information which will trigger decisions. Data Analysts assess the complex information by looking for trends, patterns to ensure that processes and systems are more efficient.
Data analysts collect, process, and perform statistical analysis of data and translate numbers into more common terms. By identifying trends and making predictions about the future, data analysts help companies understand how they should approach certain decisions. Data analysts manage and calibrate data using charts, graphs, tables, and graphs.
Job Overview
As a company deeply involved in providing world-class business solutions, Company A is looking for a Data Analyst who has 1-2 years of experience and is good at analyzing statistics and datasets. Data analysts will work with existing business data and present insights or recommendations for future business decisions.
Responsibilities and Duties
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Collaborate with teams across the company
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Create reports from single or multiple systems
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Assess tests and implement new or upgraded software and assist with strategic decisions on new systems
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Process confidential data and information according to guidelines
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Help identify the business data needed to generate useful insights and future analytics
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Leverage data to make actionable recommendations at all levels
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Develop and implement regional business plans that are aligned with program objectives
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Communicate insights and recommendations effectively to a broad team
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Monitor data management processes to ensure data quality and consistency
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Monitor system performance, data integrity, and usage metrics
Minimum Qualifications
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A bachelor's or master's degree in Mathematics, Business, Statistics, Economics, Computer science, or a related field
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Has at least 1-2 years of experience working as a data analyst
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Ability to carefully analyze, model, and interpret data
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Strong problem-solving skills and attention to detail
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Strong written and verbal communication skills
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Ability to analyze existing tools and databases to provide recommendations
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Experience with handling statistics, large data sets, and databases
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Proficient with statistics, datasets, and machine learning
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