https://bayt.page.link/YX2xHFW5KfVpBK7g6

Data Analyst II

30+ days ago 2025/01/23

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Job Description

Responsibilities:

Collect, clean, preprocess, and analyze complex data sets from various sources to derive meaningful insights and identify trends.
Independently conduct data analysis and modeling to support business initiatives and solve complex problems.
Develop and maintain data reports, dashboards, and visualizations to effectively communicate findings to stakeholders.
Collaborate with cross-functional teams to understand their data needs and provide advanced analytical support.
Design and implement data quality checks and validation processes to ensure data accuracy and integrity.
Utilize statistical techniques and basic algorithms to uncover patterns and make data-driven recommendations.
Perform ad-hoc analysis and develop automated processes and tools to streamline data analysis workflows.
Stay updated on industry trends, best practices, and emerging technologies in data analysis and data management.
Mentor and provide guidance to junior data analysts, sharing your knowledge and expertise.

Job Qualifications

Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
2+ years of experience in a data analysis role, demonstrating a strong understanding of data analysis techniques and methodologies.
Proficiency in data manipulation and analysis using tools such as SQL, Python, R, or similar.
Experience with data visualization tools such as Tableau, Power BI, or similar, to create interactive visualizations and reports.
Strong analytical thinking and problem-solving skills, with the ability to independently analyze complex data sets and draw meaningful insights.
Knowledge of statistical concepts and experience applying statistical techniques.
Excellent verbal and written communication skills to effectively present data findings and insights to stakeholders.
Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
Strong attention to detail and ability to work with large datasets efficiently.

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