Data Analyst

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TYPE OF WORK

Full Time

SALARY

20,000-80,000

HOURS PER WEEK

48

DATE POSTED

Dec 4, 2024

JOB OVERVIEW

We are seeking a highly motivated and detail-oriented Data Analyst to join our dynamic team. In this role, you will analyze large sets of data, uncover trends and insights, and assist in making data-driven decisions to support business operations and strategies. You will work closely with cross-functional teams to provide actionable insights that will help us improve performance, optimize processes, and achieve company goals.

Key Responsibilities:

Collect, clean, and analyze data from various sources, ensuring data quality and accuracy.
Develop and maintain dashboards, reports, and visualizations to present data insights clearly and effectively.
Identify trends, patterns, and correlations within large datasets and translate them into actionable insights.
Collaborate with key stakeholders to understand business needs and provide data-driven recommendations.
Conduct statistical analysis to evaluate business performance and guide strategic decisions.
Perform ad-hoc analysis and reporting as required by different departments.
Stay up to date with industry best practices, emerging technologies, and new tools in data analytics.
Qualifications:

Bachelor’s degree in Data Science, Computer Science, Statistics, Economics, or a related field.
Proven experience as a Data Analyst or in a similar analytical role.
Strong proficiency in data manipulation and analysis using tools such as SQL, Python, R, or similar.
Experience with data visualization tools (e.g., Power BI, Tableau, or similar).
Strong analytical thinking and problem-solving abilities.
Excellent communication skills with the ability to present complex data in an understandable format.
Familiarity with statistical methods and techniques for data analysis.
Detail-oriented with a strong commitment to data accuracy and integrity.
Preferred Qualifications:

Experience with machine learning algorithms and predictive analytics.
Knowledge of data warehousing concepts and ETL processes.
Experience with cloud platforms (AWS, Azure, Google Cloud).

Please send your CV.

SKILL REQUIREMENT
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