IBM Recruitment 2023

As a Data Analyst at IBM, you will be responsible for extracting, analyzing, and interpreting large volumes of data to provide actionable insights and support data-driven decision-making. This role requires a strong analytical mindset, excellent problem-solving skills, and proficiency in data manipulation and visualization tools. You will work closely with cross-functional teams to understand business requirements and deliver data-driven solutions.

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Responsibilities:

• Collect, clean, and transform data from various sources to ensure accuracy and consistency.
• Analyze complex datasets using statistical techniques and data visualization tools to identify trends, patterns, and correlations.
• Interpret data and present findings in a clear and concise manner through reports, dashboards, and visualizations.
• Implement data quality controls and perform data validation to identify and resolve data anomalies or discrepancies.
• Collaborate with IT teams to optimize data storage, retrieval, and integration processes.
• Stay updated on industry best practices and emerging trends in data management and analytics.

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Requirements:

• Strong proficiency in SQL and experience with data manipulation languages (e.g., Python, R).
• Proficiency in data visualization tools such as Tableau, Power BI, or similar.
• Solid understanding of statistical concepts and experience with statistical analysis.
• Strong problem-solving and critical-thinking skills with a keen attention to detail.
• Excellent communication skills to effectively present complex data findings to both technical and non-technical stakeholders.
• Ability to work collaboratively in a team environment and manage multiple projects simultaneously.
• Familiarity with big data technologies and machine learning concepts is a plus.