Data Analyst Excel Expert0-1

Overview:

Key Responsibilities:

• Utilize advanced Excel functionalities to manipulate and analyze large datasets.
• Collaborate with teams to identify data requirements and provide solutions.
• Develop and maintain Excelbased dashboards and reports.
• Conduct indepth data analysis to identify trends patterns and correlations.
• Perform adhoc analysis and provide actionable insights to support decisionmaking.
• Ensure data accuracy and integrity through rigorous validation and cleansing.
• Utilize SQL to extract transform and load data for analysis.
• Conduct statistical analysis to support business initiatives.
• Provide support in data visualization and presentation of findings.
• Participate in the development and implementation of data governance policies and procedures.
• Identify and implement process improvements related to data analysis and reporting.
• Communicate findings and insights to stakeholders in a clear and concise manner.
• Stay updated on industry trends and best practices in data analysis.

Required Qualifications:

• Bachelors degree in a relevant field such as Data Science Statistics Mathematics or a related discipline.
• Proven experience as a Data Analyst with expertise in advanced Excel functions.
• Proficiency in SQL for data extraction and manipulation.
• Solid understanding of statistical concepts and methodologies.
• Strong analytical and problemsolving skills.
• Experience in developing complex Excelbased models and tools.
• Ability to work with large datasets and perform data cleansing and validation.
• Excellent communication and presentation skills.
• Ability to work effectively in a collaborative team environment.
• Detailoriented with a focus on data accuracy and quality.
• Familiarity with data visualization tools such as Tableau or Power BI is a plus.
• Knowledge of programming languages such as Python or R is an advantage.
• Ability to prioritize and manage multiple tasks with deadlines.
• Strong business acumen and the ability to translate data insights into actionable recommendations.
• Commitment to continuous learning and professional development in the field of data analysis.

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