Data  Analyst (225-919)

A Data Analyst plays a crucial role in interpreting and analyzing data to help businesses make informed decisions. They are responsible for collecting, processing, and analyzing data sets to uncover insights that can drive strategic business decisions. Data Analysts work closely with various departments to understand company goals and determine how data can be used to achieve these goals. They utilize statistical techniques, data visualization tools, and data modeling to provide actionable insights. Data Analysts need to have strong analytical skills, a keen attention to detail, and a deep understanding of data management and manipulation. They must also effectively communicate their findings to stakeholders, often through reports, dashboards, and presentations.

Responsibilities

• Collect and analyze large sets of data to support business decision-making.
• Develop and maintain reports, dashboards, and metrics for data-driven insights.
• Collaborate with cross-functional teams to understand business processes and data needs.
• Identify trends, patterns, and anomalies in data to provide actionable insights.
• Utilize advanced statistical techniques to interpret complex datasets efficiently.
• Prepare clear and comprehensive reports on data findings for stakeholder presentations.
• Develop and implement databases and data collection systems as required.
• Monitor and validate data quality, correctness, and consistency regularly.
• Provide recommendations for improving data collection, analysis, and processing.
• Ensure compliance with data governance standards and data privacy regulations.
• Continuously improve and optimize data processes and tools for efficiency.
• Work with IT and DevOps teams to automate data extraction and analysis workflows.

Requirements

• Bachelor’s degree in Data Science, Computer Science, or related field required.
• Proven experience as a Data Analyst or in a similar role for two years.
• Strong proficiency in data analysis tools such as SQL, Python, or R.
• Excellent understanding of data visualization tools like Tableau or Power BI.
• Solid knowledge of statistics and experience using statistical packages for analysis.
• Exceptional analytical and problem-solving skills with great attention to detail.
• Proficient in data management systems and data governance practices.