Data Analyst (225-811)

A Data Analyst plays a crucial role in interpreting data, analyzing results, and providing actionable insights to guide business decisions. This position entails working closely with cross-functional departments to identify information needs and using various analytical tools to transform raw data into usable information. A Data Analyst is expected to have a keen eye for detail and a strong capability to discern trends and patterns from complex datasets. The successful candidate will have excellent problem-solving skills and be able to convey their findings concisely and clearly to stakeholders. A solid foundation in statistics, data modeling, and proficiency in data analysis software will be essential for excelling in this role, with a focus on ensuring data quality and accuracy.

Responsibilities

• Collect and interpret data from multiple sources to produce detailed reports.
• Develop and implement database management systems and procedures for data analysis.
• Identify trends and patterns in complex datasets across various business functions.
• Collaborate with multiple departments to gather and define analytical requirements.
• Present analytical findings and actionable insights to stakeholders and management.
• Maintain and update data systems, ensuring data integrity and accuracy at all times.
• Use statistical tools to identify, analyze, and interpret data sets each month.
• Create data dashboards, graphs, and visualizations for decision-making purposes.
• Manage and streamline the data collection process to improve efficiency and accuracy.
• Perform quality control checks on external and internal data sources regularly.
• Provide technical assistance and training to staff on data management tools.
• Stay updated with the latest data analytics technologies and methodologies.

Requirements

• Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics.
• Proficiency in data analysis tools such as SQL, Excel, and Python or R.
• Solid understanding of data processing frameworks and database management systems.
• Experience with big data tools like Hadoop, Spark, or Data Warehousing solutions.
• Excellent analytical skills with the capability to identify patterns and trends.
• Strong communication skills to present findings clearly and concisely to stakeholders.
• Attention to detail and a commitment to accuracy in data analysis deliverables.