Data Analyst

Job Brief

Insert customer and account data by inputting text‑based and numerical information from source documents within time limits; compile, verify accuracy, and sort information according to priorities to prepare source data for computer entry; review data for deficiencies or errors, correct any incompatibilities if possible, and check the output. Research and obtain further information for incomplete documents. Apply data program techniques and procedures.

Generate reports, store completed work in designated locations, and perform backup operations. Scan documents and print files when needed. Keep information confidential. Respond to queries for information and access relevant files. Comply with data integrity and security policies. Ensure proper use of office equipment and address any malfunctions.

• Determining organizational goals.
• Mining data from different sources.
• Managing master data by creating, updating, cleaning, and trimming data.
• Grant technical expertise on cleaning, trimming, and storage of data.
• Analyze and interpret results.
• Identify trends, correlations, and patterns in complicated data.
• Present findings and concise data reports which include management of data sources, security, and metadata.
• Design relational databases and data systems.
• Work with higher officials and the management teams to set up business and information needs.
• Come up with new process improvement opportunities.
• Promoting data integrity and normalization.
• Pay attention to the confidentiality of the data.
• Evaluating changes and updates.

• Bachelor’s degree in Computer Science and other related courses.
• Proven work experience as a data analyst.
• Good analytical skills.
• Good interaction with the higher officials and colleagues.
• Ability to handle large data sets and relational databases.
• Good communication skills include the ability to speak clearly and be able to communicate complex ideas into an easily understandable form.
• Critical thinking skills.
• Great attention to detail for the desired accuracy.
• Statistical and Mathematical knowledge.
• Acquaintance with technical tools in the industry.