• Application Deadline: Mon, 12 Jun 2023 00:00:00 GMT
• Position: Data Analyst


• Job Type Full Time


• Qualification BA/BSc/HND


• Experience


• Location Lagos


• Job Field Data Science / Research 
  

Job Brief

• We are looking to hire a data analyst to join our data team.


• You will take responsibility for managing our master data set, developing reports, and troubleshooting data issues.


• To do well in this role you need a very fine eye for detail, experience as a data analyst, and a deep understanding of the popular data analysis tools and databases.

Responsibilities

• Managing master data, including creation, updates, and deletion.


• Managing users and user roles.


• Provide quality assurance of imported data, working with quality assurance analysts if necessary.


• Commissioning and decommissioning of data sets.


• Processing confidential data and information according to guidelines.


• Helping develop reports and analysis.


• Managing and designing the reporting environment, including data sources, security, and metadata.


• Supporting the data warehouse in identifying and revising reporting requirements.


• Supporting initiatives for data integrity and normalization.


• Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems.


• Generating reports from single or multiple systems.


• Troubleshooting the reporting database environment and reports.


• Evaluating changes and updates to source production systems.


• Training end-users on new reports and dashboards.


• Providing technical expertise in data storage structures, data mining, and data cleansing.

Requirements

• Bachelor's Degree from an accredited university or college in computer science.


• Work experience as a data analyst or in a related field.


• Ability to work with stakeholders to assess potential risks.


• Ability to analyze existing tools and databases and provide software solution recommendations.


• Ability to translate business requirements into non-technical, lay terms.


• High-level experience in methodologies and processes for managing large-scale databases.


• Demonstrated experience in handling large data sets and relational databases.


• Understanding of addressing and metadata standards.


• High-level written and verbal communication skills.