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Data Analyst at Blume Nigeria Limited

Blume Nigeria LimitedLagos, Nigeria Data and Artificial Intelligence
Full Time
Blume Nigeria Limited is a privately owned international trading and distribution company. Our management has many years experience in the fields of production, importing and distributing of foods products.

Job Summary

  • We are looking to hire a data analyst to join our team. The ideal candidate will take responsibility for managing our master data set, developing reports, and troubleshooting data issues.

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

Requirements

  • Bachelor’s degree in computer science, statistics or related fields
  • Minimum of 3 years as a data analyst or in a related field.
  • Experience as a data analyst and a deep understanding of popular data analysis tools and databases.
  • 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.

Method of Application

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