We are looking for a qualified Data Analyst. A data analyst is responsible for collecting, processing, and performing statistical analyses on large datasets to identify trends and insights that can help inform business decisions. They may also be responsible for creating visualizations and dashboards to communicate their findings to stakeholders.

Other job duties of a data analyst may include data cleaning, data mining, and designing experiments. Additionally, data analysts must have strong skills in programming languages such as Python or R, and proficiency in SQL and database management.

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• 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.

• Bachelor’s degree from an accredited university or college in computer science
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• A bachelor's degree in mathematics or computer engineering is required
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• 2+ years of data mining experience 4+ years of data analyst experience
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• Work experience as a data analyst or in a related field.

• Ability to work with stakeholders to assess potential risks.

• Ability to analyse 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.