Data Analyst

We are seeking a meticulous and analytical Data Analyst to manage master data, ensure data quality, and support reporting and analysis initiatives. You will be responsible for overseeing the reporting environment, identifying and revising reporting requirements, and providing technical expertise in data management. This role involves working with confidential data, training end-users, and contributing to data integrity efforts.

Roles & Responsibilities:

• Manage master data, including its creation, updates, and deletion.
• Manage users and user roles within data systems.
• Provide quality assurance of imported data, collaborating with quality assurance analysts if necessary.
• Oversee the commissioning and decommissioning of data sets.
• Process confidential data and information strictly according to established guidelines.
• Assist in developing various reports and analyses to support business needs.
• Manage and design the reporting environment, including defining data sources, security protocols, and metadata.
• Support the data warehouse team in identifying and revising reporting requirements.
• Support initiatives focused on data integrity and normalization.
• Assess tests and implement new or upgraded software, assisting with strategic decisions on new systems.
• Generate reports from single or multiple systems.
• Troubleshoot issues within the reporting database environment and reports.
• Evaluate changes and updates to source production systems.
• Train end-users on new reports and dashboards.
• Provide technical expertise in data storage structures, data mining, and data cleansing.

Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in managing and maintaining master data.
• Experience with data quality assurance processes.
• Ability to handle confidential data with discretion.
• Experience in developing reports and conducting data analysis.
• Knowledge of designing and managing reporting environments, including data sources, security, and metadata.
• Understanding of data warehousing concepts and reporting requirements.
• Familiarity with data integrity and normalization principles.
• Technical expertise in data storage structures, data mining, and data cleansing.
• Excellent communication skills for training end-users and collaborating with teams.
• Detail-oriented with a focus on data accuracy.

QUALIFICATION:

• Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.