Data Quality Assurance Officer Job at BURN

Duties and Responsibilities

• Develop SOPs and checklists for maintaining the highest quality of output from data and related units
• Review and audit raw survey, analytical data, and documentation necessary to complete carbon projects in time both quantitatively and qualitatively
• Ensure data and documentation complies with laid down SOPs and methodologies
• Collaborate and liaise closely and regularly with the relevant team members across the critical departments including but not limited to market intelligence, carbon, and commercial.
• Manage routine corrections of erroneous output
• Creating comprehensive monthly reports on the Pareto of issues, including root causes, examples, trends, and options for solutions.
• Project management and contribution to the creation of dashboards and ownership of oversight on the key issues and trends.

Skills and Experience

Individuals will need excellent technical abilities to carry out audit-like work in a data-heavy environment.

• Relevant technical data handling skills or knowledge including programming languages (SQL/R/python), spreadsheet applications e.g., Ms. Excel /programs, and strong data & processes audit background to ensure compliance.
• Meticulous and a keen eye for detail e.g., spotting an error, outlier, or inconsistent formula in a data output with hundreds of rows & tens of columns.
• Required soft skills include people and teamwork skills, critical thinking, and problem-solving.
• The role-holder is expected to have strong analytical abilities to evaluate the information for effectiveness and accuracy and create ways to improve an organization’s data and information systems.
• This specialist should also have effective communication skills to interact with team members or customers, as well as provide training as needed to colleagues.
• Possess 3 to 5 years of experience in data & processes audit
• Franco-Anglo phone speaker would be an added advantage
• Advanced data operations & data handling/analysis using Ms. Excel and SQL
• Early stages in data handling and wrangling using R or Python (Pandas, Matplotlib)
• Data audit experience
• Process audit experience
• Project management