Carbon Operations Data QA/ QC Assistant

About the Role:

This role includes performing information and data quality reviews and creating and maintaining standard work processes. Quality reviews and checks will be based on the organization's standards, as well as any applicable methodologies, especially within the Carbon environment. In addition, the person to fill this role will be at the forefront of ensuring the organization meets its goals for productivity, quality of service, and overall effectiveness.

Duties And Responsibilities:

•  Develop SOPs and checklists for maintaining the highest quality of output from data and carbon operations-related activities.
• Review and audit raw surveys, analytical data, and documentation necessary to complete carbon projects in time both quantitatively and qualitatively.
• Ensure data and documentation comply 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 data analytics, customer experience, and commercial.
• Manage routine corrections of erroneous outputs.
• Automate manual quality checks for efficiency within the carbon department.

Skills And Experience:

• Individuals will need excellent technical abilities to carry out audit-like work in a data-heavy environment.
• 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 2 to 3 years of experience in data & process audit.
• Advanced data operations & data handling/analysis using Ms. Excel
• Data audit experience
• Process audit experience.