Data Operations Analyst

ROLES AND RESPONSIBILITIES

• He/she will be working with the Senior Data Quality Engineer to ensure proper monitoring, alerting, and tracking of data processes (ingestion, integration, & quality processes).
• Should be able to identify, assess, monitor, document, and communicate potential quality issues in the way data is collected, stored, processed, or used.
• Identify the root causes of data quality errors, remediate them according to the defined protocol, and recommend long-term mitigating solutions.
• Should be able to document data operation and monitoring solutions in clear and concise guides.
• Execute data quality runbooks when required, including notifying 3rd party data providers, communicating the issues to MIO data stakeholders, and restarting data processes.
• Should be good at creating and codifying data quality rules using the data quality platforms (Informatica) for use by the broader data operations team.
• Create and maintain data catalogues and business dictionaries/glossaries in Informatica.
• Participate in committee meetings and workshops with data stakeholders.
• Contributes to team effort by accomplishing related results as needed.

SKILLS / COMPETENCIES

• 2+ years of experience in a business analyst, data quality, systems analyst, or data-focused role
• Prior experience in asset management is mandatory
• Familiarity with the concepts of Data Governance, Data Quality or Master Data Management is essential
• Good understanding of programming and scripting skills (e.g., SQL, Python) to support data operations and automation is desirable
• Experience in solving data analytics problems and effectively communicating results and methodologies
• Strong analytical, problem-solving, and English communication skills, both written and spoken
• Ability to regularly learn and adopt new technology
• Bachelors degree in Computer Science, Data Analysis or equivalent relevant qualification