Data Operations Specialist

The Data Operations Specialist is responsible for assisting in the delivery of quality, integrity, and efficacy of asset data across our information environment and is responsible for executing data quality routines. This individual will proactively monitor, measure, track and report on data pipelines/processes. The Specialist also provides technical execution of data quality runbooks, including the escalation of identified issues to the respective business owners and/or vendors as directed by the Senior Data Quality Engineer.

Responsibilities:

• He/she will be working with the Senior Data Quality Engineer to ensure proper monitoring, alerting, and tracking of data processes (ingestion, integration, and 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 operations 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.
• Contribute to team effort by accomplishing related results as needed.

Requirements:

• 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.
• Bachelor's degree in Computer Science, Data Analysis or an equivalent relevant qualification.