Description
We are seeking a Data Quality Analyst to implement data quality processes and procedures, ensuring reliable and trustworthy data. You will extract actionable insights to help the organisation improve operations and optimise resources.
Accountabilities
- Investigate and analyse data issues related to quality, lineage, controls, and authoritative source identification.
- Execute data cleansing and transformation tasks to prepare data for analysis.
- Design and build data pipelines to automate data movement and processing.
- Develop and apply advanced analytical techniques, including machine learning and AI, to solve complex business problems.
- Document data quality findings and recommendations for improvement.
Analyst Expectations
- Perform prescribed activities in a timely manner and to a high standard, consistently driving continuous improvement.
- Demonstrate in-depth technical knowledge and experience in assigned area of expertise.
- Lead and supervise a team, guiding and supporting professional development, allocating work requirements, and coordinating team resources.
- Partner with other functions and business areas.
- Take responsibility for end results of team's operational processing and activities.
- Escalate breaches of policies/procedures appropriately.
- Advise and influence decision-making within own area of expertise.
Requirements
- Strong expertise in SQL, SAS/Python, data analytics, and reporting.
- Expertise in identifying automation opportunities and automating workflows using AI tools such as Copilot and GitLab Duo.
- Excellent communication and interpersonal skills.
- Strong analytical and problem-solving skills.
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