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Data Analyst
2 months ago
Job Title: Data Analyst
Location: Not specified
Contract: Permanent
Job Type: Full-time
About the Role:
We are seeking a highly skilled Data Analyst to join our Data Platform Team at Boots. As a Data Analyst, you will play a critical role in overseeing the entire data analysis process, including data collection, configuration, cleaning, analysis, visualization, and communicating findings for projects.
Key Responsibilities:
- Combine business and data analysis skills to capture data-centric requirements and data definitions, working with technical solution and project delivery teams.
- Document data requirements that address data sources, data provenance, data scope, and data quality.
- Profile large and complex data sets using SQL or other analytical tools to ensure they meet requirements.
- Identify data quality issues, data scope gaps, or data privacy issues within all data sets and ensure that these issues are addressed.
- Investigate the cause of data quality issues and initiate the most appropriate resolution.
- Document data mappings to identify the attributes of value that will be used in reporting layers and capture any data joins, cleansing, transformations, or calculations required.
- Work closely with the Data Designers to ensure that the data models incorporate all the data concepts.
- Contribute to data management forums to help establish and improve data standards and efficient ways of working.
- Enforce data management best practices, standards, and processes.
Requirements:
- Must be knowledgeable in SQL, essential for querying databases and managing large datasets.
- Understanding of Microsoft Azure cloud resources.
- Experience with metadata, master data, and reference data management.
- Conceptual, logical, and physical data modelling, data lineage/data flow mapping, and data quality.
- Familiar with ETL, pipelines, and data loading systems.
- Data protection, security, and governance awareness.
- Desirable to have Retail, Pharmacy, Supply Chain, and Product data domain experience.
- Knowledge of Data Bricks will be an advantage.
- Be comfortable with at least one programming language like Python.
- Knowledge of Agile processes such as Scrum.
What We Offer:
- Discretionary annual bonus
- Generous employee discounts
- Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
- Flexible benefits scheme including holiday buying, discounted gym membership, life assurance, activity passes, and more.
- Access to free, 24/7 counselling and support through TELUS Health, our Employee Assistance Programme.
Equal Opportunities:
We are an equal opportunities employer and welcome applications from all qualified candidates. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you to be at your best.
