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The Junior Data Analyst plays a key role in supporting the delivery of high-quality, reliable, and timely insights across Consumer. Working as part of a multidisciplinary data squad, the role focuses on data preparation, dashboard development, data quality checks, and supporting senior analysts with analysis that underpins decision-making across Marketing, Sales, Trading, Digital, and Service. This is an ideal role for someone early in their data career who is eager to learn modern data tooling (GCP, SQL, BigQuery, QlikSense) and wants to contribute to the delivery of automated, scalable, self-serve analytics.
Job Responsibility:
Extract, clean, transform, and validate data using SQL and BT’s cloud data platforms (GCP / BigQuery)
Conduct data quality checks, reconcile data sources, and flag anomalies or issues early
Maintain documentation and ensure datasets and reports meet governance and accuracy standards
Support senior analysts with exploratory analysis and deep dives
Produce clear, concise tables, charts, and narrative outputs to answer commercial questions
Help quantify performance trends (e.g., sales, churn, digital journeys, campaign effectiveness)
Build and maintain QlikSense dashboards used by operational and commercial teams
Refresh recurring reports and troubleshoot data issues in BAU cycles
Contribute to the automation of manual Excel-based reporting
Work within an agile, cross-functional squad alongside product owners, data engineers, and decision scientists
Participate in stand-ups, sprint ceremonies, and planning
Engage with stakeholders to understand requirements and translate them into analytical tasks
Identify opportunities to simplify processes, improve data quality, and automate manual tasks
Learn and adopt BT standards for code quality, versioning, tagging, and governance
Stay current with industry analytics practices and BT’s cloud tooling
Requirements:
Basic SQL skills (e.g., SELECT, JOIN, GROUP BY, filtering)
Understanding of data structures, ETL processes, and analytical concepts
Experience using Excel for data manipulation and analysis
Curiosity, strong attention to detail, and willingness to learn
Ability to explain findings clearly to non-technical audiences
Ability to work collaboratively in a team environment
Nice to have:
Experience with BigQuery, GCP, or other cloud data platforms
QlikSense report building
Exposure to Python for data analysis or automation
Understanding of data governance, documentation, and version control (e.g., Git)