- Company Name
- EE
- Job Title
- Junior Data Analyst
- Job Description
-
Job title: Junior Data Analyst
Role Summary:
Assist in delivering reliable, timely insights for Consumer functions by preparing data, building dashboards, and supporting senior analysts with analysis that informs Marketing, Sales, Trading, Digital, and Service decisions.
Expactations:
- Apply foundational SQL (SELECT, JOIN, GROUP BY, filtering) to extract, clean, and transform data.
- Perform data quality checks, reconcile sources, and flag anomalies.
- Create clear visualizations and narratives to answer commercial queries.
- Build and maintain QlikSense dashboards, refresh recurring reports, and troubleshoot BAU issues.
- Collaborate in an agile squad, participate in sprint ceremonies, and translate stakeholder requirements into analytical tasks.
- Continuously improve processes, automate manual tasks, and adopt best practices for code quality and governance.
Key Responsibilities:
- Extract, clean, transform, and validate data using SQL on GCP/BigQuery.
- Conduct data quality checks, reconcile datasets, and document governance standards.
- Support senior analysts with exploratory analysis and performance trend quantification.
- Build, maintain, and troubleshoot QlikSense dashboards for operational and commercial teams.
- Automate manual Excel‑based reporting where possible.
- Engage with product owners, data engineers, and decision scientists in sprint planning and stand‑ups.
- Identify opportunities for process simplification, data quality improvement, and automation.
- Stay updated on industry analytics practices and BT cloud tooling.
Required Skills:
- Basic SQL proficiency (SELECT, JOIN, GROUP BY, filtering).
- Understanding of data structures, ETL, and analytical concepts.
- Excel data manipulation and analysis experience.
- Strong attention to detail, curiosity, and willingness to learn.
- Effective communication of findings to nontechnical audiences.
- Collaborative teamwork.
- (Desirable) Experience with BigQuery, GCP, or similar cloud platforms.
- (Desirable) QlikSense report building.
- (Desirable) Python for data analysis or automation.
- (Desirable) Familiarity with data governance, documentation, and version control (e.g., Git).
Required Education & Certifications:
- Relevant tertiary qualification in Data Analytics, Statistics, Computer Science, or equivalent.
- No mandatory certifications; training will be provided for BigQuery, GCP, and QlikSense as needed.