University BI & Data Analytics Placement - Insights

Symphony; Belfast City District; On-site; GBP 30,307,000 - 44,083,000; Full time

Benefits offered by this job

Hands-on BI experience

Mentorship from BI/data professionals

Networking across divisions

Exposure to enterprise tools

Career development in analytics

Job summary

Symphony is seeking a data-driven BI & Solutions Placement Student to join our university program for 9 months starting in June 2027. You will work at the intersection of data engineering, business strategy, and product development to translate raw data into actionable insights.

You will collaborate with Sales, Product, and Engineering to build dynamic dashboards, audit data integrity, and guide key business decisions using analytics.

Qualifications

• Currently pursuing a bachelor’s or master’s degree in a related field.
• Strong SQL, advanced Excel, and exposure to Python or R.
• Analytical mindset with attention to data trends and opportunities.

Responsibilities

• Design, build, and maintain automated dashboards tracking platform usage and metrics.
• Identify data reporting inefficiencies and propose automated solutions.
• Conduct competitive analysis to explore new market opportunities.
• Collaborate with Sales, Product, and Engineering to deliver analytics insights.
• Audit data integrity and perform regular data cleaning.

Skills

SQL querying

Advanced Excel

Python/R

Analytical thinking

Communication

Education

Bachelor’s or Master’s degree in Business Analytics, Data Science, Economics, CS, or related field

Tools

Pivot tables

Excel proficiency

Exposure to Python/R

Job description

Symphony is seeking a data-driven BI & Solutions Placement Student to join our university program for 9 months starting in June 2027. You will work at the intersection of data engineering, business strategy, and product development to translate raw data into actionable insights.

You will collaborate with Sales, Product, and Engineering to build dynamic dashboards, audit data integrity, and guide key business decisions using analytics.