BI Analyst: Grow with SQL & Power BI (Hybrid)

Insight Talent Partners

Manchester

Hybrid

GBP 40,000 - 55,000

Full time

8 hours ago
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Benefits offered by this job

5% quarterly bonus
Pension 4.5% matched
Private medical
Life assurance
23 days annual leave
Hybrid working
Cycle to work
Eye test allowance

Job summary

Insight Talent Partners is seeking a BI Analyst in central Manchester on a hybrid pattern (three days in the office, two from home). The role focuses on SQL, Power BI and building scalable data models in a modern analytics environment.

You will collaborate with analysts, data engineers and senior colleagues to improve reporting, governance and performance. The successful candidate will be proactive, detail‑oriented and eager to progress a long‑term career in data and analytics within a

Qualifications

  • Good SQL skills and confident writing queries.
  • Some hands-on Power BI experience.
  • Analytical mindset and strong attention to detail.
  • Willingness to learn and develop new skills.
  • Clear communication and collaborative working style.

Responsibilities

  • Improve and streamline existing SQL queries, datasets and Power BI reports.
  • Support the consolidation of business logic into reusable, governed data models.
  • Build and maintain analytical datasets and dimensional models with guidance.
  • Contribute to performance optimisation across reports, DAX and refresh processes.
  • Adopt best practices in Power BI development and data modelling.
  • Help ensure consistency and accuracy of business metrics.
  • Collaborate with technical teams to support reporting standards and governance.
  • Bring curiosity, initiative and a continuous improvement mindset.

Skills

SQL
Analytical mindset
Attention to detail
Willingness to learn
Communication

Tools

Power BI

Job description

Insight Talent Partners is seeking a BI Analyst in central Manchester on a hybrid pattern (three days in the office, two from home). The role focuses on SQL, Power BI and building scalable data models in a modern analytics environment.

You will collaborate with analysts, data engineers and senior colleagues to improve reporting, governance and performance. The successful candidate will be proactive, detail‑oriented and eager to progress a long‑term career in data and analytics within a

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