Enterprise Data Analyst: Power BI & SQL for Impact

Salary Finance

Greater London

Hybrid

GBP 60,000 - 90,000

Full time

9 hours ago
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Benefits offered by this job

25 days holiday
Hybrid working arrangements
Generous company benefits
Enhanced policies
Great career development
Volunteer days
Regular company socials

Job summary

Salary Finance is seeking a talented Enterprise Data Analyst to join our Enterprise Data Hub in a hybrid London role. You will translate business questions into trusted data products and Power BI dashboards, collaborating with engineers, analysts and stakeholders to inform decisions and enable safe growth of our loan book.

With 3+ years in data analytics, you will craft robust dashboards, optimise ETL/ELT pipelines, and present findings to executives.

Qualifications

  • 3+ years of experience in data analytics, BI, or related roles with progression from technical to strategic delivery.
  • Advanced SQL proficiency in writing, debugging, and optimizing complex queries.
  • Expertise with the Power BI ecosystem; ability to create sophisticated data models and measures (DAX).
  • Strong ability to translate vague business requests into concrete technical requirements for stakeholders.
  • Experience delivering predictive insights that drive measurable commercial value.
  • Familiarity with LLMs (e.g., Claude, Gemini) to speed up workflows and documentation.

Responsibilities

  • Collaborate with stakeholders to develop robust dashboard requirements across data literacy levels.
  • Design, build, and maintain Power BI dashboards that deliver value to the business.

Skills

SQL Mastery
Power BI & DAX Specialist
Strategic Stakeholder Management
Insight Delivery & Storytelling
LLM Literate

Tools

Power BI
DAX
SQL
Python

Job description

Salary Finance is seeking a talented Enterprise Data Analyst to join our Enterprise Data Hub in a hybrid London role. You will translate business questions into trusted data products and Power BI dashboards, collaborating with engineers, analysts and stakeholders to inform decisions and enable safe growth of our loan book.

With 3+ years in data analytics, you will craft robust dashboards, optimise ETL/ELT pipelines, and present findings to executives.

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