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Operations Strategy Analyst

Job in Southampton, Hampshire County, SO15, England, UK
Listing for: Harnham
Full Time position
Listed on 2026-02-14
Job specializations:
  • IT/Tech
    Business Systems/ Tech Analyst, Data Analyst, Data Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

This is an opportunity to join a fast‑paced organisation where data drives every operational decision. You will play a key role in improving processes across the customer and loan lifecycle, helping shape how a growing financial services business delivers efficient, customer‑centric operations.

The Company

They are a data‑led financial services provider focused on delivering a smooth and responsible customer experience. Their Operations function is evolving rapidly, and they are investing heavily in analytics, tooling, and smarter decision‑making. You will join a collaborative team that values transparency, continuous improvement, and practical insight. This is an environment where your analytical work directly influences performance and customer outcomes.

The Role
  • Analyse large datasets to uncover trends, inefficiencies, and opportunities across operational workflows.
  • Develop dashboards and reports to track key performance metrics such as processing times, service levels, staffing efficiency, and customer experience.
  • Conduct root cause analysis and present clear, actionable recommendations to non‑technical stakeholders.
  • Build predictive models for forecasting volumes, capacity planning, and workforce optimisation.
  • Partner with Data Engineering to ensure data accessibility, quality, and availability.
  • Monitor compliance and flag operational risks based on emerging patterns and anomalies.
  • Support the development and maintenance of analytical tools using SQL, Python, and BI platforms.
Your Skills and Experience
  • Strong commercial experience in data analytics within an operational or financial services setting.
  • Proficiency in SQL and either Python or R, along with experience using data visualisation tools such as Power BI, Tableau, or similar.
  • Demonstrated experience improving processes, forecasting performance, or optimising operational workflows.
  • Ability to translate complex data into simple insights for senior stakeholders.
  • Comfortable working in a fast‑paced environment with multiple priorities.
HOW TO APPLY:
  • Apply by sending your CV to Joe by the link below
#J-18808-Ljbffr
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