Data Insight Analyst - 12-Month FTC, Hybrid

Bupa

Ledston

Hybrid

GBP 30,000 - 37,000

Full time

7 days ago
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Benefits offered by this job

25 days holiday pro rata to contract
Flexible working
Wellbeing programme

Job summary

Bupa is seeking a Data Insight Associate for a 12-month FTC in the UK. The role involves building data assets, dashboards and analytics across Care Services and Richmond, using modern cloud-based data platforms.

You will collaborate with stakeholders to deliver insights that drive resident outcomes and KPIs. The position offers hybrid working with 3 days at home and 2 days in Leeds, Salford Quays or Staines offices, with occasional site visits to care homes.

Qualifications

  • Experience with SQL and relational data structures.
  • Some exposure to Python for data manipulation or analysis.
  • Experience with reporting/visualisation tools such as Power BI.
  • Understanding of cloud-based data environments (e.g., Snowflake, Microsoft Fabric).

Responsibilities

  • Build and maintain data assets and reporting views.
  • Create dashboards and visualisations to support business decisions.
  • Produce performance, operational and clinical KPI reporting.
  • Work with data from multiple sources across Care Services and Richmond.
  • Support analytics projects using modern data platforms and tools.
  • Collaborate with stakeholders to understand reporting requirements and data needs.

Skills

SQL
Python
Power BI
Data visualization
Snowflake
Microsoft Fabric

Education

Data Analytics qualification

Tools

Snowflake
Microsoft Fabric

Job description

Bupa is seeking a Data Insight Associate for a 12-month FTC in the UK. The role involves building data assets, dashboards and analytics across Care Services and Richmond, using modern cloud-based data platforms.

You will collaborate with stakeholders to deliver insights that drive resident outcomes and KPIs. The position offers hybrid working with 3 days at home and 2 days in Leeds, Salford Quays or Staines offices, with occasional site visits to care homes.

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