Senior Data Analyst

Cameron Clarke Associates t/a talent-finder

Blackburn

Hybrid

GBP 40,000 - 50,000

Full time

2 days ago
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Benefits offered by this job

End-of-year bonus
22 days holiday
Unpaid sabbatical after 5 years
Pension
Healthcare support (eye tests)
Employee assistance programs
Training & external learning
Employee discount
Interest-free loan
Social events

Job summary

Cameron Clarke Associates t/a talent-finder in Blackburn is seeking a Senior Data Analyst to join the Data & Underwriting team, focusing on front-end analytics, dashboards and business insights. You will mentor others and help strengthen analytical capabilities to support the organisation's financial performance objectives.

The role requires leading Power BI dashboards, collaborating with stakeholders and exploring AI/ML capabilities, with hybrid work flexibility in the Blackburn area.

Qualifications

  • 5+ years of Power BI, DAX and SQL experience with a focus on dashboards and reporting.
  • Experience in Python or R (1+ year) for analysis and modelling.
  • Familiarity with statistical analysis, forecasting and data visualization best practices.

Responsibilities

  • Lead, mentor and develop junior Data Analysts.
  • Create, maintain and optimize Power BI dashboards.
  • Translate data insights into strategic business decisions.
  • Support improvements in BI reporting workflows and data governance.
  • Collaborate with stakeholders to understand analytical requirements and prioritise projects.
  • Oversee quality assurance of team outputs to align with objectives.
  • Plan workloads and delegate responsibilities across multiple projects.
  • Explore emerging technologies including AI & ML (training available).
  • Collaborate with data engineers to support ETL process improvements.

Skills

Power BI
DAX
SQL
Python
R
Forecasting
Data visualization

Tools

Power Query
M Language

Job description

Senior Data Analyst | Blackburn, UK (Hybrid with flexibility to work from home) | Full Time | £40,000 - £50,000 per year (depending on experience)

We are seeking a Senior Data Analyst to join our Data & Underwriting team in a supervisory capacity. This position is ideal for a professional passionate about front-end analytics, dashboards, and business insights, while also having a basic understanding of back-end data systems. You will have the opportunity to mentor others, strengthen the team's analytical capabilities, and support the organisation's financial performance objectives.

What's In It For You
  • End-of-year bonus scheme based on KPI performance
  • 22 days holiday plus bank holidays
  • Optional 1-month unpaid sabbatical after 5 years of service
  • Pension and healthcare support (including free eye tests and employee assistance programs)
  • Company-funded training and external learning opportunities
  • Employee discount on company products
  • Interest-free company loan up to £1,000 (after 6 months)
  • Social events, staff incentives, and clear career progression opportunities
Requirements
Essential
  • Strong Power BI, DAX, and SQL experience (5+ years) with a focus on front-end dashboards and reporting
  • Experience in Python or R (1+ year) for analysis and modelling
  • Familiarity with statistical analysis, forecasting, and data visualisation best practices
  • Excellent organisational skills and ability to manage multiple projects independently
  • Proactive, forward-thinking, and capable of translating data insights into strategic business decisions
Desirable
  • Proficiency in M Language / Power Query
  • Supervisory or team leadership experience with strong mentoring and communication skills
The Role
  • Lead, mentor, and develop junior Data Analysts, fostering collaboration, learning, and analytical excellence
  • Create, maintain, and optimise Power BI dashboards, translating complex data into clear, actionable insights
  • Analyse dashboard data and suggest critical business changes aligned with strategic goals
  • Support improvements in data collection, BI reporting workflows, and data governance standards
  • Collaborate with stakeholders to understand analytical requirements and prioritise projects
  • Oversee quality assurance of team outputs to ensure alignment with strategic objectives
  • Work with leadership to plan workloads, delegate responsibilities, and manage multiple projects efficiently
  • Explore emerging technologies, including AI & ML, to enhance analytical capabilities (training available)
  • Collaborate with data engineers to support ETL process improvements

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