Data Analyst (Finance Team)

RedTech Recruitment; Cambridge; Hybrid; GBP 40,000 - 45,000; Full time

Benefits offered by this job

Discretionary profit share

Hybrid work

25 days holiday + bank holidays

Private medical insurance

Critical illness cover

Income protection

Life assurance

Holiday buy/sell scheme

Paid study leave

Job summary

RedTech Recruitment Ltd. is seeking a Data Analyst to join its Healthcare sector consultancy, turning data into insights and building Power BI dashboards.

You will work in Finance and Operations, with four days a week in Cambridge office during probation and up to half remote after probation, in a hybrid setup.

The role offers £40,000–£45,000 with discretionary profit share and a comprehensive benefits package.

Qualifications

• Minimum of a 2:1 degree or equivalent in a quantitative subject such as Computer Science, Mathematics, Statistics, Finance, Data Science or Data Analytics.
• Strong commercial experience in data analytics, turning complex datasets into useful insights and recommendations.
• Strong Power BI skills, including experience building and maintaining dashboards and reports.
• Experience cleaning, transforming and validating data to ensure accurate and reliable reporting.

Responsibilities

• Analyse business data to identify trends, investigate issues and highlight opportunities for improvement.
• Work with Finance, Operations and People teams to understand business needs and translate these into useful analytics.
• Develop and maintain Power BI dashboards and reports that support business decisions.
• Define, monitor and refine KPIs and performance measures.
• Combine data from multiple business systems, including ERP platforms and API-connected sources.
• Build reliable, scalable data models that provide a consistent foundation for reporting.
• Improve data quality, documentation and governance across reporting processes.
• Automate recurring tasks and streamline data preparation and dashboard delivery.
• Apply your analytical skills to financial and operational questions, including supporting budgeting, forecasting and scenario modelling.
• Present clear findings and recommendations to stakeholders across the business.
• Explore opportunities to use emerging technologies, including AI-driven workflows, to improve analysis and efficiency

Skills

Power BI

Data analysis

SQL

Excel

Python

VBA

Power Query

Power Pivot

Education

2:1 degree in quantitative subject

Tools

ERP platforms

APIs

Job description

A fantastic opportunity for a Data Analyst to join an established consultancy supporting the healthcare sector. Working within the Finance and Operations team, you will turn data from across the business into clear insights, build Power BI dashboards and improve reporting through automation. This role would suit someone with strong data analysis skills from a range of sectors. Previous experience analysing financial data is beneficial, although not essential.

Location: Cambridge, UK. Hybrid working with four days per week in the office during probation, normally six months. After probation, up to half of your working time can be from home, measured over a rolling two-week period.

Salary: £40,000 to £45,000 per annum + discretionary profit share bonus + benefits

Requirements for Data Analyst:

• A minimum of a 2:1 degree or equivalent in a quantitative subject such as Computer Science, Mathematics, Statistics, Finance, Data Science or Data Analytics
• Strong commercial experience in data analytics, turning complex datasets into useful insights and recommendations
• Strong Power BI skills, including experience building and maintaining dashboards and reports
• Experience cleaning, transforming and validating data to ensure accurate and reliable reporting
• Ability to understand business questions, identify relevant data and define meaningful KPIs and performance measures
• Understanding of data governance, security and privacy best practices
• Excellent communication skills, with the ability to explain findings clearly to technical and non-technical audiences
• Strong collaboration and stakeholder management skills
• Ability to document data sources, transformations and reporting methodologies, maintaining clear records of how data flows through systems
• Strong organisation, prioritisation and time management skills
• Experience in any of the following is beneficial: Python, VBA, SQL, advanced Excel, Power Query, Power Pivot, statistical analysis, data modelling or reporting automation
• Experience analysing financial data or supporting budgeting, forecasting and scenario modelling would be beneficial, although it is not essential

Responsibilities for Data Analyst:

• Analyse business data to identify trends, investigate issues and highlight opportunities for improvement
• Work with Finance, Operations and People teams to understand business needs and translate these into useful analytics
• Develop and maintain Power BI dashboards and reports that support business decisions
• Define, monitor and refine KPIs and performance measures
• Combine data from multiple business systems, including ERP platforms and API-connected sources
• Build reliable, scalable data models that provide a consistent foundation for reporting
• Improve data quality, documentation and governance across reporting processes
• Automate recurring tasks and streamline data preparation and dashboard delivery
• Apply your analytical skills to financial and operational questions, including supporting budgeting, forecasting and scenario modelling
• Present clear findings and recommendations to stakeholders across the business
• Explore opportunities to use emerging technologies, including AI-driven workflows, to improve analysis and efficiency

What the role offers:

• A varied Data Analyst role with the opportunity to apply your skills across business functions and influence decision-making
• The chance to develop your skills across Power BI, data modelling and automation, supported by funded external training and paid study leave
• A comprehensive benefits package including discretionary profit share bonuses, flexible working hours, 25 days’ holiday plus bank holidays, a holiday buy and sell scheme, private medical insurance, critical illness cover, income protection and life assurance

We are an equal opportunity employer and value diversity at RedTech. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.