Data Analyst (Hybrid)

Data Analyst – Worcester
Full-Time | £33,500 per year
Hours: 09:00 - 17:00, Monday to Friday
We are seeking a detail-oriented and analytical Data Analyst to join our Finance department. In this role, you will work with large datasets, uncover meaningful insights, and provide actionable recommendations to support strategic decision-making within the organisation.

Main Tasks & Responsibilities:

• Extract transactional data from online payment platforms (Shopify, Klarna, Clearpay, Layby) and analyse it against processed transactions.
• Conduct periodic sampling of credit balances.
• Develop KPIs to benchmark against past performance and enhance visibility of operational success.
• Collect, clean, and preprocess data from various sources to ensure accuracy and completeness.
• Perform exploratory data analysis to identify trends, patterns, and correlations within datasets.
• Create and maintain dashboards, reports, and visualizations to communicate key insights to stakeholders.
• Collaborate with cross-functional teams to define analytical requirements and prioritise data-driven initiatives.
• Conduct statistical analyses, hypothesis testing, and predictive modelling to uncover actionable insights.
• Identify opportunities for process improvements and efficiency gains.
• Monitor and evaluate business processes and initiatives, providing optimisation recommendations.
• Stay updated on industry trends and best practices in data analysis, visualization, and statistical techniques.

About You:
We’re looking for an enthusiastic, ambitious, and detail-focused individual with the following qualifications and experience:

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or related field (Master’s degree preferred).
• Proven experience as a Data Analyst or similar role with expertise in data manipulation, analysis, and visualization.
• Proficiency in SQL, Python, R, or other programming languages for data analysis.
• Strong analytical skills with the ability to interpret complex datasets and extract actionable insights.
• Experience using NetSuite (Oracle).
• Familiarity with data visualization tools like Tableau, Power BI, or matplotlib/seaborn.
• Excellent communication skills, capable of presenting findings to non-technical stakeholders.
• Detail-oriented with a focus on accuracy in data analysis.
• Ability to work independently and collaboratively in a fast-paced environment, managing multiple priorities effectively.

What’s in it for you?

• Competitive salary of £33,500 per year.
• 3% pension contributions from the company (with 5% contribution from yourself).
• 25 days annual leave plus additional days for long service.
• Birthday day off post-probation.
• Regular team socials and meetups.
• Monthly well-being activities.
• Tailored career progression pathways.
• Access to a comprehensive health support service.
• Professional support and mentoring opportunities.
• Twice-yearly bonus scheme.
• Employee discounts.
• Growth mentality company with opportunities to work from home two days a week post-probation.

If you’re ready to make a meaningful impact and grow your career as a Data Analyst, apply today!