Data Analyst

New Today

Data Analyst

Location: Head Office, Birmingham

Working Hours: Hybrid working in the office 3 days per week

Salary: Competitive + Benefits

About Us

Join 2 Sisters Food Group, one of the UK's largest food manufacturers, with an annual turnover exceeding £3 billion and approximately 13,000 employees across 16 sites. We have a strong presence in poultry, chilled, and bakery food categories. We are committed to delivering high-quality products to the British public and our retail and food service customers, including major retailers like Aldi, Asda, Co-op, KFC, Lidl, Marks & Spencer, Morrison's, Sainsbury's, Tesco, and Waitrose.

About the Role

We're looking for a Data Analyst to join our Meals Division, supporting HR, commercial, finance, and operational teams across the business. This is a fantastic opportunity to take ownership of divisional reporting and analytics, helping drive performance through data-led insight.

You'll work with a wide range of data sets, analysing performance across sales, margin, cost control, forecasting, and operational KPIs. The role will play a key part in delivering accurate, timely insights to support strategic decision-making and continuous improvement across all departments within the Meals division.

Key Responsibilities

About You

We're looking for someone with strong analytical capability, a passion for turning data into actionable insight, and a collaborative mindset. You'll be confident working with complex data sets and presenting clear, commercially focused outputs to stakeholders across multiple functions.

You'll be comfortable operating in a fast-paced environment and able to translate numbers into meaningful business recommendations.

Key Skills & Experience

Benefits

Why Join Us?

As one of the UK's largest food manufacturers, we provide ample opportunities for career growth and skill development. We emphasise promoting from within, ensuring you can build a rewarding career with us.

#headoffice

Location:
Birmingham (Aston)
Job Type:
FullTime

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