Data Analyst - Graduate

Free-Work UK; Nottingham; Hybrid; GBP 25,000 - 35,000; Full time

Job summary

A dynamic school travel company is seeking a motivated Data Analyst to support commercial initiatives by managing business data. This entry-level role offers the chance to gain valuable experience in a fast-paced environment. The ideal candidate will have strong analytical skills, a passion for data, and the ability to communicate insights effectively.

Benefits

Private health care

Bonus scheme

Generous annual leave allowance

Contributory pension scheme

Flexible working environment

Qualifications

• Up to 2 years of experience in a data analyst or similar role.
• Strong attention to detail and a methodical approach.

Responsibilities

• Maintain the integrity of business data and perform regular audits.
• Produce reports and improve existing reporting systems.
• Apply statistical methods and machine learning techniques.

Skills

SQL

Power BI

Analytical Skills

Communication

Problem Solving

Education

Degree in a relevant field

Job description

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Job Title: Data Analyst

Reporting to: Commercial and Business Development Manager

Salary: Competitive salary, private health care, and bonus scheme

Location: Nottingham with flexible hybrid working

Job Type: Full-Time, Permanent

We are seeking a motivated and detail-oriented Data Analyst to join our team in Nottingham. This entry-level/graduate role offers an exciting opportunity to gain experience managing business data in a dynamic, fast-paced school travel company. You will be supporting key commercial initiatives by maintaining datasets and building reports, working towards implementation of a data warehouse. This role is ideal for someone looking to build a career in data analysis, commercial growth or the travel industry.

As a Data Analyst, You Will

Be responsible for maintaining the integrity of the business data landscape to a high level. This will include arranging and undertaking regular data audits and data cleansing.

Support all business functions in delivering insights and recommendations to make informed business decisions.

Produce reports and improve existing reporting systems to improve effectiveness.

Apply statistical methods, machine learning techniques, and other analytical tools to explore datasets and identify patterns, trends, and relationships.

Work closely with the Commercial and Business Development Manager and other departments to understand business needs and contribute to ongoing projects.

Assist with documenting analysis processes and identifying areas where data workflows can be optimised.

Develop and maintain dashboards to enable teams to make better decisions.

Skills & Experience

SQL & Power BI languages (DAX & Power Query)

Strong analytical and data administration skills

A passion for data and problem-solving.

Strong attention to detail and a methodical approach.

An eagerness to learn new tools and techniques.

Strong communication skills and the ability to work effectively in a team

Understanding statistical concepts, methods, and software to analyse data effectively

Experience working with large datasets and optimising reports for performance

Ideally, up to 2 years of experience in a data analyst or similar role, preferably in the travel, tourism, or education sector.

Ability to communicate complex data insights clearly to both technical and non-technical stakeholders.

A proactive and can-do attitude with a passion for learning and development.

Strong written and spoken English, with an ability to write clear, concise reports.

A team player who is adaptable, collaborative, and eager to contribute to projects and company goals.

In Return, We Will Offer

A bespoke learning and development programme to help you grow in your career.

A flexible working environment to promote work-life balance.

The opportunity to work in a fast-growing, dynamic sector.

Generous annual leave allowance and employee benefits.

Contributory pension scheme.

How To Apply

Please submit a copy of your CV and a covering letter explaining why you would be a suitable candidate for this role. We're excited to hear how your skills, experience, and passion for data can contribute to our commercial success.

Please click the APPLY button to send your CV and Cover Letter for this role.

Candidates with the experience or relevant job titles of; Data analysis, Data science, Data Engineer, Business Intelligence Analyst, Analytics Manager, Data architect, will also be considered for this role.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Human Resources Services

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