Rail Data Quality & Planning Associate (Flexible Hours)

Network Rail; Shrewsbury; On-site; GBP 32,000 - 46,000; Full time

Benefits offered by this job

28-day annual leave plus buy/sell

Pension schemes

Rail/Underground travel discount

Job summary

Network Rail is committed to delivering safe and efficient transport for passengers and freight across the UK. The organisation emphasizes flexible working, development opportunities, and a rewarding career path, including competitive benefits and a supportive culture for colleagues at all levels.

We strive to create an inclusive environment and recognise outstanding values and behaviours through regional initiatives, with opportunities to contribute to improvements in data, planning, and

Qualifications

• Accurately update systems, databases and records as required.
• Provide support and assistance to Section Planners and Section Administrators as required.
• Undertake checks on data quality in the delivery unit as required.
• Assist in the preparation of reports and information on data quality.
• Knowledge of relevant Company IT systems.
• Good communication and organisation skills.
• Knowledge of works planning and scheduling.
• Knowledge of maintenance delivery processes and techniques.
• Knowledge of operational railway environment.

Responsibilities

• Accurately update systems, databases and records as required.
• Provide support and assistance to Section Planners and Section Administrators as required.
• Undertake checks on data quality in the delivery unit as required.
• Assist in the preparation of reports and information on data quality.

Skills

Good communication

Organisational skills

Attention to data quality

Job description

Network Rail is committed to delivering safe and efficient transport for passengers and freight across the UK. The organisation emphasizes flexible working, development opportunities, and a rewarding career path, including competitive benefits and a supportive culture for colleagues at all levels.

We strive to create an inclusive environment and recognise outstanding values and behaviours through regional initiatives, with opportunities to contribute to improvements in data, planning, and