Strategic Data & Reporting Analyst (Hybrid)

Rolls-Royce plc; East Midlands; Hybrid; GBP 40,000 - 60,000; Full time

Job summary

Rolls-Royce plc in Derby is seeking a Data and Reporting Analyst to drive acquisition, manipulation and presentation of data within a Civil Services context. You will lead cross-functional teams to define data needs, build integrated datasets and deliver high-quality insights that support business growth.

The role involves developing data pipelines, expanding executive data sets and applying best practices to improve data delivery, cost efficiency and service quality in a hybrid working

Qualifications

• Demonstrable experience of data analysis, management and reporting to meet business needs.
• Experience with integrated data sets and data supply chains.
• Ability to translate business requirements into data and reporting solutions.
• Strong drive for continuous improvement and cross-functional collaboration.

Responsibilities

• Collaborate across Civil Services to understand data needs and deliver solutions.
• Expand and develop executive data sets for reliable, high-quality insights.
• Define, build and test optimized data supply chains using standard project methods.
• Manage data supply chains and provide ongoing technical support.
• Propose and implement novel data and reporting solutions within teams.
• continually improve tools and techniques in line with policy and practice.
• Introduce emerging technologies to enhance data delivery, quality and cost efficiency.

Skills

Data analysis

Data management

Reporting

Tools

IBM Maximo

MS Access

MS Excel (VBA)

Cognos

Oracle

SAP

Power Apps

Job description

Rolls-Royce plc in Derby is seeking a Data and Reporting Analyst to drive acquisition, manipulation and presentation of data within a Civil Services context. You will lead cross-functional teams to define data needs, build integrated datasets and deliver high-quality insights that support business growth.

The role involves developing data pipelines, expanding executive data sets and applying best practices to improve data delivery, cost efficiency and service quality in a hybrid working