Level 7 -
Help clients (either internally or externally) to make strategic, tactical and operational decisions.
Reference: OCC0884
Status:
SOC 2020 sub unit groups:
Dept for Business Energy and Industrial Strategy (BEIS), Atkins Global, Royal Bank of Scotland, London Ambulance Service, BT, Defence Science and Technology Laboratory, Saker Solutions, HSBC, Optrak, Operational Research Society – Education Committee
This occupation is found in organisations of all sizes, including businesses across all industry sectors, government and other public sector bodies. These sectors include but are not limited to: Engineering, Government, Banking, Health, Telecommunications, Defence, Management Consulting, Transport, and Education. The broad purpose of the occupation is to help clients (either internally or externally) to make strategic, tactical and operational decisions by using advanced analytical methods to understand and solve complex non-routine problems. The benefits of Operational Research include a wide range of performance improvements such as reducing costs, increasing revenue, saving lives, raising levels of customer service and designing public policy.
Operational Research Specialists work with their clients and other interested parties to provide an end to end service from diagnosing and analysing a problem to making recommendations for change and supporting implementation.
Typically, Operational Research Specialists will structure complex non-routine problems and formulate specific research questions. They will address these questions by evaluating and implementing approaches from the range of existing models, methods and techniques, developing and adapting these methods and adopting methods from other fields where existing approaches are insufficient. In their daily work, an employee in this occupation interacts with their team, operational and policy experts and managers in the systems and processes they are analysing. They also interact with senior stakeholders (where relevant) and other specialists such as economists, data scientists, social scientists, management and financial accountants and data and information providers. In addition, they will interact with groups and organisations such as communities of practice, local and central governments, businesses, regulators, academics, researchers and non-technical audiences, both nationally and internationally.
An Operational Research Specialist will work independently or collaboratively as required, reporting to internal or external clients at almost any level of an organisation. A typical day may include overseeing and conducting analysis, meeting clients, managing projects, leading teams and commissioning work from others. An employee in this occupation will be responsible for understanding and resolving a complex non-routine problem to meet their clients’ requirements. The Operational Research Specialist has a high degree of autonomy and accountability for their work. They are unlikely to have detailed subject matter expertise. Therefore, they will collaborate with specialists and experts to understand the organisation, its systems and processes. Following this, they will select appropriate Operational Research method(s), identify & obtain data, carry out rigorous analysis, quality assuring their & others’ work. A key part of their role is communicating their impartial, pragmatic analysis and recommendations with impact, together with its limitations and associated risks. In some cases, they will support the implementation of their recommendations and monitor their effectiveness.
An Operational Research Specialist will plan and manage their projects and may also commission research, manage budgets, supervise staff and contractors, and identify opportunities where Operational Research can help.
Dept for Business Energy and Industrial Strategy (BEIS), Atkins Global, Royal Bank of Scotland, London Ambulance Service, BT, Defence Science and Technology Laboratory, Saker Solutions, HSBC, Optrak, Operational Research Society – Education Committee
Work with clients to understand a problem and capture their requirements; translating complex, non-routine, real-life customer and business problems into a clear structure and formulating specific questions that can be tackled through analysis of available data and modelling.
Use formal and informal methods (with their clients, subject matter experts, other interested parties) to understand the organisations’ systems and processes.
Relate their understanding of a client problem and organisational context to a set of Operational Research problem archetypes and select appropriate Operational Research methods.
Carry out analysis using a range of Operational Research methods, adapting and developing them to meet client needs whilst understanding their limitations.
Identify what data is available to help solve a problem and how to acquire it and manipulate it, applying appropriate data protection principles.
Develop and implement methods to quality assure their work and others’ analyses.
Communicate their analysis and recommendations with impact to their clients, specialist and non-specialist audiences to help them make decisions; including the strengths and limitations of the analysis and underlying data.
Manage operational research projects, budgets and staff.
Develop professional capability by tracking developments in the field of Operational Research and improve their managerial, networking and leadership skills.
Identify new opportunities for applying Operational Research techniques for their organisation or clients and disseminate and share best practice inside and outside of their organisation.
This occupational progression map shows technical occupations that have transferable knowledge and skills.
In this map, the focused occupation is highlighted in yellow. The arrows indicate where transferable knowledge and skills exist between two occupations. This map shows some of the strongest progression links between the focused occupation and other occupations.
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Progression decisions have been reached by comparing the knowledge and skills statements between occupational standards, combined with individualised learner movement data.
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