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Quant Associate Director – Public Sector – Inform Government decision-making

Manchester / Hybrid working - £Excellent + Benefits

Keen to catapult your career by joining a leading industry name? This agency has agreat and diverse culture, full of enthusiastic people from a range of backgrounds that bring fresh perspectives and skills. They continually invest in their employees in terms of training and advancement opportunities, ensuring your career keeps moving forwards in line with your ambitions.

This is an exciting opportunity to manage high profile studies which influence and inform Government decision-making.

Working in a mixed methods team, you’ll have the opportunity to work with clients from across the public and third sector. The position will have a predominantly quantitative focus supporting a range of surveys. Recent studies have included the evaluation of the Coronavirus Community Support Fund, public attitudes to levelling up, and people’s perceptions of the UK, both at home and abroad. Although quantitative-leaning, the role can also include qualitative research for the right candidate.

More specifically you will have the opportunity to get involved in:

• Responsibility and accountability for overall delivery of projects

• Overseeing all aspects of the project life cycle from inception to design

• Leading proposals and revenue generation

• Client management and development

• Supporting and developing junior team members

• Financial management of projects

The starting salary will reflect your experience and future potential within the role and you can be assured of an excellent benefits package and to be joining a company that has truly embraced flexible and remote working.

Resources Group’s Diversity and Equality Policy determines that we submit applicants to our clients on the basis of merit and ability, regardless of race, colour, age, disability, family responsibilities, gender, marital status, nationality, religious or political views or affiliations, sexual orientation or socio-economic background.