Analyst- Strategy Analytics
QuantSpark, United Kingdom
Job Description
QuantSpark is an innovative boutique strategic analytics consultancy based in London. Our hybrid team combines the best of strategy consulting, data analytics and product development to deliver creative and impactful solutions to public and private sector clients. We go beyond the remit of traditional strategy consultancies by deploying advanced data analytics and software engineering capabilities to build bespoke tools that deliver long-lasting value the tools and solutions we create become embedded in our clients’ daily operations. Our ever-growing client base consists of FTSE 100 retailers, prestigious Private Equity houses and governments.
The Role
Our Analysts are creative, entrepreneurial and intellectually curious problem-solvers. They are highly motivated to have an impact on commercial enterprises and public bodies through innovative uses of data analytics and tools. They thrive on getting stuck into problems so challenging our clients have been unable to solve them to date.
This role will require you to think through complex problems that face large organisations and develop innovative, effective and pragmatic solutions based on deep analysis of the available data. You will embark on a journey to research and understand new industries and technologies, extract and analyse data, build models, learn (and build!) new tools, deliver actionable business strategies and communicate and develop strong relationships with senior client stakeholders.
Responsibilities include:
- Help deliver strategic analytics projects for our clients through the thoughtful and creative application of the latest data analytics techniques and tools to solve problems, guided by expert strategic insight from senior colleagues
- Contribute to the end-to-end delivery of impactful analytics projects by delivering the analytical firepower needed to extract, engineer, understand and model complex datasets
- Design hypotheses to test, that are deeply grounded in the client situation and the problem we are solving for them
- Gather and process structured and unstructured data in a variety of formats (Excel, text, csv, databases, json, web scrape, etc.) and from diverse sources (propriety or open-source)
- Build quantitative models (e.g. predictive, geospatial, financial, ect) and conduct statistical analyses to test and iterate our hypotheses
- Create and present summary strategic recommendations to client stakeholders typically using Powerpoint
- Create striking data visualisations and dashboards that help communicate insights to both expert and non-expert stakeholders, ensuring our recommendations are clearly and fully understood. This could include using Powerpoint, Tableau, Power BI or bespoke dashboards you’ve built from scratch
- Help build bespoke tools and design new processes to embed the solution with our client’s day-to-day operations this could be a clever Excel model built in a few weeks, or an enterprise-level software solution developed over several months. Either way, you will be working closely with clients to change the way their business operates
Requirements
- Up to 3 years experience in an analytics role
- A Bachelor’s degree, minimum 2.1 (preferably in any of the Sciences, Mathematics, Statistics, Economics or other quantitative fields)
- A passion and determination to solve problems
- A comfort and enjoyment from working with and analysing data
- An interest in commerce and understanding businesses
- An entrepreneurial, can-do spirit with the drive to have big impact
- An ability to communicate complex problems to non-experts, in a variety of ways verbal, written, and visually
- A desire to work with and learn a range of new tools/languages, such as SQL, Python, R, Tableau and Alteryx
- An interest in product/tool development
- A desire to work both independently and in team settings
- Effective time management and organisational skills
Knowledge and/or experience in the following areas is a plus:
- Analysis, modelling and predictive modelling using Excel, SQL, R, Python, or similar tools
- Data visualisation (Tableau, PowerBI, R, etc.)
- Machine learning techniques
- Entrepreneurial background
Benefits
- Competitive salary (based on experience)
- Monthly training amp; conference budget
- 25 days holiday, plus Bank Holidays
- Pension contribution scheme
- Private Healthcare
- Cycle to work scheme
- Social impact / pro bono strategy projects
- Monthly socials and dinner
- Location: Central London (though you may have to work at clients' offices from time to time including outside of the UK)