Insight Analyst
Role details
Job location
Tech stack
Job description
This position is based within the Data Analytics team, part of the wider Insights and Delivery function, which is collectively responsible for providing timely insights on business health and for the development and delivery of G-Research's strategy.
Data is at the heart of our business and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm.
As an Insight Analyst , you will be at the forefront of facilitating data-driven decision making across the business, working closely with senior leadership to structure, analyse and drive outcomes for complex and strategic problems., * Leading and delivering projects to improve business performance and decision making, using a variety of analytical and modelling techniques
- Supporting the smooth running and augmentation of business operations through the provision of insight on metrics that matter
- Working with senior leadership to identify key hypotheses and assumptions, quantifying and challenging throughout
- Visualising and communicating insights in a way which resonates with both technical and non-technical audiences
- Providing technical oversight and advice on modelling and simulation projects, mentoring other members of the team
Requirements
Do you have experience in Tableau?, The ideal candidate will have the following skills and experience:
- Practical experience in a business analytics setting, preferably in a fast-paced, dynamic environment
- Demonstrable experience of owning and delivering end-to-end analytics projects; experience of modelling and simulation, such as discrete events, systems dynamics and optimisation, is highly preferential
- Strong academic credentials, including a minimum 2.1 degree or equivalent
- Strong communication and facilitation skills, with the ability to engage C-Suite stakeholders
- Ability to dissect ambiguous problems, identifying key drivers and determining the appropriate analytical techniques to apply
- High proficiency at creating end-to-end reporting solutions, including data extraction, cleaning, analysis and report building
- A good understanding of statistics and the ability to apply statistical methods to their modelling and analysis
- A willingness to evangelise best practice and mentor colleagues
- An innovative mind-set with a desire to continuously improve every aspect of how we work
- Experience with SQL, Python, Tableau or similar is highly beneficial.
Benefits & conditions
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 30 days' annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Cycle-to-work scheme
- Monthly company events
