Senior Insight Analyst

JD; Bury St Edmunds; On-site; GBP 40,000 - 80,000

Job description

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• Job Title - Senior Insight Analyst
• Location - BL9 8RR
• Working rota - Monday - Friday
• Working hours - 40 hours

Role overview:

As the Senior Insight Analyst, you will have the ability to delve into a variety of complex data and translate this into meaningful and high-impact actionable insights. You will have well-developed experience in visualising data and be skilled in using a wide range of analytical tools to build well-designed data visualisations. You will be a great communicator, who is able to see the big picture, connect data points to produce larger narratives, and present persuasively to senior business stakeholders.

Responsibilities:

1. Analysing and interpreting complex data in order to formulate relevant conclusions and recommendations for stakeholders.
2. Experience of synthesising complex and ambiguous information in order to drive actionable insight brought to life through communication and visualisation.
3. Supporting relevant stakeholders through quantitative analytics and the application of appropriate methodologies.
4. Proactively developing insight and analysis skills and understanding of the market & business.
5. Demonstrating the ability to utilise data to conclude actionable insights.
6. Strong communication and clear identification of possible actions based upon insight.
7. Working in a fast-paced and exciting function and performing deep dive analytics.
8. Working on numerous projects around loyalty, customer analytics, segmentations, CRM, Data Science, marketing analytics, channel analysis, and customer acquisition.
9. Analysing and interpreting data to identify patterns and implications.
10. Preparing detailed analysis with clear high-level take-outs and presenting to senior marketing stakeholders and/or key business stakeholders.
11. Providing regular standard data-driven market intelligence information to the market insight team regarding the external business & individual landscape.

Role objectives and KPI's:

The objective of this role is to identify value and drive change throughout the business. You will need to help the organisation understand customer behaviour via depth analysis and be able to present complex data back to Senior Stakeholders in an easily digestible manner. You will act as the bridge between the data team and the business stakeholder. You should emphasise and drive collaboration on projects from end to end. Your role is focused on accentuating action derived from the insight rather than just learning from data.

Competencies:

1. Working With People: Working with Stakeholders is key in the role. You will demonstrate a clear interest in understanding the issues that business units are facing. You need to have an adaptable approach to harness the best possible outcomes.
2. Relating and Networking: You will need to develop and establish relationships within the business so that insights are adapted due to the trust built. You will need to communicate at all levels from executive to Director and understand the differing approaches required.
3. Presenting and Communicating Information: You will need to be a clear and concise communicator, who speaks with passion on the topics being demonstrated. You will have the ability to present data in a visually engaging manner that sparks discourse.
4. Analysing: You will need to understand the data from end to end and explain the underlying logic that has led to the outcomes. You will need to demonstrate that you have understood wider constraints and the best way forward.
5. Learning and Researching: You will need to take a proactive approach to the role and tasks that need undertaking. Presenting proposals on what you see as important to undertake deep dives in the business.

Skills and Experience:

• Preferably an undergraduate degree in a numerical subject.
• 3-5 years' experience in advanced analytics and insight.
• Experience working in a fast-paced, high-growth, consumer-facing business.
• Strong knowledge of omni-channel and multi-device engagement across digital channels.
• Ability to drive actionable insight from a myriad of data sources.
• Commercial experience using Advanced SQL is essential; any experience in R or Python would be a distinct advantage.
• Advanced Excel skills and some VBA experience.
• Advanced Power BI using DAX / developer essential.
• Web analytics experience in Google Analytics or equivalent tools.
• Ability to work independently under pressure and to tight deadlines with excellent attention to detail.