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Senior Business Intelligence Analyst

2 months ago


Bury, Borough of Bury, United Kingdom JD Group Full time
Senior Insight Analyst Role Overview

As a Senior Insight Analyst at JD Group, you will have the opportunity to delve into complex data and translate it into meaningful, high-impact insights. You will work with a wide range of analytical tools to build well-designed data visualizations and present your findings to senior business stakeholders.

Key Responsibilities
  • Analyzing and interpreting complex data to formulate relevant conclusions and recommendations for stakeholders.
  • Developing and synthesizing complex information to drive actionable insights.
  • Supporting stakeholders through quantitative analytics and applying appropriate tools and techniques.
  • Proactively developing insight and analysis skills and understanding of the market and business.
  • Demonstrating the ability to utilize data to conclude actionable insights.
  • Communicating complex data insights clearly and effectively to senior stakeholders.
  • Working on numerous projects around loyalty, customer analytics, segmentations, CRM, data science, marketing analytics, channel analysis, and customer acquisition.
  • Preparing detailed analysis with clear high-level take-outs and presenting to senior marketing stakeholders and/or key business stakeholders.
  • Providing regular standard data-driven market intelligence information to the market insight team regarding the external business and individual landscape.
Role Objectives and KPIs

The objective of this role is to identify value and drive change throughout the business. You will need to help the organization understand customer behavior via depth analysis and 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 stakeholders, emphasizing and driving collaboration on projects from end to end.

Competencies
  • Working with Stakeholders: You will demonstrate a clear interest in understanding the issues that business units are facing and have an adaptable approach to internal and external stakeholders to harness the best possible outcomes.
  • Relating and Networking: You will develop and establish relationships within the business to ensure that insights are adapted due to the trust built, and communicate at all levels from executive to director.
  • Presenting and Communicating Information: You will be a clear and concise communicator who speaks with passion on the topics being demonstrated and presents data in a visually engaging manner that sparks discourse.
  • Analyzing: You will understand the data from end to end and explain the underlying logic that has led to the outcomes, demonstrating that you have understood wider constraints and the best way forward.
  • Learning and Researching: You will take a proactive approach to the role and tasks, 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 multi-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, and 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 an excellent attention to detail.
Training Requirements

To enhance supervision, leading, and management skills, it is desirable to undertake the MDP/LDP course provided by JD people to develop holistic management skills in line with the expectations and framework of the wider organization.

  • Training in Azure and Oracle.
  • Training on our data landscape (Mesh, Shogun, Charged sales, IIB, Aurora, PIM, etc.).
  • Presentation and communication skills required to present insights to non-technical and technical audiences.
  • Training in PBI.
  • Training on company policies, ethics, data security.