A crucial member of the Commercial Team, the Insights Analyst supports clients and internal colleagues in the company’s data driven approach to field sales and operational process The Insights Analyst provides best-in-class reporting and insights to drive continuous improvements and help strategic decision making Key Responsibilities and Accountabilities: From multiple data sources, develop tangible insights, to drive improvement strategies for business decision making and continuous improvement. Work closely with other areas of Commercial Team to develop insight deep dives, so that client and Logobrand understandings are aligned, to provide effective action planning To identify areas of growth Measure the impact and drivers of ROI To ensure client outputs are accurate and timely in line with business and client expectations Develop financial and operational modelling to support data insights Attend/present at regular meetings as required Work in accordance with company policies, procedures and always demonstrate company values The above statements are intended to describe the general purpose and responsibilities assigned to this job and are not intended to represent an exhaustive list of all responsibilities, duties, and skills that may be required. The company has the right to add or change duties at any time. Experience Essential Previous experience in Data Analytics (CV) Extensive experience and proven success of analysing data, identifying key commercial insights, and converting those insights into recommendations for actions (CV, Interview) Excellent project management, communication, and problem-solving skills (CV, Interview) Highly competent in statistical methodologies (CV, Assessment) Desirable Qualified to minimum Level 4 Data Analyst, or willing to work towards (CV) Experience of working within FMCG (Field Sales experience beneficial) Skills and attributes Essential Software: Advanced knowledge of Microsoft suite of products, especially Power BI ( or Tableau), Excel (VLOOKUP, pivot tables, macros) and PowerPoint (CV) Statistical Analysis: Understanding of descriptive and inferential statistics, hypothesis testing etc (CV/Interview) Data Cleansing: Ability to identify and handle missing data, duplicates, or errors (CV/Interview) Exploratory Data Analysis (EDA): Identifying patterns, trends, and anomalies in data (CV/Interview) Visualisation Principles & Storytelling: Understanding of how to create effective charts, graphs, and reports. Ability to convey insights clearly and persuasively to non-technical audiences Commercial Acumen: Understanding the business context to align data insights with business goals (CV/Interview) Critical Thinking/Problem Solving Mindset: Ability to assess data quality and extract meaningful insights (CV/Interview) Well-organized, collaborative (CV/Interview) Ability to work under pressure and meet deadlines (Interview) Proactive (Interview) Excellent communication skills, verbal and written (CV/Interview) Excellent presentation skills: Ability to summarise and present findings to non-technical stakeholders (CV/Interview) Familiarity with data governance, privacy and regulatory compliance (CV/Interview) Demonstration of the company’s core values of Agility, Integrity, Desire, Commitment and Insight (Interview) Desirable SQL, R, Python Regression analysis Predictive modelling Time series analysis A/B hypothesis testing
