Merchandise Analyst at Engen March, 2024

Purpose of the Job

Provide analytics that supports & informs decision making and is aligned with the achievement of the strategic goals through creating, managing, evaluating, investigating and analyzing data queries relating to category management, optimizing data & frameworks within which the category.

Management process can effectively operate and engaging with teams and data management, stakeholders to ensure such queries are resolved.

Who you are

• You are a dynamic thinker with a high aptitude for learning
• You have built credibility within your organization and amongst your peers
• You are an expert at interpretation and execution of strategic objectives
• You are passionate about retail and selling, especially the customer experience
• You have excellent communication and negotiation skills
• You have a detailed understanding of data and why its accuracy is key
• You have a reputation for being insightful and operating with integrity
• You are able to collaborate with people outside our team within your organisation.

What you’ve done before

Baseline:

• NQF Level 6 (Diploma in Analytics/Sciences/Technology)
• 5 years’ experience in Data Analytics (within the Retail environment) 
• Knowledge of Regional Occupational Health & Safety Policy and Occupational Health
• & Safety Act.

Advantageous:

• BSc Mathematics/ Stats/ Data Science/ BI
• 3 years’ experience Advanced Analytics in a Specialist role within Food Retailing 
• Experience on Qlikview/ SQL/ Programming 
• Exciting Challenges you might face in the role
• Immerse yourself in various aspects of the organisation
• Influencing the strategic direction of Engen convenience business
• Learning from, and being able to influence some of the best and experienced people
• Operate effectively in an ever-changing, dynamic and agile business

What you’ll be doing

• Undertake multiple data sources that will deliver actionable insights and recommendations to the merchandising and category teams.
• Perform accurate data analysis in support of informed decision making within the categories and with a view to improve profits and customer satisfaction indicators across the NFR business.
• Service ad-hoc requests for information within the required timeframe and specification, with a focus on translating ad-hoc solutions into effective, sustainable solutions.
• Integrate customer insights data with assortment & space data to provide further.
• understanding on customer behaviours in order to assist & inform the category management decision making process.
• Ensure timeous and accurate production of reports through analysis of trends and interpretation, with special emphasis on customer behavior & insights and on space optimisation.
• Ensure understanding of defined data standards and clearly execute the range of acceptable values and attributes for data.
• Ensure that business requirements of the end user are properly aligned to agreed data.
• Governance standards, definitions & calculations, criteria and business processes & standards. 
• Adhere to formal established processes and take responsibility for leading and supporting the greater business data standards and efforts.
• Collaborate with other data stewards to resolve issues related to standards and definitions for data elements that cross domains.
• Collaborate with cross functional teams to assist with analytics within areas such as impact analysis (stock write-downs & reviews), capacity reports & post implementation.
• Reviews and macro analysis and returns/ performance to ensure effective decision making.
• Engage with business and IT stakeholders to focus on continuous improvement of information in terms of relevance, quality and speed of delivery. 
• Ensure data accuracy through monitoring data completeness, integrity and quality to ensure availability of correct information at all times.
• Ensure compliance to data governance through data cleansing & provision of feedback and taking ownership of data management.