PYTHON / R DATA ANALYST - EE Only

PYTHON - DATA ANALYST

Qualifications and Experience:

• Relevant Undergraduate degree / diploma / certificate (i.e. Sciences, Statistics, Operations)
• A minimum of 2 -3 years’ experience in business analysis, operational management or a related field
• Experience in SQL
• Experience in scripting Python/R
• Advanced Excel Skills essential – e.g. Pivot tables, IF/COUNTIF/VLOOKUP statements, Chart-building, conditional formatting, sorting and handling big data files
• PowerPoint Skills – Constructing a storyline, clear & concise slides, strategic use of visuals graphics and colour
• Experience in Power Bi or QlikView (advantageous)
• Experience in React (advantageous)
• Experience defining solutions for internal and external customer networks
• Excellent verbal and written communications skills with the ability to present complex information in a clear and concise manner to a variety of audiences, including technical and non-technical individuals
• Experience in an e-commerce, start-up or tech environment (advantageous)
• Experience in tech and how to use tech solutions such as automation to improve performance
• Experience in the development of others – can lead others, delegate tasks, and develop a team if necessary

Your responsibilities will include:

• Analysing, understanding and prioritizing tasks according to core business or project objectives
• Creating reports with focus areas for business improvement
• Identifying important variables and focus areas in the business
• Analysing data to answer strategic and operational questions posed by the business
• Provide information to various stakeholders
• Collaborate with stakeholders to establish project plans while accounting for the trade-offs between operational practicality and overall performance

Daily Operations Metrics Management:

• Provide significant support to the team according to weekly goals and targeted metrics.
• Manage support tools i.e. QlikView, Branch Dashboards, Weekly reports to inform operational decisions and improvement
• Construct weekly reports for improvement and new target areas
• Use weekly targets to manage day-to-day performance and inform operations for best impact

Product reviews and complaints tracking:

• The role will interface frequently with operations teams and engage somewhat in the specifications of PaLM releases and new product features
• Furthermore, the role will cover SOP reviews and complaints management from a driver behaviour and training aspect where relevant

Process Improvement:

• Regularly review and analyse key metrics in Food delivery operations to identify root causes and formulate solutions to improve performance
• Ability to develop and set up reporting for metrics
• Managing customer, branch and driver feedback into continuous performance improvement processes
• Contribute to the design, implementation, and improvement of new and existing operation support processes & tools
• Leading small project improvement initiatives as required
• Self-improvement to innovate and to keep skills up to date