Commercial Analytics Intern

About noon Were building an ecosystem of digital products and services that power everyday life across the Middle Eastfast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and were looking for a Commercial Analytics Intern who can help us move even faster. Noons fastest hyper-local delivery platform, Noon Minutes, offers a localized assortment of FMCG & grocery products with delivery within 15-minutes. Currently live across the UAE and Saudi Arabia, offering thousands of products to customers in record time. noons mission: Every door, every day. What you'll do: Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward. The Commercial Analytics team at noon Minutes supports commercial decision-making through data analysis, reporting, dashboarding, automation and stakeholder coordination. We are looking for a Commercial Analytics Intern who can support the team in managing internal data requirements, maintaining recurring reports and analytical workflows, coordinating with internal and external stakeholders, and identifying opportunities to automate manual processes. This role is suitable for a recent graduate or final-year student who is interested in analytics, business operations, automation and stakeholder management. The intern will work closely with the Commercial Analytics team and gain hands-on exposure to real-world commercial and operational problems. Data and Analytics Support Support the Commercial Analytics team with internal data requests and recurring analytical requirements.Write and maintain SQL queries for data extraction, validation and analysis.Prepare, update and maintain dashboards, reports and trackers.Work with Google Looker Studio or similar business intelligence tools.Perform data validation and ensure accuracy and consistency across reports.Assist in analysing commercial performance, vendor performance, pricing, sales, inventory and campaign-related data.Convert business requirements into structured analytical outputs. Automation and Process Improvement Identify repetitive and manual tasks that can be automated.Use Python, Google Apps Script, SQL or other relevant tools to automate workflows.Explore the use of artificial intelligence tools to improve productivity, reporting and operational efficiency.Help standardise recurring processes, templates and reporting workflows.Document automated processes and ensure they can be maintained and reused by the team. Stakeholder and Vendor Management Coordinate with internal teams to understand data requirements and expected deliverables.Manage follow-ups and communication related to internal data requests.Support communication with external vendors and ensure requests, timelines and deliverables are tracked.Maintain structured records of pending requests, actions, dependencies and closures.Communicate updates clearly to relevant stakeholders.Help manage workflows from initial requirement gathering through execution, validation and closure. Reporting and Workflow Management Maintain recurring reports, dashboards and operational trackers.Track deadlines and ensure analytical deliverables are completed on time.Highlight data issues, blockers and risks to the reporting manager.Support ad hoc commercial projects and campaign-related analysis.Create clear documentation for reports, dashboards, queries and recurring processes. Required Skills Working knowledge of SQLFamiliarity with Google Looker Studio, Power BI, Tableau or similar BI toolsBasic to intermediate knowledge of PythonStrong Google Sheets or Microsoft Excel skillsInterest in automation and process improvementFamiliarity with artificial intelligence productivity toolsStrong analytical and problem-solving skillsGood written and verbal communicationAbility to manage multiple tasks and follow-upsStrong attention to detailAbility to work independently with appropriate guidanceWillingness to learn in a fast-paced commercial environment What you'll need: Practical application of SQL, Python and BI toolsCommercial and operational analytics in a quick-commerce environmentDashboard creation and recurring reportingBusiness process automationVendor and stakeholder managementRequirement gathering and end-to-end workflow executionHow analytics supports commercial decision-makingHow to use artificial intelligence tools to improve business productivity Who will excel Were looking for people with high standards, who understand that hard work matters.You need to be relentlessly resourceful and operate with a deep bias for action.We need people with the courage to be fiercely original.noon is not for everyone; readiness to adapt, pivot, and learn is essential. .