Business Analyst
4 weeks ago
Job Description
Alimentation Couche-Tard is a global leader in the convenience store and fuel space, it has a footprint across 26 countries and territories. At the Circle K Business Centre in India, we are #OneTeam using the power of data analytics to drive our decisions and strengthen Circle K’s global capabilities. We make it easy for our customers all over the world – we partner with the business to empower the right decisions and deliver effectively, while rapidly unlocking value for our customers across the enterprise. Our team in India is an integral part of our talent ecosystem that helps advance us on our journey to becoming a data-centric company. The future of data analytics at Circle K is bright – and we’re only just getting started.
About the role
The India Data & Analytics Global Capability Centre (D&A GCC) is an integral part of ACT’s Global Data & Analytics Team and the Business Analyst/Sr. Analyst will be a key player on this team that will help grow analytics globally at ACT. The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units.
The incumbent will be responsible for deploying analyticsalgorithmsand tools on chosen tech stack for efficient and effective delivery. Responsibilities include delivering insights and targeted action plans, address specific areas of risk and opportunity, work cross-functionally with business and technology teams, and leverage the support of global teams for analysis and data.
Roles & Responsibilities
Business Analysis
Clean and organize largedatasetsfor analysis andvisualizationusingstatistical methods; verify and ensure accuracy, integrity, and consistency of data Identifying trends and patterns in data and using this information to drive business decisions Create the requirement artefacts e.g., Functional specification document, use cases, requirementtraceability matrix, business test cases andprocess mappingdocuments, user stories for analytics projects Build highly impactful and intuitive dashboards that bring the underlying data to life through insights Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendationsOperational Excellence
Improve data quality by using and improving tools to automatically detect issues Developanalytical solutionsor dashboards using user-centric design techniques in alignment with ACT’s protocol Study industry/organization benchmarks and design/developanalytical solutionsto monitor or improve business performance across retail, marketing, and other business areasStakeholder Management
Work with high-performing Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of visualanalyticalapplications, from development of mock-ups and storyboards to complete production ready application Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business Create compellingdocumentationor artefacts that connects business to the solutions Coordinate internally to share key learning with other teams and lead to accelerated business performanceBehavioral Skills
Delivery Excellence Business disposition Social intelligence Innovation and agilityKnowledge
Functional Analytics(Retail Analytics, Supply Chain Analytics, Marketing Analytics,Customer Analytics, etc.) Working understanding ofStatistical modellingusingAnalyticaltools (Python,PySpark, R, etc.) Enterprisereporting systems, relational (MySQL,Microsoft SQL Serveretc.), non-relational (MongoDB, DynamoDB) database management systems Business intelligence& reporting (Power BI,Tableau,Alteryx, etc.) Cloud computingservices in Azure/AWS/GCPfor analyticsEducation
Bachelor’s Degree inComputer Science,Information Managementor related technical fieldsExperience
2 – 4 years for Analyst 5 + years for Sr. Analyst Relevant working experience in a quantitative/applied analytics role Experience withprogramming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark /SQL/PythonNo locations found
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