The India Center of Retail Excellence (CoRE) team is searching for a Business Intelligence Engineer who is passionate about data, uncovering insights, and telling business stories to leaders and stakeholders through metrics and visualizations.
You will inform strategy, track performance, and drive excellence. This role demands a high capacity to Learn and Be Curious as we need to be constantly adapting to changes in our business and up to speed on the latest systems, tools, and techniques for generating actionable insights from data.
In this role, you will have the opportunity to work and learn alongside talented Business Analysts, Business Intelligence Engineers, Economists, and Data Scientists.
Responsibilities include but are not limited to
Design, develop, and maintain ongoing metrics, reports, analyses, dashboards on the key drivers of our business.
Mine insights an tell compelling business analysis stories across topics such as selection, pricing, forecasting, supply chain and marketing
Partner with Economists and Data Scientists to support complex statistical analyses and productionize forecasting models
Learn new BI, Retail, and Ops systems such that you can meaningfully support process innovation using automation techniques.
Engage stakeholders in constructive dialogues to convert business problems into logic problems that can be solved with data, statistics, and scripting
Design, develop, and implement scalable, automated processes for data extraction, processing, and analysis
Successful candidates will demonstrate the following :
Have a passion for sourcing, manipulating, and visualizing data to tell business stories
Voracious appetite to Learn and Be curious
Ability to clearly communicate strategic findings and recommendations
Translate complex, technical concepts into business terms and vice versa,
Bachelor s degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
4+ years of professional experience in a business analyst / data analyst / statistical analyst role
Excellent communication (verbal and written) and interpersonal skills, and an ability to effectively communicate with both business and technical teams
Experience in data visualization platforms (e.g. Tableau, PowerBI, Quicksight)
Advanced SQL knowledge for data mining and processing
Ability to work effectively with Data Engineers to mine the right data sources efficiently and accurately
Ability to deal with ambiguity and competing objectives in a fast paced environment Master's degree in Business, Engineering, Statistics, Computer Science, Mathematics or related field
Experience with at least one statistical programming language such as SAS / R / Python
Experience using test / control methodology, and using machine learning techniques
Understanding of data warehousing and data modeling
Familiarity with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
Prior experience in Retail, and / or Supply Chain Management industry.