Business Intelligence Engineer - Same Day, EU Same Day Speed Innovation
The Same Day Speed Innovation team is at the forefront of business growth and innovation in the EU. We're revolutionizing the customer experience through faster delivery times and innovative fulfillment solutions. Our team sits at the crucial intersection of technology and operations, driving improvements across the entire Same Day delivery network. We're seeking a senior technical product leader capable of defining and driving product vision while navigating ambiguous problem spaces to enhance our Same Day capabilities.
Position Overview :
In this role, you will be responsible for solving complex and ambiguous data and metric problems. You will utilize the latest AWS Data Analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker) to provide business metrics for senior leaders. You should have a proven track record of end-to-end ownership and successfully delivering results in a fast-paced, dynamic environment with minimal supervision. You will work on complex initiatives, often dealing with ambiguity, and collaborate with senior leaders, product managers, DEX, finance, operations, program managers, and other data teams.
Key Job Responsibilities
* Be highly data-driven, resourceful, customer-obsessed, and team-oriented.
* Utilize the latest AWS data analytics and GenAI tools (such as Quicksight, Amazon Q, Sagemaker).
* Design, develop, and implement scalable, automated processes for data extraction, processing, and evaluation.
* Define data-driven approaches and metrics strategies to uncover new insights.
* Sourcing, manipulating, and visualizing data to tell compelling business stories.
* Communicate strategic findings and recommendations clearly.
* Translate complex technical concepts into business language and vice versa.
* Collaborate with engineering and data teams to develop tools and dashboards.
* Experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
* Experience with data visualization tools like Tableau, Quicksight, or similar.
* Proficiency with industry analytics visualization tools (Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (t-test, Chi-squared).
* Experience with scripting languages (e.g., Python, Java, R).
* Proficiency in SQL.
* Master's degree or an advanced technical degree.
* Knowledge of data modeling and pipeline design.
* Experience with statistical analysis and correlation analysis.
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