This role can be based in alternative locations across EMEA.

We are seeking an innovative and data-driven Business Intelligence Developer to drive critical product decisions and strategy through advanced analytics. In this role, you will partner with cross-functional teams to build scalable data solutions, uncover insights, and provide actionable recommendations that improve our products, operations, and customer experience. You will leverage your exceptional analytical abilities, expertise in business intelligence tools, and passion for data-driven decision-making to drive business impact.

Key job responsibilities
•Architect and develop scalable and resilient data solutions.
•Build ETL pipelines and models using large, multidimensional datasets to uncover trends, patterns, and opportunities.
•Collaborate with product managers, engineers, data scientists, and business stakeholders to understand strategies, goals, and objectives, and align the analytics roadmap accordingly.
•Design and implement end-to-end reporting solutions, metrics, dashboards, and automated processes to drive key business decisions and track progress.
•Continuously improve reporting and processes, automating and scaling solutions while ensuring stability and performance.
•Identify opportunities for new metrics, techniques, and strategies to enhance targeting, measurement, and overall product capabilities.
•Stay up-to-date with industry trends and best practices, contributing to the team's evolution through code reviews, design discussions, and knowledge sharing.


About the team
The Sales Insights, Analytics, Data Engineering & Science team (SIADS) is responsible for building the platform and content used by the AWS Global Sales organization for insights consumption.

BASIC QUALIFICATIONS

- Experience in data engineering, business intelligence, and analytics, with expertise in BI tools and technologies such as Tableau, Power BI, or similar.
- Highly Proficient in SQL.
- Excellent analytical and problem-solving skills, with the ability to derive insights from complex datasets.
- Strong communication and stakeholder management skills, with the ability to present technical information clearly to non-technical audiences.
- Passion for data-driven decision-making and a desire to innovate and drive business impact.
- Strong knowledge of Database and Data Warehousing concepts

PREFERRED QUALIFICATIONS

- Experience working with AWS (Redshift, Lambda, Step Functions, S3, Glue)