Business Intelligence Engineer, DaS FinTech

Amazon; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a talented Business Intelligence Engineer to join their dynamic team. This role involves developing scalable data solutions and supporting business decision-making through robust analytics. You'll work in a fast-paced environment, leveraging your analytical skills and technical expertise to transform data insights into strategic recommendations. Collaborating with various teams, you'll create automated reporting systems and maintain data infrastructure, ensuring quality and accessibility. If you're passionate about data and eager to make a significant impact in a data-driven culture, this opportunity is perfect for you.

Qualifications

• 5+ years of experience in data analysis and interpretation.
• Strong background in data visualization and statistical analysis.

Responsibilities

• Engineer automated reporting systems and dashboards for data-driven decisions.
• Analyze complex datasets to uncover trends and present actionable insights.

Skills

Analytical Skills

Data Interpretation

Project Management

Statistical Analysis

Data Visualization

Curiosity

Education

Bachelor's degree in Computer Science

Bachelor's degree in Engineering

Bachelor's degree in Mathematics

Tools

SQL

Python

Tableau

AWS Redshift

ETL Pipelines

AWS Glue

Job description

Business Intelligence Engineer, DaS FinTech

Are you a highly skilled Business Intelligence engineer and project leader? Do you think big, enjoy complexity and building solutions that scale? Are you curious to know what you could achieve in a company that pushes the boundaries of modern technology? If you answered yes and you have a background in FinTech you’ll love this role and Amazon’s data obsessed culture.

Amazon Devices and Services Fintech is the global team that designs and builds the financial planning and analysis tools for a wide variety of Amazon’s new and established organisations. From Kindle to Ring and even new and exciting companies like Kuiper (our new interstellar satellite play) this team enjoys a wide variety of complex and interesting problem spaces. They are almost like FinTech consultants embedded in Amazon.

This team is looking for high caliber and tested Business Intelligence Engineer (BIE) to enable and improve senior level business decision making. A strategic thinker who combines technical expertise with business acumen to develop and maintain scalable data solutions. You will apply both business and technical acumen in a fast-paced, ambiguous and innovative environment. Our ideal teammate possesses a natural curiosity, sharp analytical skills and is excited to pioneer on behalf of customers.

Key job responsibilities

1. Engineer robust, automated reporting systems and dashboards that facilitate data-driven decision making
2. Partner with Product and Business teams to capture requirements and deliver analytical solutions
3. Execute targeted data analyses and ensure data quality through regular audits
4. Create and maintain systems that provide customers with structured, real-time access to their data
5. Build and maintain business-critical reports across different time horizons (weekly to annual)
6. Analyze complex historical datasets to uncover trends and present actionable insights through clear communications
7. Support development teams in building analytics infrastructure for large-scale data analysis and machine learning deployment
8. Transform data insights into concrete recommendations for business strategy and product development
9. Develop key performance metrics and create business review presentations using visualization tools
10. Perform in-depth analysis using advanced SQL and Python programming
11. Design and maintain data infrastructure, including ETL pipelines and cloud-based solutions
12. Develop comprehensive documentation and training resources for self-service analytics tools

BASIC QUALIFICATIONS

1. Bachelor's degree in Computer Science, Engineering, Mathematics, or related field
2. 5+ years of analysing and interpreting data with Redshift, Oracle, NoSQL etc. experience
3. Experience with data visualisation using Tableau, Quick sight, or similar tools
4. Experience independently leading and delivering end-to-end analytics analyses and products.
5. Experience with data modeling, warehousing and building ETL pipelines
6. Experience in Statistical Analysis packages such as R, SAS and Matlab
7. Data infrastructure and automation (such as ETL data pipelines, Redshift, S3, Athena, Glue)
8. Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

PREFERRED QUALIFICATIONS

1. Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
2. Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
3. Experience with programming languages such as python, java shell scripts.
4. Experience with IBM Planning Analytics/TM1 both scripting processes and writing rules.
5. Experience in Statistical Analysis packages such as R, SAS and Matlab
6. Experience with design & delivery of formal training curriculum and programs.
7. Project management, scoping, reporting, and scheduling experience.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit this link for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.