Business Intelligence Engineer, DaS FinTech

Key job responsibilities

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

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

Preferred Qualifications

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