Key skills
Amazon QuickSightAmazon RedshiftSQLAWS ecosystemRevenue AccountingCustomer-facing rolesdbtERP systemsAWS certificationsData governanceSaaS backgroundProblem-solving mindsetData EngineeringAnalyticsBIBusiness IntelligenceRedshiftAWSLambdaS3IAMGlueAthenaPerformance OptimizationSaaSSalesforceERPSAPCommunication
About this role
Talenzaa is seeking a Business Intelligence Engineer with extensive experience in data engineering and analytics. The role requires expertise in Amazon QuickSight and Redshift, as well as strong SQL skills, to deliver effective business intelligence solutions and influence senior stakeholders.
Responsibilities:
- 10+ years of experience in a data engineering, BI engineering, or analytics engineering role
- Expert-level proficiency in Amazon QuickSight — dashboards, SPICE, calculated fields, RLS, themes, and embedded analytics
- Expert-level proficiency in Amazon Redshift — data modeling, performance tuning, Redshift Spectrum, and RA3 architecture
- Strong SQL skills — window functions, CTEs, complex joins, and performance optimization
- Solid hands-on experience with the broader AWS ecosystem (S3, Glue, Lambda, Athena, IAM, etc.)
- Strong domain expertise in Revenue Accounting — working knowledge of ASC 606/IFRS 15, revenue recognition workflows, and finance reporting
- Proven track record in customer-facing or client-delivery roles — comfortable presenting to and influencing senior business and finance stakeholders
- Exceptional verbal and written communication skills — able to tailor messaging to both technical and non-technical audiences
- Strong problem-solving mindset with a bias for action and ownership
Requirements:
- 10+ years of experience in a data engineering, BI engineering, or analytics engineering role
- Expert-level proficiency in Amazon QuickSight — dashboards, SPICE, calculated fields, RLS, themes, and embedded analytics
- Expert-level proficiency in Amazon Redshift — data modeling, performance tuning, Redshift Spectrum, and RA3 architecture
- Strong SQL skills — window functions, CTEs, complex joins, and performance optimization
- Solid hands-on experience with the broader AWS ecosystem (S3, Glue, Lambda, Athena, IAM, etc.)
- Strong domain expertise in Revenue Accounting — working knowledge of ASC 606/IFRS 15, revenue recognition workflows, and finance reporting
- Proven track record in customer-facing or client-delivery roles — comfortable presenting to and influencing senior business and finance stakeholders
- Exceptional verbal and written communication skills — able to tailor messaging to both technical and non-technical audiences
- Strong problem-solving mindset with a bias for action and ownership
- Experience with dbt (data build tool) for data transformation and modeling
- Familiarity with ERP systems such as Salesforce & SAP in the context of revenue data flows
- AWS certifications (e.g., AWS Certified Data Analytics – Specialty, Solutions Architect)
- Experience with QuickSight Embedded Analytics and SDK integration
- Exposure to data governance frameworks and tools (e.g., AWS Lake Formation, Collibra)
- Background in SaaS, FinTech, or subscription-based business models