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Skills
A/B Testingunmatched
Amazon Simple Storage Service (S3)unmatched
Amazon Web Services (AWS)unmatched
Analysis Skillsunmatched
Big Dataunmatched
Business Intelligenceunmatched
Business Skillsunmatched
Business Supportunmatched
Computer Scienceunmatched
Cross-Functionalunmatched
Data Analysisunmatched
Data Managementunmatched
Data Modelingunmatched
Data Processingunmatched
Data Qualityunmatched
Data Setsunmatched
Data Warehousingunmatched
Database Extract Transform and Load (ETL)unmatched
Leadershipunmatched
Multiplatform/Cross-Platformunmatched
Performance Metricsunmatched
Power BIunmatched
Predictive Modelingunmatched
Problem Solving Skillsunmatched
Process Improvementunmatched
Project/Program Managementunmatched
Python Programming/Scripting Languageunmatched
Reporting Dashboardsunmatched
Risk Managementunmatched
SQL (Structured Query Language)unmatched
Salesunmatched
Scalable System Developmentunmatched
Statisticsunmatched
Tableauunmatched
Trend Analysisunmatched
Description
We are looking for a skilled Business Intelligence Engineer with expertise in data analytics, ETL development, and dashboard reporting to support strategic business decisions.
MUST haves: Stakeholder Management, Program Management, Risk Management, Reporting and Communication, Querying AWS data bases or other DBs to get the information for reporting accurately
Key Responsibilities:
Design, develop, and maintain scalable ETL/data pipelines using SQL, Python, AWS, and big data technologies.
Analyze large-scale datasets to identify trends, business insights, and root causes.
Build automated dashboards and reports using tools like Amazon QuickSight, Tableau, or Power BI.
Develop data models, KPIs, and reporting frameworks for leadership and cross-functional teams.
Ensure data quality, validation, and governance across multiple systems and platforms.
Collaborate with Product, Operations, Sales, and Engineering teams to deliver data-driven solutions.
Optimize reporting processes and automate manual workflows for operational efficiency.
Required Skills:
Strong experience in SQL, Python, and data warehousing technologies.
Hands-on experience with AWS services such as Redshift, S3, Athena, Glue, and QuickSight.
Knowledge of ETL pipelines, data modeling, and large-scale data processing.
Experience with BI visualization tools and executive reporting.
Strong analytical, problem-solving, and stakeholder management skills.
Preferred Qualifications:
Experience working with large datasets (billions of records).
Understanding of statistical analysis, A/B testing, and predictive modeling.
Bachelor’s degree in Business, Analytics, Computer Science, or related field.
Since 1996, RJT has provided successful SAP, Oracle, and IT consulting solutions and staffing services to clients around the world. The new Apolis brings you the same personalized service fortified with a greater array of IT solutions, global expertise, and cost-management strategies.
We are a global IT consultancy that seamlessly integrates experts and leading-edge solutions into your organization so you can focus on what really matters.