|
Must-Have Skills
Data Analytics & Engineering
- 5+ years of experience in data analytics, data engineering, data science, or related technology roles.
- Strong experience working with large datasets and complex data analysis.
- Experience designing and maintaining data pipelines, data integration processes, and reporting solutions.
- Solid understanding of data modeling, data transformation, and data quality management.
- Experience working with structured and unstructured data sources.
Programming & Solution Development
- Strong programming skills in one or more modern languages such as Python, Java, or similar.
- Experience developing scalable applications, automation solutions, or data-driven platforms.
- Familiarity with modern software development practices and source control tools.
Analytics, AI & Machine Learning
- Experience applying machine learning, statistical analysis, or predictive analytics to business problems.
- Understanding of model development, validation, deployment, and monitoring processes.
- Exposure to natural language processing, generative AI, or advanced analytics techniques.
- Experience translating data into actionable business insights.
Cloud & Platform Technologies
- Experience working with public cloud platforms and cloud-native services.
- Familiarity with infrastructure automation, containerization, and CI/CD practices.
- Experience supporting data, analytics, or AI workloads in cloud environments.
Reporting & Visualization
- Experience developing dashboards, reports, and business intelligence solutions.
- Ability to communicate technical findings to business audiences through visualizations and presentations.
- Experience defining and measuring operational or business performance metrics.
Business & Stakeholder Engagement
- Experience working with cross-functional teams and business stakeholders.
- Ability to gather requirements and translate them into practical technology solutions.
- Experience managing workstreams, coordinating deliverables, and driving outcomes.
- Strong written and verbal communication skills.
Good-to-Have Skills
Enterprise Platforms
- Experience working with enterprise applications and large-scale business systems.
- Exposure to ERP platforms, enterprise data integration, or operational reporting environments.
- Knowledge of enterprise monitoring, automation, or compliance processes.
- SAP data integration, reporting, automation, or analytics experience.
Advanced Analytics
- Experience with model explainability techniques.
- Knowledge of statistical experimentation and analytical methodologies.
- Exposure to retrieval-augmented generation (RAG), vector databases, or knowledge-based AI solutions.
- Experience with streaming, near real-time, or event-driven analytics architectures.
Financial & Operational Analytics
- Experience in reconciliation, controls, risk analysis, or operational reporting environments.
- Exposure to finance, banking, healthcare, manufacturing, or other large enterprise domains.
- Experience identifying and managing data quality issues, exceptions, and operational risks.
Automation & Process Optimization
- Experience with workflow automation, robotic process automation, or related technologies.
- Experience improving business processes through automation and analytics.
- Exposure to orchestration platforms and enterprise automation frameworks.
Leadership
- Experience mentoring team members and supporting technical delivery.
- Exposure to project leadership, stakeholder management, and global team collaboration.
|
