Ad-Hoc Analysis & Decision Support: Perform exploratory and ad-hoc data analyses across multi-source DWCS datasets to address urgent security/operational queries and deliver actionable insights for leadership.
Data Engineering & Pipeline Maintenance: Build, maintain, and optimize batch and real-time ETL/ELT pipelines, SQL queries, and automated data refresh processes to ensure clean, reliable, and timely data feeds for BI and reporting platforms.
Collaboration: Partner with operations, engineering, cybersecurity, and governance teams to understand their data requirements and deliver ongoing analytical support.
Process Improvement & Data Integrity: Identify opportunities to automate reporting processes, establish data quality frameworks, and enhance data integrity across source systems.
Qualifications and Competencies: -
Basic Qualifications
Experience: 5–8 years of relevant experience in data analytics, business intelligence, or data engineering.
Data Analysis & Tools: Strong proficiency with data analysis and scripting tools such as SQL, Python, and Excel.
Data Engineering: Proven experience in building and optimizing ETL/ELT data pipelines, managing batch/real-time data ingestion, and writing complex SQL queries for large, multi-source datasets.
Data Visualization: Hands-on expertise with enterprise data visualization tools such as Tableau.
Core Skills: Excellent analytical, problem-solving, and written/verbal communication skills.
Preferred Qualifications
Advanced Analytics & AI (Preferred): Familiarity with statistical/predictive modeling (forecasting, regression), Generative AI (LLMs, RAG), and Agentic AI frameworks (e.g., LangGraph, CrewAI, tool-calling) to automate data reasoning and analytics workflows.
Job Family Group
Technology
Job Family
Systems & Engineering
Time Type
Full time
- Most Relevant Skills
- Please see the requirements listed above.
- Other Relevant Skills
- For complementary skills, please see above and/or contact the recruiter.
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