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Metro-based, entry-level analytics role with broad BI/SQL skills attracts many applicants.
Core SQL, BI, and ETL skills are broadly transferable across industries.
Explicit 0–2 years plus required SQL, Power BI, and Python creates moderate filtering.
Support design, development, testing, and maintenance of enterprise data pipelines, datasets, semantic models, Power BI reports, and dashboards.
Assist in ETL/ELT tasks including data extraction, transformation, loading, validation, and reconciliation.
Participate in analytics delivery lifecycle: requirements gathering, documentation, quality assurance, deployment support, and production issue resolution under senior guidance.
Bachelor’s degree in engineering, Information Systems, Data Analytics, Business Analytics, or related field.
0–2 years experience in data engineering, analytics, business intelligence, reporting, software development, or related work.
Foundational knowledge of SQL, data models, ETL/ELT concepts, and basic Power BI report development with introductory DAX.
Work Experience Required: 0–2 years relevant experience (entry-level to early career).
Has foundational technical skills in SQL, Python, Power BI, and data modeling with eagerness to build upon these under mentorship.
Comfortable working collaboratively with global teams across time zones and communicating proactively about tasks and blockers.
Able to understand and translate business requirements into well-documented data and testing tasks with attention to detail and validation.