Data Analyst

Responsibilities:

• Design, develop, and maintain scalable data pipelines using Python, Dagster, and modern orchestration frameworks.
• Build and support data architectures that enable analytics, reporting, and business intelligence solutions.
• Develop ETL/ELT processes to integrate data from multiple internal systems into a centralized data environment.
• Optimize data models for performance, reliability, and scalability.
• Support cloud data platform migration initiatives, including pipeline transitions and validation activities.
• Collaborate with the broader Data Engineering team to define and uphold best practices.
• Design and implement advanced Power BI dashboards and reports, emphasizing performance and user experience.
• Build solutions using the Power Platform (Power Apps, Power Automate) to support self‑service analytics and workflow automation.
• Analyze complex datasets to uncover insights and inform strategic decision‑
• Ask critical questions, challenge assumptions, and offer data‑driven recommendations.
• Translate ambiguous business needs into actionable analytical solutions.
• Present insights to stakeholders using compelling visualizations and clear storytelling.
• Partner with multiple business functions across the organization to understand data needs and deliver solutions.
• Independently facilitate stakeholder meetings to gather requirements, present updates, and document outcomes.
• Mentor team members on technical concepts, tools, and best practices.
• Lead technical deep dives and internal training sessions.
• Participate in regular team ceremonies and cross‑functional meetings.
• Collaborate on code reviews, troubleshooting, and solution design.
• Track all work in project management tools (e.g., JIRA) with clear task updates and status reporting.
• Thoroughly document code, pipelines, reports, and processes for continuity.
• Maintain version control using GitHub with proper branching and collaboration practices.
• Proactively communicate progress, risks, and blockers while delivering projects on schedule.
• Contribute to runbooks, knowledge base articles, and technical documentation.

Required Qualifications

• 5+ years of experience in data engineering, business intelligence, or analytics.
• Expert SQL skills (complex queries, window functions, CTEs, performance tuning, stored procedures).
• Strong Python programming experience for data engineering and automation.
• Experience with modern orchestration tools (Dagster preferred; Airflow, Prefect, etc. acceptable).
• Cloud platform experience (e.g., AWS S3, Redshift, or similar cloud data architectures).
• Advanced Power BI development with strong DAX and data modeling capabilities.
• Proficiency with GitHub for version control and code collaboration.
• End‑to‑end pipeline development across multiple source systems.
• Deep understanding of data warehousing principles, dimensional modeling, and ETL/ELT patterns.

Impellam Group and its brands are equal-opportunity employers committed to diversity and inclusion. All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, pregnancy or maternity, national origin, age, disability, veteran status, or any other factor determined to be unlawful under applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application, interview process, pre-employment activity, and the performance of crucial job functions.

If you require additional disability considerations, modifications, or adjustments please let us know by contacting HR-InfoImpellamNA@impellam.com or fill out this form to request accommodations.