Data Analyst Jobs

About The Position

Requirements

• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Mathematics, Statistics, or a related field, or equivalent experience.
• 1–3 years of professional experience in Power BI, SQL, and data analysis; or demonstrable equivalent through internships, coursework, or independent projects.
• Strong SQL skills, including joins, aggregations, window functions, filtering, troubleshooting, and writing queries that answer business questions accurately.
• Hands-on Power BI experience: dashboards, semantic models, DAX measures, Power Query.
• Working understanding of data modeling and report optimization concepts, including relationships, filter context, model design, refresh behavior, and report usability.
• Strong analytical and problem-solving skills.
• Clear communication skills, including the ability to manage intake, clarify requests, provide status updates, and support non-technical users.
• Attention to detail and commitment to accurate, well-documented work.

Nice To Haves

• Experience with Microsoft Fabric, Lakehouse/Warehouse concepts, or modern analytics platforms.
• Experience using Python for data analysis, automation, validation, or data quality processes.
• Familiarity with Dynamics 365 or other CRM/ERP platforms.

Responsibilities

• Develop, maintain, troubleshoot, and optimize Power BI dashboards, reports, semantic models, DAX measures, refresh behavior (including Direct Lake where applicable), and report performance.
• Clarify requirements, define metrics, and complete data requests using SQL, Power BI, and other appropriate tools. Outputs may include dashboards, datasets, queries, extracts, regular reports, or analysis summaries.
• Investigate discrepancies between source and reported data, document findings, support validation processes, and help maintain consistent business definitions and metric standards.
• Triage, prioritize, and resolve data-related support tickets; follow up with stakeholders; document resolutions; and escalate complex technical issues to the Data Engineer when needed.
• Field data questions related to Power BI, Dynamics 365 Customer Engagement, Dynamics 365 Finance & Operations, and other business systems, primarily working from curated reporting datasets rather than raw source data.
• Document report logic, SQL queries, metric definitions, dependencies, and recurring support processes in the team's shared knowledge base.