IT Data Analyst

Position Overview

Collaboration and Analysis

• Collaborate with business stakeholders, data engineers, IT teams, and BI teams on analytical requirements and data availability.
• Perform exploratory analysis, apply statistical methods, and translate business questions into analytical frameworks.
• Gather data from internal and external sources and prepare and validate datasets for analysis.

Reporting and Data Governance

• Build and maintain interactive Power BI dashboards and reports across Finance, Procurement, Supply Chain, Sales, and other domains.
• Present insights clearly and align data models, standardized visuals, KPIs, and data definitions with reporting requirements.
• Apply data governance and compliance standards to Power BI artifacts.

Quality and Optimization

• Monitor data quality, resolve discrepancies, and implement validation checks for reliable analytical outputs.
• Analyze metrics and KPIs, troubleshoot reporting issues, and recommend business process improvements.
• Document methods, data sources, report specifications, and analytical assets while sharing best practices.

AI and Business Intelligence

• Use Microsoft Fabric and Power BI AI capabilities, including Copilot and natural language querying, to accelerate analysis and reporting.
• Validate AI-generated hypotheses, summaries, trends, anomalies, and insights for accuracy and business relevance.
• Support ad hoc analysis, self-service BI, and longer-term business intelligence initiatives.

Education and Experience

• Bachelor's degree in Computer Science, Information Technology, Statistics, Mathematics, Data Science, or a related field.
• Typically requires three to seven years of experience in data analysis or a related IT field.
• Requires three to five years of hands-on experience with visualization tools, SQL querying, and BI reporting.

Technical Qualifications

• Proficiency in SQL, relational databases, data warehouses, data modeling, DAX, and Power Query.
• Advanced Power BI proficiency, including dataflows, datasets, measures, and report development.
• Familiarity with Microsoft Fabric components such as Data Warehouse, Lakehouse, OneLake, and Data Pipelines.
• Python or R, Tableau or Looker, and Microsoft data analyst or Fabric certifications are advantageous.

Why Work for Us

• The company describes a positive and inclusive environment, competitive salaries, comprehensive benefits, growth opportunities, and challenging client projects.