Senior IT Data Analyst

Responsibilities

• Develop, publish, and maintain interactive dashboards and reports using Power BI, tailored to meet specific business objectives and decision‑making needs.
• Collaborate with business stakeholders to understand strategic goals, operational processes, and KPIs.
• Work cross‑functionally with product owners, operations, finance, and IT teams to gather requirements, define data needs, and deliver impactful analytical outputs.
• Translate business requirements into scalable data models, SQL queries, and reporting logic.
• Write, optimize, and maintain SQL queries for data extraction, transformation, validation, and analysis across multiple data sources.
• Ensure high standards of data accuracy, completeness, and consistency, applying robust validation and reconciliation.
• Enforce and contribute to data governance policies, including data cataloging, metadata management, access control, and documentation of business logic and data definitions.
• Support migration efforts from legacy reports/dashboards to centralized BI platforms, ensuring minimal disruption and maintaining historical data continuity.
• Automate manual reporting processes and streamline data workflows, using tools such as Power BI, SQL, Power Automate, or Python.
• Monitor, troubleshoot, and optimize the performance of reports and dashboards, ensuring they are reliable, timely, and responsive to user needs.
• Educate and empower end users across departments to interpret dashboards, use self‑service analytics tools, and apply data insights effectively in their roles.
• Stay informed about industry trends, tools, and best practices to continuously improve analytics solutions and bring innovation to the organization’s data strategy.

• Bachelor’s degree in Computer Science, Information Systems, Data Science, Business Analytics, Economics, or a related field.
• Proven experience in data analysis, root cause investigation, and data quality validation, with a strong understanding of data lifecycle and integrity.
• Proficient in SQL for data extraction, transformation, and analysis; experience with Python for data processing, automation, or scripting is highly desirable.
• Hands‑on experience with Microsoft Azure data services, such as Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics; familiarity with GCP or AWS platforms is a plus.
• Strong expertise in Power BI for developing dashboards, data models, visualizations, and DAX calculations to support business decision‑making.
• Good understanding of data governance, data quality assurance best practices.
• Strong analytical thinking and attention to detail, with a commitment to delivering clean, accurate, and actionable data.
• Excellent communication skills, with the ability to translate complex business requirements into clear technical specifications and analytical solutions.
• Effective stakeholder management, capable of working with both technical and non‑technical audiences to gather requirements, deliver insights, and drive data‑driven decisions.
• Experience working in cross‑functional teams within Agile, Scrum, or other project‑based environments, with an ability to manage multiple priorities and deadlines.