Junior Data Analyst

Build and maintain Power BI reports and dashboards under the guidance of senior team members Write, test, and optimize SQL queries against SQL Server to extract, analyze, and validate data Perform data cleaning, shaping, and transformation using Power Query Support data reconciliation and quality checks by verifying record counts, revenue figures, shipment data, and other business information against source systems Assist in documenting data sources, measures, report logic, and data processes Respond to ad-hoc data requests from business units including operations, commercial, and finance Help maintain and monitor existing automated reporting pipelines Learn and gradually contribute to DAX measure development and workflow automation Support the design, development, and maintenance of business intelligence solutions across the organization Collaborate with senior BI team members to translate business requirements into meaningful reports and data insights Assist in identifying data quality issues and support their investigation and resolution Stay up to date with modern data and AI technologies and contribute to the continuous improvement of reporting and analytics processes Assist in providing periodic updates to Management on pending tasks, priorities, and required actions to ensure timely follow-up and completion Undertake additional tasks and responsibilities related to the scope and level of the role as required

Desired Candidate Profile

Bachelor's degree in Computer Science, Statistics, Engineering, Business Analytics, Information Systems, or a related field Minimum 2 3 years of experience in data analytics, business intelligence, or a related field Experience or strong interest in the logistics, shipping, or supply chain industry is a strong advantage Foundational knowledge of SQL, including SELECT queries, joins, and aggregations Familiarity with Power BI, DAX, and Power Query (M) Exposure to Agentic AI, Copilot Studio, Power Automate, Office Scripts, and Microsoft Fabric is an advantage Basic knowledge of Python for data manipulation Strong Microsoft Excel and data visualization skills Strong analytical and problem-solving skills with attention to detail Excellent verbal and written communication skills Proactive, eager to learn, and solution oriented Ability to work effectively with both technical teams and business stakeholders Fluent in English, written and spoken; knowledge of other languages is an advantage Strong organizational skills with the ability to manage multiple tasks and priorities in a fast-paced environment