Collect, analyze, and interpret data from multiple sources to support business decision-making.

Design and develop interactive dashboards and reports using BI tools.

• Bachelor’s degree in Information Technology, Information Systems, or a related field; Master’s degree is a plus.

• Minimum 3 years of professional experience as a Data Analyst, BI Analyst, or Reporting Specialist

• Hands-on experience developing interactive dashboards and analytical reports using Power BI, Qlik Sense, or Tableau.

• Strong proficiency in SQL for data extraction, joining, and transformation from multiple sources.

• Understanding of data modeling concepts (star schema, snowflake schema) and KPI/metric definition for reporting purposes.

• Experience collaborating with business stakeholders to define and document analytical requirements.

• Familiarity with data warehouses or cloud data platforms (e.g., Snowflake, BigQuery, Redshift, Azure Synapse)

• Proficient in En

• Collect, analyze, and interpret data from multiple internal and external sources to support business decision-making.

• Design, develop, and maintain interactive dashboards and reports using BI tools such as Power BI, Qlik Sense, or Tableau.

• Collaborate with business stakeholders to define data requirements, KPIs, and performance metrics aligned with organizational goals.

• Transform raw data into meaningful insights through statistical analysis, visualization, and storytelling techniques.

• Ensure data accuracy and consistency by validating datasets, identifying anomalies, and coordinating with data engineering teams to resolve issues.

• Perform trend and variance analysis to identify opportunities, risks, and performance improvement areas.

• Develop and document data models and calculations that support standardized business reporting and self-service analytics.

• Support data-driven initiatives by providing ad hoc analyses and actionable recommendations to business teams.

• Automate recurring reports and analytical workflows to improve efficiency and reduce manual work.

• Monitor data refresh schedules and BI system performance, ensuring timely delivery and high availability of insights.