We are seeking a detail-oriented Data Analyst to transform complex data into clear, actionable insights. The ideal candidate will collaborate with business and technical teams to develop reports, monitor performance, identify trends, and support data-driven decision-making.

Key Responsibilities

• Collect, clean, validate, and analyze data from multiple sources.

• Build and maintain dashboards, reports, and performance metrics.

• Identify trends, patterns, risks, and opportunities within business data.

• Translate stakeholder requirements into analytical solutions.

• Present findings and recommendations to technical and non-technical audiences.

• Monitor data quality and resolve inconsistencies.

• Automate recurring reports and improve analytical processes.

• Define and track key performance indicators (KPIs).

• Support forecasting, planning, and ad hoc analysis.

• Document data sources, definitions, methodologies, and reporting procedures.

Required Qualifications

• Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related discipline.

• Experience in data analysis, reporting, or business intelligence.

• Proficiency in SQL and spreadsheet tools such as Microsoft Excel or Google Sheets.

• Experience with visualization tools such as Power BI, Tableau, or Looker.

• Strong analytical, problem-solving, and critical-thinking skills.

• Ability to communicate complex findings clearly and concisely.

• Strong attention to detail and commitment to data accuracy.

Preferred Qualifications

• Proficiency in Python or R for data analysis.

• Familiarity with cloud data platforms and data warehouses.

• Knowledge of statistical analysis, experimentation, and forecasting.

• Experience working with large or complex datasets.

• Understanding of ETL processes and relational data models.

• Relevant experience in our industry or business domain.