Data Analyst

We are seeking a detail-oriented and analytical Data Analyst to collect, analyze, and interpret data to support business decision-making. The successful candidate will transform complex data into meaningful insights, reports, and dashboards that help teams identify trends, improve performance, and achieve business objectives.

Key Responsibilities

• Collect, clean, validate, and organize data from multiple sources.
• Analyze datasets to identify trends, patterns, opportunities, and potential issues.
• Create and maintain dashboards, reports, and data visualizations.
• Develop and maintain SQL queries for data extraction and analysis.
• Work with business teams to understand reporting and analytical requirements.
• Track key performance indicators (KPIs) and provide actionable recommendations.
• Identify data quality issues and work with relevant teams to resolve them.
• Prepare recurring and ad-hoc reports for management and stakeholders.
• Communicate analytical findings clearly to both technical and non-technical audiences.
• Support forecasting, business planning, and performance analysis.
• Maintain accurate documentation of data sources, methodologies, and reporting processes.

Required Qualifications

• Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business, Economics, or a related field.
• Experience working with data analysis and reporting.
• Strong SQL skills.
• Proficiency with Microsoft Excel or Google Sheets.
• Experience with data visualization tools such as Power BI, Tableau, or Looker.
• Strong analytical and problem-solving abilities.
• Excellent attention to detail and data accuracy.
• Strong written and verbal communication skills.

Preferred Qualifications

• Experience with Python or R for data analysis.
• Knowledge of statistical analysis and forecasting techniques.
• Experience working with large datasets and databases.
• Familiarity with ETL/data transformation processes.
• Experience with cloud data platforms such as Snowflake, BigQuery, or Azure.
• Understanding of business intelligence and KPI reporting.

What We Offer

• Competitive compensation
• Flexible work arrangements
• Professional development opportunities
• Collaborative work environment
• Opportunities to work with modern data and analytics technologies
• Career growth opportunities

Employment Type: Full-time
Department: Data & Analytics
Experience Level: Entry-level to Mid-level