Data Analyst | 100% Remote

About the Company

Our client is a U.S.-based company specializing in marketing effectiveness measurement across multiple channels. The company helps organizations understand consumer behavior, purchasing trends, and market performance through data-driven insights.

About the Role

The company is seeking a Data Analyst to join its global team. This role is suitable for recent graduates and early-career professionals interested in working with large-scale consumer and retail datasets. The successful candidate will use SQL to extract, transform, and analyze data, helping generate actionable insights for clients and internal stakeholders.

Key Responsibilities

• Extract, query, and manipulate data using SQL across relational databases and cloud data warehouses.
• Analyze large consumer and transactional datasets to identify trends, patterns, and business insights.
• Build and maintain structured datasets for recurring reports and business analyses.
• Calculate key business metrics, including household penetration, market share, purchasing behavior, and category trends.
• Clean, organize, and categorize raw and semi-structured data as needed.
• Validate data outputs and perform quality checks to ensure accuracy and integrity.
• Collaborate with internal teams to support reporting requirements and answer business questions.
• Translate complex datasets into clear findings and actionable recommendations.

Required Qualifications

• 0–4 years of experience in Data Analytics, Reporting, Business Intelligence, or a similar analytical role.
• Advanced English proficiency, both written and spoken.
• Strong SQL skills, including joins, filtering, aggregations, GROUP BY statements, and conditional logic.
• Understanding of relational databases, table relationships, and data structures.
• Experience working with large datasets and performing data validation.
• Ability to identify trends, anomalies, and meaningful business insights.
• Bachelor’s degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, Engineering, or a related quantitative field.

Preferred Qualifications

• Experience with Common Table Expressions (CTEs), subqueries, or window functions.
• Experience working with consumer, retail, panel, transactional, or market research datasets.
• Familiarity with data visualization tools such as Power BI, Looker, Tableau, or similar platforms.
• Basic knowledge of Python for data manipulation and analysis.
• Experience with text data cleaning, categorization, or string manipulation techniques.

Location and Work Arrangement

• Fully remote position.
• Collaboration with a global, multidisciplinary team.
• 10 days of paid time off.
• U.S. holidays observed.

Benefits and Professional Development

• Opportunity to work with large-scale consumer and retail datasets that inform business decisions.
• Collaborative international work environment.
• Opportunities to develop SQL, data analytics, and business intelligence skills through practical projects.
• Remote work arrangement designed to support work-life balance.