Data Analyst

Role Title: Lead Data Analyst
Location: Atlanta, Georgia
Job Type: Full-Time

• Perform area research and analytical deep dives to support business, marketing, and customer-focused initiatives.
• Write complex SQL queries in BigQuery to extract, transform, validate, and analyze large datasets.
• Conduct exploratory data analysis to identify trends, patterns, anomalies, and business opportunities using Python
• Build dashboards, reports, and visualizations using Tableau and Power BI.
• Work with large-scale and complex datasets across customer, sales, marketing, geography, product, and campaign domains.
• Partner with internal business teams to understand requirements, clarify objectives, and convert business questions into analytical outputs.
• Prepare clear summaries, insights, and recommendations for business stakeholders.
• Validate data quality, reconcile metrics, and ensure accuracy of reports and dashboards.
• Support ad hoc analysis, recurring reporting, and executive-level business reviews.

• Strong SQL development experience, preferably with Google BigQuery.
• Hands-on experience in Tableau and Power BI for dashboarding and visualization.
• Strong exploratory analysis, data profiling, and insight-generation skills using Python
• Experience working with large, complex, and multi-source datasets.
• Good understanding of business analysis, KPI tracking, and performance reporting.
• Strong communication skills to coordinate with internal business partners.
• Ability to work in EST hours and collaborate effectively in a remote setup.

• Prior experience in retail, ecommerce, MarTech, customer analytics, marketing analytics, or area research.
• Exposure to Google Cloud Platform and modern data warehouse environments.
• Ability to convert business problems into structured analytical frameworks.

• The ideal candidate is a strong hands-on analyst who can combine SQL, data analysis, and visualization skills with business communication.
• The person should be comfortable working with stakeholders, handling large datasets, and producing clear insights that support business decisions.