Lead Data Analyst

GameDistrict is seeking a Lead Data Analyst to manage data analysis operations, lead analytical projects, and deliver data-driven insights for business strategy. This role involves guiding the analytics team, optimizing processes, collaborating with cross-functional teams, and analyzing complex datasets to provide clear business recommendations to senior leadership. The ideal candidate will ensure data quality and drive reporting automation.

Must Have

• Lead and manage the data analytics team, providing direction, mentorship, and performance feedback.
• Develop, implement, and optimize data analysis processes, dashboards, and reporting systems.
• Work closely with cross-functional teams (Product, Marketing, Finance, Operations, Engineering) to understand data requirements.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Translate analytical findings into clear business recommendations for senior leadership.
• Oversee data quality, ensuring accuracy, consistency, and completeness across systems.
• Design and maintain KPI frameworks and reporting standards.
• Drive automation of reporting and data workflows.
• Stay updated with industry trends, data tools, and best practices, recommending upgrades or adoption of new technologies.
• Support strategic planning through forecasting, modeling, and scenario analysis.
• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field.
• 7+ years of experience in data analysis, with at least 2-3 years in a lead role.
• Strong proficiency in SQL, Python/R, and data visualization tools (Power BI, Tableau, Looker, or similar).
• Expertise in statistical analysis, data modeling, and predictive analytics.
• Experience working with databases, ETL processes, and data warehousing concepts.
• Excellent communication and presentation skills for technical and non-technical audiences.
• Strong problem-solving, leadership, and project management abilities.
• Experience with big data technologies.
• Knowledge of machine learning concepts.
• Experience in Agile workflows.
• Familiarity with cloud platforms (AWS, GCP, Azure).

We are looking for a skilled and detail-oriented Lead Data Analyst to oversee data analysis operations, guide analytical projects, and provide data-driven insights that support business strategy. The ideal candidate will have strong analytical skills, leadership capabilities, and experience working with complex datasets to drive impact full decisions.

Key Responsibilities

• Lead and manage the data analytics team, providing direction, mentorship, and performance feedback.
• Develop, implement, and optimize data analysis processes, dashboards, and reporting systems.
• Work closely with cross-functional teams (Product, Marketing, Finance, Operations, Engineering) to understand data requirements.
• Analyze large and complex datasets to identify trends, patterns, and actionable insights.
• Translate analytical findings into clear business recommendations for senior leadership.
• Oversee data quality, ensuring accuracy, consistency, and completeness across systems.
• Design and maintain KPI frameworks and reporting standards.
• Drive automation of reporting and data workflows.
• Stay updated with industry trends, data tools, and best practices, recommending upgrades or adoption of new technologies.
• Support strategic planning through forecasting, modeling, and scenario analysis.

Required Skills & Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Business Analytics, or a related field.
• 7+ years of experience in data analysis, with at least 2-3 years in a lead role.
• Strong proficiency in SQL, Python/R, and data visualization tools (Power BI, Tableau, Looker, or similar).
• Expertise in statistical analysis, data modeling, and predictive analytics.
• Experience working with databases, ETL processes, and data warehousing concepts.
• Excellent communication and presentation skills for technical and non-technical audiences.
• Strong problem-solving, leadership, and project management abilities.
• Experience with big data technologies
• Knowledge of machine learning concepts.
• Experience in Agile workflows.
• Familiarity with cloud platforms (AWS, GCP, Azure).