Senior Analytics Manager

Summary

Join Hike and become part of the Rush Gaming Universe, contributing to a dynamic and innovative team. This role requires extensive experience in analytics and data science, coupled with strong leadership and communication skills. You will work with large datasets, develop insightful stories, identify business opportunities, and manage cross-functional teams. The position demands proficiency in data manipulation tools, statistical frameworks, and machine learning techniques. Hike offers competitive compensation and global exposure within a transformative environment.

Requirements

• 8 plus years of experience in analytics/data science or related field
• Hands-on experience on data manipulation tools like SQL, R, Python, Excel etc
• Exposure to BI Platforms like Power BI, Tableau etc
• Knowledge of advanced statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing etc.)
• Knowledge of machine learning techniques like Regression, Classification etc
• Comfortable in a high-energy, fast-paced environment
• Proficient verbal and written communication skills
• Detail-oriented with the ability to self-direct work in an unstructured environment
• Excellent partnership and collaboration skills with the ability to work cross-functionally
• Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines

Responsibilities

• Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed
• Develop compelling stories with business insights, focusing on the strategic goals of the organisation
• Identify business opportunities and ensure customer satisfaction
• Identify the right metrics to track progress against a given business goal
• Design, run and measure experiments to test business hypotheses
• Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
• Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness
• Manage cross-functional teams, review their performance, and manage schedules
• Monitor and forecast key business metrics across departments regularly
• Conduct regular planning and reviews key performance metrics and aid in benefitting from change
• Generate reports of findings and present these to senior management
• Enforce company policies and procedures to ensure quality and prevent discrepancies
• Keep abreast of industry best practices and policies

Benefits

• Competitive compensation
• Exciting global exposure
• A chance to be part of something truly transformative