As a Senior Consultant Analytics, you shall gather, analyze, identify and lead actionable data insights to solve real complex challenges.
Your work will directly influence decisions taken to build the most successful web / mobile gaming platform with games played by millions across the world.
ResponsibilitiesLeverage complex data algorithms and numerical methods for forecasting, simulation, and predictive analysis, designed to optimize key decisions and metrics such as retention, engagement, and operations.
Work with all teams in the company to understand, plan and drive data-based actionable decisions, championing the Data Science culture.
Analyze consumer data to drive insight on how to target effectively, retain customers at low cost, and optimize engagement metrics.
Develop a reporting process for all KPIs.Recruit, develop and coach talent.Champion awareness of data indicators within the organization and teach everyone to proactively identify data patterns, growth trends, and areas for improvement.
QualificationsB.tech or Bachelor degree in Data science.
An MBA or advanced degree in a quantitative discipline is preferred.3+ years in Data Science and Analytics execution, with specific experience in all stages -
gathering, hygiene, and analysis of data resulting in actionable insights for an end-to-end product, marketing and business operations.
Knowledge of advanced analytics including but not limited to Regression, GLMs, survival modeling, predictive analytics, forecasting, machine learning, decision trees etc.
Past experience in at least one Statistical and analytic tools or language expertise R, Python, SAS etc..Expertise in analysis Algorithms, Numerical Methods and Data Tactics used to drive operational excellence, user engagement and retention.
Expertise in at least one visualization platforms such as Tableau, QlikView, Spotfire and Excel.
Tableau skills preferred.Advanced SQL is mandatory skills.Ability to creatively solve business problems through innovative approaches.
Ability to work with various teams in a complex environment, ensuring timely delivery of multiple projects.Highly analytical with the ability to collate, analyze and present data, and drive clear insights into decisions that improve KPIs.
Ability to effectively communicate and manage relationships with senior management, company divisions and partners.
Skills : - Business Intelligence (BI), Data Science and Predictive modelling