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Senior Data Analyst

Resumen del puesto
Quan 1
Salario: No especificado
Sin trabajo a distancia
Experiencia: > 2 años
Competencias y conocimientos
Contenido generado


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El puesto

Descripción del puesto

  • Develop, implement, automate data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
  • Collaborate with product development teams (game or gamification solutions) to understand the insight and prioritize the analysis needs
  • Define the business tracking need for specific KPI, working efficiently with the Data Tracking Specialist and BI Team to provide accurate data analysis
  • Acquire data from different data sources and maintain databases/data systems, filter and “clean” data by discovering any mismatches or outliers, present information using dashboards and other data visualization techniques
  • Analyze data using statistical techniques and provide ongoing reports, propose enhancement/KPI
  • Analyze player behavior, evaluate game performance, interpret trends or patterns in complex data sets and propose suggestions to business challenge
  • Provide monthly main KPIs data evolution for each project, quarterly full player analysis and list of recommendations for each project, quarterly full data analysis of all the games


  • At least 2 years working experience as a Data Analyst on Gaming Industries
  • Business Intelligence in Gaming are required, business Intelligence in Kids Gaming are a big plus
  • Knowledge on Business Intelligence tools as Metabase, Microsoft Power BI or Looker are a must
  • Knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, JavaScript, or ETL frameworks)
  • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc.)
  • Knowledge of Jira (Data, Dashboards, JQL queries) is a plus
  • Adept at queriesreport writing and presenting findings
  • Technical expertise regarding data models, database design development, data mining and segmentation techniques
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • High presentation, reporting and communication skills with professional English competency
  • Strong team spirit, high commitment and self-discipline
  • Meticulousness, result-oriented working approach, flexible attitude and a quick learner

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