Senior Data Analyst

3 semanas atrás

Brazil, BR VOMAIO Tempo inteiro

We have partnered with a revolutionary iGaming company that is redefining the PAM landscape in North America.

They are experiencing phenomenal growth in the U.S. and Canadian markets, this is your chance to join their team at a pivotal moment and contribute to their mission of transforming the industry.


Job Overview:

We are seeking an experienced and highly skilled Senior Data Analyst to join a dynamic data development team.

The ideal candidate will have a strong background in data architecture, data modelling, ETL processes, and data integration. As a Senior Data Analyst, you will be responsible for designing, developing, and maintaining robust data solutions that support our business intelligence, analytics, and data-driven decision-making processes.


What you'll be doing:

  • Analyse large and complex data sets to identify trends, patterns, and insights.
  • Develop and maintain dashboards and reports to track key performance indicators (KPIs).
  • Collaborate with cross-functional teams to understand data requirements and provide analytical support.
  • Conduct deep-dive analysis to support business initiatives and strategic projects.
  • Ensure data accuracy and integrity by performing data validation and quality checks.
  • Present findings and recommendations to senior management and other stakeholders.
  • Mentor and provide guidance to junior data analysts.
  • Stay current with industry trends and best practices in data analytics.


What You'll Need:

  • Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • 5+ years of experience in data analysis or a related role.
  • Proficiency in SQL and experience with data visualization tools (e.g., Tableau).
  • Strong analytical and problem-solving skills.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
  • Experience with statistical analysis and modelling techniques.
  • Familiarity with programming languages such as Python or R is a plus.
  • Familiarity with Cube Dev as a platform is a plus.

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