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TalentIn

via Teamtailor

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Data Analyst for NDA iGaming Company

Anywhere
full-time
Posted 8/27/2025
Direct Apply
Key Skills:
Power BI
Tableau
Data Visualization
SQL
Data Warehousing
Predictive Analytics
Business Intelligence
Reporting and Analysis

Compensation

Salary Range

$70K - 110K a year

Responsibilities

Create and manage dashboards and reports, analyze marketing data, monitor KPIs, ensure data governance compliance, and present reports to senior management.

Requirements

3+ years in analytics with BI tools (Tableau or Power BI), knowledge of SQL and data warehousing, and preferably Python or SAS with ML/AI experience.

Full Description

Our client is an international online gaming company offering sports betting and casino services, with a significant presence in Latin America. Strategic focus is to deliver a high-quality, personalized gaming experience, leveraging advanced technology and localized services to cater to the preferences of the different Latin American players. Develop and launch own Casino Games, as well as operate own CRM, CS and Back-office platforms. Perfect for those who aim to: Create and manage dashboards and reports to support decision-making; Analyze marketing data to assess traffic effectiveness; Provide data discovery and interpret trends or patterns in complex data sets; Collaborate with various stakeholders to identify key business metrics, perform KPIs monitoring and analysis; Manage BI processes from inception to completion (hypothesis testing, business planning etc.); Ensure compliance with data governance and security policies; Be responsible for preparing and presenting reports to senior management; Support ad-hoc reporting and analysis requests. Experience you’ll need to bring: At least 3+ years of experience in analytics with strong data visualization skills; Proven experience with BI tools such as Tableau or Power BI; Knowledge of analytical events tracking approaches; Understanding of data warehousing concepts and technologies; Knowledge of SQL and database management; Proficiency in Python or SAS is desirable; High proficiency in reporting, analysis, and optimization; Predictive analytics; Experiences with ML/AI tools, models and agents. It's a perfect match if you have those personal features: Desire to learn staying up-to-date with industry trends and technologies; Excellent communication skills (verbal, written, and presentational); Proactive and result-oriented mindset.

This job posting was last updated on 9/2/2025

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