Senior BI Analyst
你将要做什么 · 拥有报告生态系统：负责设计，开发和维护 Tableau 报告套件，确保高性能和数据准确性。·有效管理利益相关者：作为内部利益相关者的咨询合作伙伴，将高级商业问题转化为技术要求和交付路线图。· 桥梁数据与企业：与数据仓库团队合作影响数据建模和方案设计，以确保后端优化适合所有分析需求。· 驱动可操作的见解：超越描述性报告，以确定趋势和增长机会，向利益相关者提供明确的"下一步"建议。· 将 BI 最佳实践标准化：实现并保持高标准仪表板，数据文档和质量保证以确保"单一来源的真相" · 从端到端执行：从初步 SQL 数据提取和转型到最终可视化以及利益相关者的通行过程中领导报告项目整个生命周期。你带来什么？· 5年以上在 BI 或数据分析角色，具有 iGaming 或 B2B 软件领域的具体经验。·技术掌握：专业知识在 Tableau 和 SQL 中。· 解决方案导向方法：采用混乱或不完整的要求，将其转化为结构化的有价值的报告工具。· 沟通技能：能够管理利益相关者的期望，引冲突优先事项并向非技术观众展示数据发现的能力。·分析深度：对数据建模概念 （星/雪花计划）和数据仓库架构的坚实的理解。· 理想技能：使用 Python 进行数据自动化和大数据报告的经验。· 教育：计算机科学，统计学，数学或相关领域的本科学位。关于我们，ARRISE 是全球 iGaming 行业软件开发和服务的领导者，汇集了超过2,500名专业人员在世界各地12多个地点开展业务。从概念到交付，我们结合技术专业知识，创造力和行业知识来开发塑造玩家体验并支持行业领先品牌的一些产品，平台和服务。我们最为 Pragmatic Play 提供的工作而闻名，创建和支持技术，产品和特种
查看英文原文
What you will do
- Own the Reporting Ecosystem: Take responsibility for the design, development, and maintenance of the Tableau reporting suite, ensuring high performance and data accuracy.
- Manage Stakeholders Effectively: Act as a consultative partner to internal stakeholder, translate high-level business questions into technical requirements and delivery roadmaps.
- Bridge Data & Business: Collaborate with the data warehouse team to influence data modelling and schema design, ensuring the backend is optimized for all analytical needs.
- Drive Actionable Insights: Move beyond descriptive reporting to identify trends and growth opportunities, providing stakeholders with clear "next step" recommendations.
- Standardize BI Best Practices: Implement and maintain high standards for dashboard, data documentation, and quality assurance to ensure a "single source of truth"
- End-to-End Execution: Lead the full lifecycle of reporting projects, from initial SQL data extraction and transformation to the final visualization and stakeholder walkthrough.
What you bring
- 5+ years in a BI or Data Analytics role, with specific experience in the iGaming or B2B software sector.
- Technical Mastery: Expert proficiency in Tableau and SQL. You must be comfortable writing complex, optimized queries for large-scale datasets.
- Solution-Oriented Approach: A track record of taking messy or incomplete requirements and turning them into structured, valuable reporting tools.
- Communication Skills: Proven ability to manage stakeholder expectations, navigate conflicting priorities, and present data findings to non-technical audiences.
- Analytical Depth: Solid understanding of data modeling concepts (Star/Snowflake schemas) and data warehouse architecture.
- Desirable Skills: Experience with Python for data automation and big data reporting
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.
About us
ARRISE is a global leader in software development and services for the iGaming industry, bringing together more than 2,500 professionals operating across more than 12 locations worldwide.
From concept through to delivery, we combine technical expertise, creativity and industry knowledge to develop products, platforms and services that shape player experiences and support some of the industry's leading brands.
We are best known for the work we deliver for Pragmatic Play, creating and supporting technology, products and specialists services enjoyed by millions of players worldwide.
Originally posted on Himalayas