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AI Summary
The role involves owning the Tableau reporting ecosystem and translating business requirements into technical delivery roadmaps. The analyst will collaborate with data warehouse teams to optimize schemas and provide actionable insights to stakeholders.
ABOUT US
ARRISE sets the benchmark for service delivery and excellence in the iGaming industry. Playing a key role in the success of its clients, which include Pragmatic Play, a brand relied upon by the world’s biggest online casinos for its cutting-edge products, ARRISE helps to deliver exceptional gaming experiences to millions of players worldwide.
Our global team of over 10,000 talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon.
At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success.
To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed — while embracing every step of the journey.
Be part of the future of iGaming with 10,000 ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here.
Our global team of over 10,000 talented and driven professionals are shaping the future of iGaming. Headquartered in Gibraltar, we have offices spanning Canada, India, the Isle of Man, Latvia, Malta, Romania, Serbia, Bulgaria, and the UAE, and more exciting destinations on the horizon.
At ARRISE, we take pride in creating growth opportunities at all levels, constantly investing in our people while welcoming new colleagues and forging strategic partnerships that open new opportunities for success.
To achieve this, we bet on ourselves. We know that success is a collective effort, and our team is driven by ambition, collaboration, and a shared commitment to grow and succeed — while embracing every step of the journey.
Be part of the future of iGaming with 10,000 ARRISERS! See a job that excites you? Apply now, and our friendly recruitment team will connect with you soon. Your journey starts here.
WHAT YOU'LL BE DOING
- 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 WE ASK OF YOU
- Experience: 3+ 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.
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