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Monkey Tilt
Business Intelligence Manager
10 days ago | 114 views | 4 applications

Business Intelligence Manager


About the company

Monkey Tilt is building a gaming platform that will house all speculation, with everything from traditional sports betting and casino games to poker to crypto perpetuals to prediction markets to collectibles and more. And wrapped around this platform is a lifestyle brand that embraces the fact that life is a gamble, and that is fucking awesome. The company is financed by top-tier institutional investors, closing $21 million last year and preparing to announce a much larger series A financing closing soon. We are led by a CEO and leadership team brimming with youth, energy, and extensive experience in online gaming, crypto trading, culture and design. Tyga, the iconic hip hop artist and fashion icon, recently joined the company as its Creative Director and the team is routinely welcoming entertainment giants and cultural icons to its roster. Unlike other competitors that focus on a sportsbook, casino, poker or a hybrid of those 3, MonkeyTilt aspires to bring together many more verticals in gambling and speculation all unified by a single, multi-currency wallet and a best-in-class rewards system. Moreover, many brands and concepts will spin off of MonkeyTilt but continue to be a part of our interconnected ecosystem, including our soon-to-launch fashion label, Tilt Club Collection; our podcast, the Fully Tilted Pod; and other yet to be released media assets. Online casinos have not evolved over the last 25 years. And to think that in the next 25 years, they will live in isolation as they do now is foolhardy. Speculation is a lifestyle that can be exercised through many outlets, and we plan to be the central point of distribution for as many of those as you can imagine. And we want to deliver that in a fresh and unique way.

Job Summary

Key Responsibilities:

📍Building and maintaining a collaborative relationship with Senior Executive Leaders across all functions to drive positive business outcomes. 📍Responsible for the Business Intelligence and Analytic strategy, including vision and roadmap for capabilities and technologies. 📍Utilises a diverse knowledge of data science topics to scope problem statements 📍Constructively participates or runs design sessions with a team to discuss all the possible solutions to a defined problem. 📍Works with senior members of the team and stakeholders to define the measurement of success for a project and ensures viability of the measurement 📍An understanding of at least one branch of inferential statistics, multiple topics of machine learning and how to apply them appropriately within a business context 📍Interpreting data, analyzing results using statistical techniques and providing ongoing reports. 📍Developing and implementing databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality. 📍Acquiring data from primary and secondary data sources and maintaining databases/data systems 📍Identifying, analyzing and interpreting trends or patterns in complex data sets 📍Working with management to prioritize business and information needs 📍Locate and define new process improvement opportunities 📍Working across different departments (Product, CRM, Finance, SEO, Marketing) to determine best metrics, reports, dashboards and analysis needed to drive the business and working with the appropriate teams to implement them. 📍Creating and delivering presentations that touch on all parts of the organization. 📍Providing leadership to a team of talented data analysts. 📍Other additional duties as required.


📍A Master’s Degree, or equivalent degree, in Mathematics, Computer Science, Statistics or Economics is preferred. 📍A minimum of 3-5 years hands on experience in a similar role or in a data science orientated role 📍Experience in data models, reporting packages and proficient with languages: Python and SQL 📍Displays an understanding of at least one branch of inferential statistics, multiple topics of machine learning and how to apply them appropriately within a business context 📍Mathematically minded, and comfortable with statistics, probability and logical problems. 📍You have experience in the full lifecycle of developing, deploying and maintaining machine learning models in cloud environments (e.g. Databricks, GCP) 📍Able to describe technical concepts and topics to laymen stakeholders 📍Deep understanding of the best practice for data analysis and visualization platforms. 📍Ability to write comprehensive reports 📍Strong verbal and written communication skills 📍An analytical mind and inclination for problem solving 📍Fluency (both spoken and written) in English. Additional languages would be considered an asset 📍Ability to work independently and quickly to produce high quality work requiring minimal oversight or correction 📍Demonstrate a high level of attention to detail 📍Ability to multi-task and to work in an efficient way 📍Previous experience in the online casino industry is an advantage.

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