Business Intelligence Lead

PLAYSTUDIOS US, LLC•Las Vegas, NV

About The Position

We are looking for a strategic, analytical, and hands-on Business Intelligence Lead to help drive data-informed decision-making across our playAWARDS loyalty and rewards platform. This role is ideal for a player-coach who is equally comfortable mentoring others and rolling up their sleeves to build dashboards, write SQL, and perform deep-dive analyses. In this role, you will partner cross-functionally with rewards partnerships, player development, marketing, game teams, and other loyalty stakeholders to deliver actionable insights that improve player engagement, program performance, and business outcomes. The ideal candidate brings strong technical skills, leadership capability, intellectual curiosity, and a bias for action. This role will be responsible for developing reporting frameworks, defining KPIs, supporting experimentation, and ensuring data quality and accessibility across the playAWARDS ecosystem. This is an exciting opportunity for someone who enjoys ownership, thrives in a collaborative environment, and wants to play a key role in shaping how data powers the evolution of our loyalty platform business.

Requirements

Bachelor’s degree in business, information systems, data science, economics, statistics, analytics, or equivalent practical experience
5+ years of experience in business intelligence, data science, analytics, or a related field.
Prior people management experience, with the ability to coach, develop, and provide direction to analysts.
Strong hands-on proficiency in SQL, Excel, and BI visualization tools (e.g., Tableau, Mode, Sisense).
Proven experience building dashboards, creating reporting frameworks, and performing detailed analyses that influence business decisions.
Strong analytical and problem-solving skills, with the ability to work independently and move fluidly between strategic thinking and hands-on execution.
Deep understanding of experimentation frameworks, A/B testing, and performance measurement methodologies.
Excellent verbal and written communication skills, including the ability to present data clearly and effectively to both technical and non-technical audiences.
Highly organized, detail-oriented, and self-motivated, with the ability to manage multiple projects in a fast-paced and collaborative environment.

Nice To Haves

Prior experience in either social gaming, loyalty, mobile gaming, casino/hospitality, or related experience is strongly preferred.
Experience analyzing player behavior, engagement, retention, monetization, or loyalty program performance is preferred.

Responsibilities

Support the execution of the business intelligence strategy for the playAWARDS division, ensuring alignment with team and company objectives.
Serve as a player-coach by directly producing analyses, dashboards, reporting, and insights while managing and mentoring one BI analyst.
Lead the development, maintenance, and enhancement of dashboards, recurring reporting, and ad hoc analyses related to player behavior, loyalty engagement, reward and partner performance, loyalty economy, and overall business health.
Partner with rewards, marketing, player development, game teams, and operations stakeholders to understand business needs, prioritize analytical work, and deliver actionable insights.
Define, standardize, and maintain key performance indicators (KPIs), reporting logic, and data definitions to ensure consistency across playAWARDS.
Ensure data accuracy, integrity, and reliability across reporting and analysis, acting as a key steward of data quality for the playAWARDS team.
Translate complex business questions into clear analytical approaches, actionable insights, and strategic recommendations to present to stakeholders and leadership.
Conduct deep-dive analyses to identify trends, risks, and opportunities related to player engagement, retention, monetization, loyalty participation, and reward redemption behavior.
Support the design, execution, and readout of A/B tests and other experiments to evaluate the impact of loyalty features, promotions, messaging, and product changes.
Collaborate with data engineering and other technical teams to improve data availability, reporting automation, and overall BI scalability.
Establish and maintain thorough documentation for BI processes, dashboards, metric definitions, and BI best practices.
Allocate BI team resources effectively to ensure the successful execution of BI initiatives, while setting clear performance goals, providing constructive feedback, and supporting the professional growth of team members
Manage project timelines and ensure the BI team meets deadlines, delivering high-quality insights that drive business decisions.