About the Role

An innovative, high-growth iGaming company is expanding its data team to go beyond traditional reporting and actively integrate AI into everyday business workflows. Our client is looking for a Senior BI Developer to bridge the gap between business intelligence, data engineering, and AI-driven automation.

Key Responsibilities

Design, build, and maintain robust, scalable ETL/ELT pipelines using dbt, Airflow, and BigQuery to ensure data reliability, governance, and high performance.
Lead the design and optimization of data models and dashboards within our BI layer (Omni), driving best practices for consistent metric definitions and enterprise-wide self-serve analytics.
Architect automated workflows for recurring compliance, tax, finance, and CRM/marketing reporting to completely eliminate manual overhead.
Conduct deep-dive analyses on complex player behavior, campaign performance, and product trends, converting raw data into high-impact strategic insights for executive stakeholders.
Standardize core KPIs across multiple product lines and guide marketing, CRM, and product teams in designing, running, and analyzing complex A/B tests.
Partner with the Technical Lead to identify operational bottlenecks and implement production-grade AI/LLM-based automation tools across operations, support, and finance.

Candidate Requirements

5+ years of experience in a BI, Data Engineering, or Analytics Engineering role with a proven track record of ownership.
Advanced SQL expertise paired with strong Python skills for data manipulation, automation, and script writing.
Expertise in modern analytics frameworks (cohort analysis, advanced segmentation, KPI design, statistical experimentation).
Proven background in data modelling and designing scalable semantic layers.
Exceptional ability to translate complex data engineering concepts into actionable business strategies for non-technical leadership (Finance, Compliance, Product, CRM).
Experience navigating data accuracy and governance within highly regulated or data-heavy environments.
Autonomous, proactive mindset with a desire to mentor junior team members and thrive in a fast-moving environment.

Desirable Attributes

Prior iGaming industry experience (or experience in high-volume, highly regulated fintech/e-commerce sectors).
Deep hands-on experience with cloud data platforms (BigQuery, Snowflake) and orchestration tools (dbt, Airflow).
Experience with modern semantic BI tools (Omni, Looker, PowerBI).
Practical experience or strong technical interest in LLM integration, AI agent workflows, and practical ML applications.

Salary up to 65K depending on experience.

Senior BI Data Analyst - up to 65K

Job Description