Senior Data Analyst - Finance Analytics

The Senior Data Analyst will build the financial reporting function for an expanding online casino and horse racing business from the ground up. This is a high-ownership opportunity to develop end-to-end reporting infrastructure, from data modeling and transformation to dashboards, KPIs, and actionable business insights. You will work with large, complex datasets and modern analytics technologies to deliver accurate, scalable financial reporting. Partnering closely with finance, engineering, legal and compliance, operations, and commercial teams, you will help stakeholders make informed business decisions. You will also explore generative AI tools to automate workflows, improve reporting efficiency, and modernize analytics practices. With direct exposure to leadership and significant autonomy, this role is ideal for an experienced analyst who enjoys building solutions from scratch in a fast-paced, high-growth environment.

The ideal candidate combines strong technical analytics skills with independent project ownership and the ability to translate complex data into clear business recommendations. You should be comfortable working autonomously, managing ambiguity, and collaborating with both technical and non-technical teams. Key qualifications include:

• At least 4 years of experience in a data analyst or similar analytical role within a fast-paced, high-growth environment.

• Strong SQL skills and experience querying and analyzing large datasets.

• Familiarity with data platforms such as Snowflake, BigQuery, MSSQL, Vertica, Presto, or PostgreSQL.

• Experience with dbt Core or dbt Cloud, including data modeling, transformations, and reporting workflows.

• Proficiency in a business intelligence or data visualization tool such as Sigma, Tableau, Looker, or an equivalent platform.

• Demonstrated end-to-end ownership of projects, including building reporting solutions and analytical capabilities from scratch.

• Strong communication skills, with the ability to translate business needs into technical requirements and present insights, progress, and recommendations to non-technical stakeholders.

• A high degree of accountability, autonomy, and initiative, with the ability to deliver results without extensive supervision.

• Python experience for data wrangling and pipeline development is a plus.

• Familiarity with generative AI tools such as Claude, ChatGPT, Snowflake Cortex, or GitHub Copilot is an advantage.

• Previous experience in gaming, casino operations, or sports betting is beneficial.

• Experience in a startup, consulting environment, or working closely with finance teams as a data practitioner is desirable.