Senior Data Analyst - Finance Analytics

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst - Finance Analytics based in the United States.

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.

Accountabilities:

You will own the financial analytics reporting stack end-to-end, ensuring that data is transformed into reliable reporting and meaningful insights for business stakeholders. Your responsibilities will include:

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Build Financial Reporting Infrastructure: Create and maintain dashboards, recurring reports, and KPI tracking for the new iCasino business from scratch.

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Own Data Modeling and Reporting: Partner with analytics engineering to develop data models and deliver reporting solutions through Sigma and Oracle.

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Transform Complex Datasets: Query, join, and transform large datasets using SQL, Snowflake, and dbt to support cross-functional reporting requirements.

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Deliver Business Insights: Analyze operational and financial performance, identify trends and opportunities, and communicate findings clearly to finance and business stakeholders.

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Develop BI Solutions: Design and implement effective business intelligence dashboards in Sigma, applying best practices for usability, accuracy, and scalability.

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Maintain BI Standards: Help establish and maintain best practices across internal and external Sigma environments.

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Collaborate Across Teams: Work with analysts, data engineers, and other stakeholders to solve business problems and develop scalable analytics solutions.

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Leverage Generative AI: Use tools such as Snowflake Cortex, Claude, and GitHub Copilot to automate workflows, streamline reporting, and improve productivity.

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Share Knowledge: Train and mentor colleagues on BI best practices and emerging Snowflake and Claude capabilities.

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Stay Current: Monitor developments in data analytics, business intelligence, and the sports betting and gaming industry to identify opportunities for improvement.

Requirements:

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:

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

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Strong SQL skills and experience querying and analyzing large datasets.

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

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

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

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

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

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

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

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

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

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

Benefits:

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Annual base salary: $128,250–$168,750 USD. The final range depends on the applicable geographic compensation zone and confirmed work location.

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Additional bonus compensation, as applicable.

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Access to a company benefits program, with details available through the employer's benefits resources.

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Opportunities to build a financial analytics function from scratch and take meaningful ownership of its architecture and delivery.

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Direct visibility with leadership and collaboration across finance, engineering, compliance, operations, and commercial teams.

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Exposure to modern analytics technologies and generative AI tools, with opportunities to improve workflows and influence BI best practices.

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Potential in-person interview or onboarding activities, including a multi-day cultural immersion in New York City for eligible full-time, non-seasonal hires. Specific participation and travel requirements will be confirmed during recruitment.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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