Senior Data Analyst - Finance Analytics

New

Location: New York, NY, United States Workplace Type: RemoteFull-TimeSenior

SalarySalary Range $128,250 — $168,750 USD. In addition to the base and bonus

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Job Details

Experience: 4+ years of experience in an analyst role within a fast-paced, high-growth environment
Required Skills: PostgreSQLSQLMicrosoft SQL ServerOracleSnowflakeBigQuerydbt

Have 4+ years of experience in an analyst role in a fast-paced, high-growth environment.
Have strong SQL skills and experience querying large datasets.
Have experience with one or more of Snowflake, BigQuery, MSSQL, Vertica, Presto, or PostgreSQL.
Have experience with dbt Core or dbt Cloud, including building models, transformations, and reports.
Be proficient with a BI or visualization tool such as Sigma, Tableau, or Looker.
Demonstrate end-to-end project ownership, including building projects from scratch.
Communicate requirements clearly with engineering teams and share insights and progress with non-technical stakeholders.
Work with strong accountability and autonomy.
Python for data wrangling and pipeline building is a nice to have.
Experience with GenAI tools such as Claude, ChatGPT, Snowflake Cortex, or GitHub Copilot is a nice to have.
Gaming, casino, or sports betting industry experience is a nice to have.
Startup or consulting background is a nice to have.
Experience working alongside finance teams as a data practitioner is a nice to have.

Build and maintain financial reporting infrastructure, including dashboards, recurring reports, and KPI tracking, for the new iCasino division.
Own data modeling in partnership with the analytics engineering team through final reporting in Sigma and Oracle.
Join and transform large, complex datasets using SQL, Snowflake, and dbt.
Surface insights about business operations and communicate findings to finance and business stakeholders.
Design and develop BI solutions in Sigma following industry best practices.
Help implement and maintain best practices for internal and external Sigma environments.
Collaborate with analysts and data engineers to solve business problems and build scalable solutions.
Use Snowflake Cortex, Claude, and GitHub Copilot to automate workflows and improve reporting efficiency.
Train and mentor others on BI best practices and newer Snowflake and Claude functionalities.

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