Senior Finance BI Scientist

This is a fully remote position, open to applicants in California, +9 more states.

📋 Description

• Transform high-level financial objectives into functional prototypes, data models, and interactive analytics dashboards independently.

• Develop conceptual, logical, and physical data models to aggregate and organize data for enhanced reporting.

• Design and maintain visual dashboards (e.g., Tableau) to track KPIs, business performance metrics, and industry trends.

• Utilize AI tools to create SQL queries, establish data pipelines, and resolve technical challenges within a Snowflake data warehouse environment.

• Employ a high level of creativity to address data fragmentation challenges, leveraging AI to expedite normalization and data preparation processes.

• Ensure that standardized definitions of Finance KPIs are accurately reflected in the auditable outputs and final dashboards.

⛳️ Requirements

• Over 8 years of relevant experience with a Bachelor’s degree or more than 6 years of relevant experience with a Master’s degree in a related field (e.g., Finance, Statistics, Computer Science), or equivalent practical experience with a strong aptitude for technology.

• Proficiency in Full Stack Data: Data Ingestion, Data Modeling, BI Reporting Automation, and Analytics.

• Familiarity with data tools and programming languages: SQL, Python, Snowflake, and BI tools such as Tableau.

• Experience utilizing AI tools (including ChatGPT, Claude, Cortex Code) for application development, coding, or data set manipulation.

• Proven ability to act as a trusted advisor and serve as a bridge between data and insights for various finance stakeholders.

🏝️ Benefits

• Paid Time Off: accrued time off along with paid company holidays based on the region.

• Paid Parental Leave: take up to six months off with your child following birth, adoption, or foster care placement.

• Comprehensive Health Benefits Plans: options for health plans with 100% employer coverage and minimal employee contribution from day one of employment.

• Retirement Plans: selection of retirement and pension programs with potential employer contributions.

• Learning and Development: opportunities for coaching, online courses, and educational reimbursements.

• Compassionate Care Leave: paid time off following the loss of a loved one and during other life-altering events.