Commerce Casino · 1 week ago

Senior Business Intelligence Analyst

Commerce, CA

Full-time

Onsite

Senior Level

$110K/yr - $140K/yr

6+ years exp

Wonder how qualified you are to the job?

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Insider Connection @Commerce Casino

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Analytics. Use analytical methods to discover and quantify potential opportunities from historical data.

Automated reporting. Develop and automate static reports and dashboards to meet business intelligence needs.

Data enablement. Develop foundations for business intelligence infrastructure to enable data citizenship. Provide continued mentorship to enable analysts partnered at the department level. Support business- and department-level ad hoc needs.

Tooling. In support of the above, integrate new external tools with existing capabilities and develop 'homemade' internal tools to meet team and business needs.

Product development. Share responsibility for exploratory data analysis, creation of product specs, and project management for business intelligence and analytics products.

Curation. Develop and maintain documentation and repositories for day-to-day materials in the team's shared cloud space and for production materials in professional repositories.

Research and development. Propose and develop an R&D channel to add value to the team and business.

Mentorship. Coach and guide junior- and mid-level analysts in their growth and skill development.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLTableauData WranglingAutomated ReportingData VisualizationSpreadsheetsCommunicationData AnalyticsBusiness IntelligenceMicrosoft Data StackAzureDatabricksPython

Required

Ability to comprehend and communicate in English

6+ years full-time as a data analyst, business analyst, business intelligence analyst, business intelligence engineer, or research/applied scientist

Knowledge of and experience with fundamentals of analytics, data wrangling, automated reporting, and data visualization

Fluency in SQL

Proficiency with Tableau

Proficiency with spreadsheets

Undergraduate education in data science or analytics, computer science, statistics, business, sciences, or equivalent relatable combination of work experience and certification