Senior Business Data Analyst

This organization is seeking a talented data analyst to hold a senior level position and take on vital projects within a growing team.

The Senior Business Data Analyst performs routine business analysis using various techniques, e.g. statistical analysis, explanatory and predictive modeling, data visualization and data mining. Researches best practices and supports developing the solutions and recommendations for the current business operations.

Major Perks of this role include:

• Hybrid remote flexibility

• Access to resort amenities

• Incredible growth and career development potential

• Bonus opportunities

• Collaborative and inclusive culture

Duties & Responsibilities:

• Runs daily queries within the Enterprise Data Warehouse and other databases.

• Uses SQL/R/PYTHON/Alteryx/Tableau and/or other data tools to solve business problems.

• Partner with IT to support investigation of data quality issues within the EDW.

• Employs best practices to analyze large amounts of data while maintaining intense attention to detail.

• Develops reports and presentations to support solid conclusions regarding trends and findings with an ability to explain those findings to varying audiences

• Questions established business practices and brainstorms new approaches to data analysis.

Minimum Qualifications:

• A Bachelor's degree with STEM concentration.

• Must have at least 3-4 years of experience in data analytics and reporting using SQL, R, Python, Tableau, Alteryx and/or other tools.

• Must have in depth understanding of ONE functional areas, including knowledge of operational practices and P&L drivers.

• Must have exceptional oral and written communication skills.

• Strong business acumen, customer service skills, proactive, demonstrates enthusiasm, motivation and self-confidence is essential.

• Candidate must be a self-driven individual who can work on many concurrent projects and deliver results on each.

• Ability to research issues to resolution and attention to detail are essential.

Technical Skills (exposure to some/all of the following):

• Statistical methods and packages (e.g. Python/R)

• Business intelligence platforms (Tableau)

• SQL databases and database querying languages

• Data mining

• Data visualization and reporting techniques

• Machine learning techniques

• Revenue Optimization tools (Duetto)