Data Analyst 2

Temple Square Hospitality Corporation • Salt Lake City, UT

42d

About The Position

Leverage data from multiple trusted sources to deliver timely, accurate, and actionable insights that support strategic decision-making and drive operational excellence across the organization. Deliver accurate, timely, and actionable insights by integrating data from multiple trusted sources to support strategic decisions and operational excellence.

Requirements

• BS/BA Degree in Information Systems, Data Science, or Computer Science or a related field.
• Minimum 2 years in multi-system data validation, quality assessment, and dashboard/report configuration.
• Intermediate proficiency in Power BI and SQL.
• Familiarity with data governance frameworks and compliance standards.
• Strong problem-solving and debugging abilities.
• Ability to work independently and collaboratively.
• Skilled in data storytelling and presentation.
• Comfortable working in a fast-paced environment with shifting priorities
• Data Understanding: Define data sources, capture methods, and consumption pathways.
• Data Quality Assessment: Ensure accuracy, validity, and compliance with standards.
• Data Organization: Model and structure data for accessibility and usability; create data warehouses.
• Reporting & Storytelling: Build dashboards and reports that are actionable and measurable.
• Security & Governance: Manage user access, ensure compliance, and provide guidance on data use.
• Collaboration & Communication: Effectively communicate insights and recommendations to technical and non-technical audiences.

Nice To Haves

• Knowledge of Python/R for advanced analytics.
• Microsoft Certified: Data Analyst Associate, CDMP, or equivalent.

Responsibilities

• Integrate structured and unstructured data from multiple systems for standardized dashboards and reporting.
• Perform ad hoc and deep- dive analyses to uncover actionable insights.
• Validate and maintain data quality, including completeness, reliability, and uniqueness.
• Develop predictive/statistical models and advanced queries to support business needs.
• Translate complex data into compelling visualizations and narratives that drive informed decisions.
• Collaborate with cross-functional teams to understand data needs and deliver tailored solutions

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees