Data Management Analyst

Atrium Hospitality

Data Management Analyst monitoring pipelines, validating warehouse data, and improving governance for Atrium Hospitality, a U.S. hotel management company.

Posted 8/18/2026full-timeRemote • 🇺🇸 United StatesJunior💰 $60,000 - $65,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and engineering support, with a strong focus on SQL troubleshooting, Python scripting, and data governance. Proficient in monitoring and maintaining data pipelines using tools like Prefect and Snowflake to ensure data quality and operational efficiency.

Highest-signal resume keywords

SQL TroubleshootingPython ScriptingData GovernancePrefect OrchestrationSnowflake Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData Engineering SupportQAData OperationsSQLPythonData Quality ValidationWorkflow AuditingAlerting ScriptsMonitoring Pipelines

Soft Skills

Clear CommunicationPrioritization Skills

Tools & Technologies

PrefectSnowflakeWhereScape REDTask SchedulerTableauMCP ServersAI-driven Analytics

Industry Keywords

Data GovernanceHospitality DataData Quality StandardsChange Management

Tech Stack

Tools & technologies

AirflowPythonSQLTableau

About the role

Key responsibilities & impact

Monitor reporting pipelines in Prefect, Task Scheduler, Snowflake, and WhereScape RED and catch failures before they reach dashboards
Build and maintain alerts, scripts, and trackers for late jobs, failed runs, and data quality issues
Validate data from source through transformation into the warehouse
Triage pipeline, vendor, and reporting issues and provide recommendations for Snowflake, WhereScape, or Python
Partner with data engineers and BI developers to fix defects and expand monitoring
Maintain architecture and troubleshooting documentation
Audit workflows against naming, documentation, and quality standards
Maintain the pipeline catalog as a data governance steward
Set up and maintain MCP servers and semantic-layer metadata supporting AI-driven analytics

Requirements

What you’ll need

1–3 years of experience in data analysis, data engineering support, QA, or data operations
SQL troubleshooting skills, including reading queries, validating output, and diagnosing warehouse-level issues
Comfort with Python for reading pipeline and alerting scripts and proposing edits
Familiarity with orchestration tools such as Prefect, Airflow, or similar
Data governance mindset covering documentation, data quality, access, and change management
Clear communication and prioritization skills
Snowflake experience strongly preferred
Tableau, WhereScape, hospitality data, and MCP or AI-layer exposure are pluses

Benefits

Comp & perks

Career Growth & Learning – 40% of management hires are internal promotions
401(k) plan with company match
Medical, dental, and vision insurance options
Paid time off and vacation
Atrium Traveler and brand discount programs
DailyPay
Wellness programs
Tuition reimbursement
Exclusive discounts on brands and services
Community service and volunteer programs