Senior Data Analyst — Hospitality Workforce Planning

Cmc Markets Nz Ltd; Sydney; On-site; AUD 140,000 - 190,000; Full time

Benefits offered by this job

Discount card for venues and partner品牌

Health and wellbeing services

Learning and development opportunities

Exclusive partner discounts

Job summary

ALH Group is seeking a Senior Data Analyst for Workforce Planning, based in Sydney or Melbourne. You will lead analytics to drive predictive staffing, linking demand to optimal hours and cost efficiency. You’ll own data for advanced tooling discovery and support enterprise rostering improvements.

You’ll build segmentation, forecast labour needs, and translate complex results into practical actions for Venue Managers and SMEs, enabling data-led decision making across 350+ venues.

Qualifications

• Bachelor’s degree in Data Science, Mathematics, Economics, or related quantitative field.
• 5+ years hands-on experience in workforce analytics or planning.
• Experience with enterprise scheduling software (e.g., UKG) and demand-based rostering.
• Proficiency in Cloud platforms (GCP), SQL, and data visualization (Tableau).
• Experience building predictive forecasting models and applying advanced analytics (incl. AI).
• Ability to translate analytical results into practical recommendations for operations.

Responsibilities

• Deliver demand-based workforce planning across Australia’s hospitality network.
• Build venue segmentation and labour productivity benchmarks.
• Develop demand-forecasting models translating sales drivers into required labour hours.
• Assist in discovery and tooling development for advanced workforce planning.
• Translate insights into actionable guidance for Managers and SMEs.
• Support tracking of benefits and value post-implementation.

Skills

SQL

Data visualization

Forecasting models

AI basics

Python

Education

Bachelor’s degree in Data Science or related quantitative field

Tools

UKG

GCP

DBT

Tableau

Job description

ALH Group is seeking a Senior Data Analyst for Workforce Planning, based in Sydney or Melbourne. You will lead analytics to drive predictive staffing, linking demand to optimal hours and cost efficiency. You’ll own data for advanced tooling discovery and support enterprise rostering improvements.

You’ll build segmentation, forecast labour needs, and translate complex results into practical actions for Venue Managers and SMEs, enabling data-led decision making across 350+ venues.