Strategic Finance Data Analyst (SaaS & Forecasting)

Jobgether SRL; Australia; Sur place; AUD 90 000 - 120 000; Plein temps

Résumé du poste

Jobgether SRL seeks a Finance Data Analyst based in Australia to transform complex financial data into actionable insights and scalable reporting. You will bridge Finance and technical teams, standardize metrics, and automate recurring analyses across finance, revenue, HR, and operations.

You will collaborate with data engineers to improve data quality, reporting processes, and forecasting. Prior experience in data analytics, finance concepts, and strong Excel/SQL skills are essential.

Qualifications

• 3+ years in data analysis, BI, FP&A analytics, or related roles.
• Strong analytical and problem-solving skills across multiple systems.
• SQL proficiency and experience with BI tools.
• Able to translate business questions into data requirements and metrics.
• Solid understanding of budgeting, forecasting, and monthly close.

Responsabilités

• Map and document data sources, ownership, definitions, and data flows.
• Identify data gaps and reconciliation issues across systems.
• Define data requirements for monthly close, budgeting, and forecasting.
• Transform and model data from warehouses for reliable datasets.
• Reconcile data across sources to improve reporting accuracy.
• Produce recurring financial analyses and dashboards for leadership.
• Collaborate with data engineering to improve integrations and data quality.
• Automate recurring reporting, reconciliations, and analytics workflows.
• Maintain data lineage, metrics definitions, and business rules.
• Support data governance and future AI-driven use cases.

Connaissances

SQL

Data visualization

Excel

Python

Data governance

Analytics

English fluency

Documentation & communication

Outils

Power BI

Tableau

Description du poste

Jobgether SRL seeks a Finance Data Analyst based in Australia to transform complex financial data into actionable insights and scalable reporting. You will bridge Finance and technical teams, standardize metrics, and automate recurring analyses across finance, revenue, HR, and operations.

You will collaborate with data engineers to improve data quality, reporting processes, and forecasting. Prior experience in data analytics, finance concepts, and strong Excel/SQL skills are essential.