Finance Data Specialist

Megaport

. Design, develop and maintain IBM Planning Analytics (TM1) models supporting budgeting, forecasting, consolidation and management reporting .

Posted 10/23/2026full-timeBrisbane • AustraliaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in IBM Planning Analytics (TM1) and Power BI, with strong capabilities in data modeling, financial reporting, and data governance. Proficient in SQL and familiar with cloud data platforms, ensuring effective data management and analysis in finance contexts.

Highest-signal resume keywords

IBM Planning Analytics / TM1 AdministrationPower BI DevelopmentSQL Data ManagementData Governance and SecurityFinancial Data Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

IBM Planning AnalyticsTM1TurboIntegratorPower BIDAXPower Query (M)SQLDatabricksData ModelingData Reconciliation

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsAttention to Detail

Tools & Technologies

DatabricksERP SystemsHRIS PlatformsGit

Certifications & Qualifications

PL-300DP-600IBM Planning Analytics Certifications

Industry Keywords

BudgetingForecastingConsolidationFinancial StatementsGeneral LedgerMulti-Currency

Tech Stack

Tools & technologies

CloudERPPySparkPythonSQL

About the role

Key responsibilities & impact

Design, develop and maintain IBM Planning Analytics (TM1) models supporting budgeting, forecasting, consolidation and management reporting
Build and maintain TurboIntegrator processes and chores for data loads, model maintenance and automation
Administer the Planning Analytics environment, including security, configuration, backups, performance tuning and upgrades
Develop and maintain Planning Analytics Workspace books and views and support Planning Analytics for Excel users
Support planning and forecasting cycles, including setup, data preparation, model changes and issue resolution
Design, build and maintain Power BI semantic models, reports and dashboards
Develop Power Query (M) and DAX data models using star-schema best practices
Implement row-level security, workspace structures, deployment pipelines, refresh schedules and gateways
Gather Finance reporting requirements and translate them into reporting solutions
Act as finance data owner and subject-matter expert for Databricks finance datasets
Partner with the Data team on requirements, business logic and data definitions
Develop and maintain SQL views and finance-specific models in the curated reporting layer
Validate datasets and monitor finance data completeness and timeliness
Own finance data flows between source systems, Databricks, TM1 and Power BI
Design reconciliation and data quality checks tied to the general ledger and source systems
Maintain finance master data and mappings across platforms
Investigate and resolve data discrepancies
Maintain documentation, provide Finance user support and training, and identify automation and performance improvements
Contribute to finance systems and data projects and work with vendors and partners

Requirements

What you’ll need

Bachelor's degree in Information Systems, Computer Science, Finance, Accounting or a related field
3+ years' hands-on experience developing and administering IBM Planning Analytics / TM1, including cubes, rules, feeders, TurboIntegrator processes, security and PAW
3+ years' experience developing Power BI solutions, with strong DAX, Power Query (M) and data modelling skills
Strong SQL skills and experience with Databricks or a comparable cloud data platform (e.g. Snowflake, Synapse, Fabric)
Familiarity with Python / PySpark is advantageous
Experience working with data engineering teams, including writing clear data requirements and specifications
Solid understanding of finance data and processes, including general ledger structures, financial statements, budgeting and forecasting, consolidation and multi-currency
Experience sourcing and modelling data from ERP systems and HRIS platforms
Experience designing data reconciliation and data quality controls
Understanding of data governance, security and access control in a finance context
Familiarity with Git and structured development, testing and release practices
Strong analytical and problem-solving skills with close attention to detail
Excellent communication skills and ability to explain technical concepts to non-technical users
Relevant certifications are advantageous, such as PL-300, DP-600, or IBM Planning Analytics certifications

Benefits

Comp & perks

Collaborative, supportive, and fun work environment
Work across time zones with global teams
Inclusive workplace welcoming applicants from all backgrounds