Data Analyst

IQVIA

Brisbane

2 days ago

Brisbane

2 days ago

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Data Analyst

Data Analyst needed for a 12-month part-time contract (22.8 hrs/week) based in Brisbane. Responsibilities include collecting, validating, and interpreting pharmaceutical sales data, producing reports, and supporting decision-making. Requires a Bachelor's degree in pharmacy/medical data, community or hospital pharmacy experience, Python and SQL proficiency, and Australian working rights.

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Hybrid

Part-time

Entry Level

Python

SQL

Salary

Not specified

Work Location

Brisbane, Queensland, Australia, AU

Work Model

Hybrid

Experience Required

2 years

Employment Type

Part-time

Experience Level

Not Applicable

Contract Length

12 months

Core Qualifications

Technical (Must-have)

PythonSQLMicrosoft ExcelMicrosoft PowerPointMicrosoft WordMicrosoft Access

Soft Skills

time managementteamwork

Key Responsibilities

•Perform quantitative and qualitative analysis of pharmaceutical sales data.
•Identify, interpret, and communicate trends, patterns, and exceptions across products, brands, therapeutic areas, sales channels, and geographies.
•Develop impact assessments by combining sales data with pharmaceutical market and operational knowledge.
•Translate business and client requirements into report and analysis specifications.
•Produce validated datasets, standard and ad-hoc reports using enterprise reporting systems and analytical tools.
•Verify data accuracy, completeness, and consistency through structured quality checks and reconciliations.
•Manipulate, transform, and aggregate data to support robust analysis and efficient reporting.
•Investigate and resolve data anomalies through root-cause analysis and corrective actions.
•Identify opportunities for process improvement, automation, and standardisation.

Data AnalystPharmaceuticalHealthcarePart-timeContractPythonSQLBrisbaneIQVIA

Key Responsibilities

•Perform quantitative and qualitative analysis of pharmaceutical sales data.

•Identify, interpret, and communicate trends, patterns, and exceptions across products, brands, therapeutic areas, sales channels, and geographies.

•Develop impact assessments by combining sales data with pharmaceutical market and operational knowledge.

•Translate business and client requirements into report and analysis specifications.

•Produce validated datasets, standard and ad-hoc reports using enterprise reporting systems and analytical tools.

•Verify data accuracy, completeness, and consistency through structured quality checks and reconciliations.

•Manipulate, transform, and aggregate data to support robust analysis and efficient reporting.

•Investigate and resolve data anomalies through root-cause analysis and corrective actions.

•Identify opportunities for process improvement, automation, and standardisation.