PowerBI Analyst - Sydney, Australia - ROBERT WALTERS AUSTRALIA

Description

PowerBI Analyst - Microsoft PowerBI/SQL/SSMS

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Contract type: TEMPORARY

Specialism: Information Technology

Focus: Business intelligence / data analytics

Salary: AUD60 - AUD70 per hour + Super + WFH Flex

Workplace Type: Hybrid

Experience Level: Entry Level

Location: Sydney

Contract type: TEMPORARY

Specialism: Information Technology

Focus: Business intelligence / data analytics

Industry: IT

Salary: AUD60 - AUD70 per hour + Super + WFH Flex

Workplace Type: Hybrid

Experience Level: Entry Level

Location: Sydney

Consultant: Scott Kyle

Job reference: /001

Date posted: 1 May 2024

• $60-$70 p/h + Super

The primary purpose of the PowerBI Analyst is to organise data governance and analytics efforts, leveraging
advanced data analytic tools and techniques to support organisational strategies and policy initiatives. Some work in data extract, transform and load operations will also be required.

• Be proficient in Microsoft Power BI, Microsoft SQL and Microsoft SSMS

• Have foundational experience in Microsoft Power App development

• Understanding of implementing access policies for both Microsoft Power BI and Power App solutions

Desireable Requirements

Key Accountabilities

• Lead data governance efforts, ensuring data collection, validation, and maintenance, and employ data
analytics for strategic support.

• Develop, maintain, and enhance Power BI reports, ensuring data accuracy, compliance, and relevance,
including advanced statistical modeling.

• Respond to stakeholder requests promptly, aligning with data sharing agreements, MoUs, and privacy
laws.

• Apply advanced statistical modeling and forecasting to create standard management and ad-hoc
reports supporting business operations.

• Participate in technical project management, embedding data governance in project planning and
execution.

• Perform data extraction, analysis, and reporting using Microsoft Power BI, Power Apps, and SQL,
addressing data anomalies.

• Foster and maintain collaborative relationships with cross-functional teams to meet data governance
and reporting goals.

• Provide timely and accurate data analysis to support decision-making, maintaining data security,
privacy, and regulatory compliance

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