Data Analyst: Governance & Dashboards (Melbourne)

Tech Mahindra; City of Melbourne; On-site; AUD 90,000 - 120,000; Full time

Job summary

Tech Mahindra in Melbourne, VIC, is seeking a Data Analyst to turn complex data into actionable insights. You will investigate data issues, identify root causes, and develop reports and dashboards that meet business and regulatory needs.

The role combines data analysis with business analysis, requiring strong SQL skills, experience with BI tools, and collaboration with data engineers to model data and ensure quality and compliance across datasets.

Qualifications

• 4–7 years of experience as a Data Analyst.
• Strong SQL skills and experience with relational databases.
• Proficiency in BI tools such as Power BI, Tableau, or Qlik.
• Exposure to financial services, banking, or insurance data.
• Excellent analytical, problem solving, and communication skills.
• Understanding of data governance and regulatory reporting requirements.

Responsibilities

• Analyze and interpret complex datasets from multiple sources to derive actionable insights.
• Develop and maintain dashboards and reports to support business and regulatory requirements.
• Write and optimize SQL queries for data extraction, validation, and reporting.
• Collaborate with stakeholders to gather and understand reporting and analytics requirements.
• Ensure data quality, accuracy, and consistency across all datasets.
• Support initiatives related to risk management, compliance, customer insights, and financial reporting.
• Work closely with data engineers and architects to design and implement data models and pipelines.

Skills

Analytical thinking

SQL

Communication

Education

Bachelor's degree in Data Science/CS/IT

Tools

Power BI

Tableau

Qlik

Job description

Tech Mahindra in Melbourne, VIC, is seeking a Data Analyst to turn complex data into actionable insights. You will investigate data issues, identify root causes, and develop reports and dashboards that meet business and regulatory needs.

The role combines data analysis with business analysis, requiring strong SQL skills, experience with BI tools, and collaboration with data engineers to model data and ensure quality and compliance across datasets.