Senior Data Insights Engineer

Insight Timer; Warrnambool; On-site; AUD 90,000 - 120,000; Full time

Job summary

Insight Timer in Warrnambool seeks a Senior Data Analyst to join our team to analyze complex data sets, identify trends, and provide actionable insights to support business decisions.

You will build data models, dashboards, and reports, collaborate with cross-functional teams to identify business needs, and communicate findings clearly while upholding data quality and governance practices.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in data analysis, data modelling, and data visualisation.
• Strong analytical and problem-solving skills.
• Proficiency in SQL, Python, R, and other data analysis tools.
• Experience with data visualisation tools such as Tableau, Power BI, or QlikView.
• Excellent communication and presentation skills.
• Ability to work independently and as part of a team.

Responsibilities

• Analyse large and complex data sets to identify trends, patterns, and insights
• Develop and maintain data models, dashboards, and reports to support business decisions
• Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
• Communicate findings and insights to stakeholders in a clear and concise manner
• Develop and implement data quality and data governance processes to ensure accuracy and consistency of data
• Stay up-to-date with industry trends and best practices in data analysis and visualization

Skills

SQL

Python

R

Data analysis

Data modelling

Data visualisation

Communication

Education

Bachelor's degree in Computer Science/Statistics/Mathematics

Tools

Tableau

Power BI

QlikView

Job description

Insight Timer in Warrnambool seeks a Senior Data Analyst to join our team to analyze complex data sets, identify trends, and provide actionable insights to support business decisions.

You will build data models, dashboards, and reports, collaborate with cross-functional teams to identify business needs, and communicate findings clearly while upholding data quality and governance practices.