Intern Home Trial Engineer

Luxoft; Australia; On-site; AUD 60,000 - 76,000; Full time

Job summary

Luxoft in Australia is seeking curious and analytical Graduate Engineers to join our Field Performance Trials team. You will help evaluate products in real-world environments, analyze product data, investigate issues, support consumer trials, and generate insights that influence future product development.

You will work closely with engineers, data analysts, product teams, and regional stakeholders to improve product performance and customer experience, and you will develop dashboards and

Qualifications

• Strong analytical mindset and willingness to learn
• Programming experience in Python and SQL is preferable
• Familiarity with data analytics and visualization tools (Tableau, PowerBI) is desirable
• Strong problem-solving and troubleshooting skills
• Analytical thinking and ability to interpret data to identify insights
• Structured and logical thinking with great attention to detail
• Excellent written and verbal communication, able to work with cross-functional stakeholders

Responsibilities

• Product & Trial Support: Assist with consumer and field performance trials and onboarding.
• Data Analytics & Insights: Analyze trial data to identify trends, develop dashboards and reports.
• Software & Connected Products: Collect and analyze diagnostic logs; support software/firmware validation and defect reproduction.
• AI & Automation: Explore opportunities to automate data analysis and reporting and develop scripts to improve efficiency.

Skills

Python

SQL

Data analytics

Problem-solving

Analytical thinking

Structured thinking

Attention to detail

Communication

Cross-functional collaboration

Tools

Tableau

PowerBI

Job description

• We are looking for curious and analytical Graduate Engineers to join our Field Performance Trials team.
• This role provides a unique opportunity to work at the intersection of software, connected products, consumer insights, and product performance. You will help evaluate products in real-world environments, analyze product data, investigate issues, support consumer trials, and generate insights that influence future product development.
• You will work closely with engineers, data analysts, product teams, and regional stakeholders to improve product performance and customer experience.

Responsibilities:

• Product & Trial Support
• Support execution of consumer and field performance trials.
• Assist with participant onboarding and issue triage.
• Monitor product performance during trials.
• Track and investigate customer-reported issues.
• Data Analytics & Insights
• Analyze product usage and trial data to identify trends and patterns.
• Develop dashboards and reports to communicate findings.
• Generate actionable insights from consumer feedback and product data.
• Support root cause investigations using data-driven approaches.
• Software & Connected Products
• Collect and analyze diagnostic logs from connected products.
• Support software and firmware validation activities.
• Investigate software-related issues observed during trials.
• Assist in reproducing and documenting defects.
• AI & Automation
• Explore opportunities to automate data analysis and reporting.
• Support development of scripts and tools to improve team efficiency.
• Apply AI and data science techniques to improve insight generation.

Mandatory Skills Description:

• Technical
• Programming experience in Python, SQL, or similar languages is preferable.
• Understanding of software development fundamentals.
• Familiarity with data analytics and visualization tools(e.g. Tableau, PowerBI) is desirable.
• Strong problem-solving and troubleshooting skills.
• Analytical
• Ability to interpret data and identify meaningful insights.
• Structured and logical thinking.
• Strong attention to detail.
• Communication
• Ability to communicate technical findings clearly.
• Comfortable working with cross-functional stakeholders.
• Strong written and verbal communication skills.

Nice-to-Have Skills Description:

• Experience through university projects, internships, personal projects, or research involving: