Intern Home Trial Engineer - Test Engineer

Luxoft Australia

Sydney

On-site

AUD 70,000 - 90,000

Full time

14 days+

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Job summary

Luxoft Australia is seeking curious and analytical Graduate Engineers to join our Field Performance Trials team in Sydney. You will work at the intersection of software, connected products, consumer insights, and product performance, evaluating products in real-world environments and generating insights that influence future development.

You will collaborate with engineers, data analysts, product teams, and regional stakeholders to improve product performance and customer experience while

Qualifications

  • Technical: programming experience Python/SQL or similar.
  • Understanding of software development fundamentals.
  • Familiarity with data analytics and visualization tools (Tableau/PowerBI).
  • Strong problem-solving and troubleshooting skills.
  • Analytical: interpret data and identify insights.
  • Structured and logical thinking with attention to detail.
  • Strong written and verbal communication; cross-functional collaboration.

Responsibilities

  • Support consumer and field performance trials.
  • Onboard participants and triage issues.
  • Monitor product performance during trials.
  • Track and investigate customer-reported issues.
  • Develop dashboards and reports to communicate findings.
  • Analyze trial data to identify trends and insights.
  • Assist in reproducing and documenting defects.
  • Explore opportunities to automate data analysis and reporting.

Skills

Python
SQL
Data analytics
Tableau
PowerBI
Troubleshooting
Analytical thinking
Communication
Structured thinking
Attention to detail

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:
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