Business Intelligence (BI) Intern – SYSPRO

SYSPRO is looking for a Business Intelligence (BI) Intern to support its analytics team in turning business data into useful insights and decisions.

The role provides exposure to reporting, dashboards, data preparation, AI-assisted analysis and machine learning concepts. You will work with data from multiple sources and help transform business questions into reports and insights that can be understood and used by both technical and non-technical stakeholders.

The role also provides an opportunity to gain practical experience using AI-assisted tools as part of everyday analytics and reporting.

Who Should Apply?

This opportunity is suited to graduates or students with a degree or diploma in Data Science, Information Systems, Statistics or a related field who are interested in business intelligence, data analytics and the application of AI to business data.

Candidates who have some practical exposure to SQL, BI platforms or AI/ML projects may be particularly well suited to the role.

Business Intelligence & Reporting

• Build and maintain reports and dashboards using SYSPRO's BI tools.
• Turn business questions into queries and meaningful reports.
• Present analytical findings in a way that non-technical stakeholders can understand and act upon.

Data Preparation & Analysis

• Clean, model and validate data from multiple sources.
• Analyse datasets to identify meaningful patterns and trends.
• Look beyond individual numbers to understand the wider story within the data.

AI & Machine Learning

• Apply AI and machine learning techniques to business data.
• Identify patterns, forecasts and anomalies that may support business decision-making.
• Use AI-assisted tools such as Copilot, Power BI AI features or similar technologies to improve the speed and efficiency of analysis and reporting.

Collaboration

• Work alongside the analytics team.
• Partner with product and customer teams to understand business questions.
• Translate business requirements into queries, reports and useful insights.

Qualifications

• Degree or diploma in:
  • Data Science
  • Information Systems
  • Statistics
  • A similar or related field

Technical Skills

• Working knowledge of SQL.
• Exposure to a BI tool such as Power BI, Tableau or similar is advantageous.
• Some exposure to AI/ML concepts or tools, including through learning or academic projects.

Personal Attributes

• Ability to identify the story and meaning behind a dataset, rather than focusing only on individual numbers.
• Genuine interest in manufacturing and distribution data.
• Ability to communicate findings to non-technical stakeholders.

What You Should Prepare Before Applying

Before applying, make sure your CV clearly highlights:

• Your relevant degree or diploma.
• SQL knowledge and any projects where you used SQL.
• Power BI, Tableau or other BI experience.
• Any AI/ML coursework, projects or practical exposure.
• Data analysis or dashboard projects.
• Examples of how you have interpreted data and communicated findings.
• Academic or personal projects involving business, manufacturing, distribution or analytics data, where applicable.

If you have created dashboards or data-analysis projects, consider including them in a portfolio or linking to relevant project work where appropriate.

What You Could Expect

Based on the advertised responsibilities, the internship provides exposure to:

• Business intelligence reporting and dashboards.
• Data cleaning, modelling and validation.
• SQL and data querying.
• AI-assisted analytics.
• Machine learning applications in business data.
• Identifying patterns, forecasts and anomalies.
• Working with product and customer teams.
• Communicating analytical findings to non-technical stakeholders.
• Manufacturing and distribution-related business data.

Benefits and Workplace Offerings

The advert specifically lists the following workplace benefits:

• Free barista coffee daily
• Gym facilities
• Free daily lunch
• Free fruit on Tuesdays and Thursdays

Application Process

If applying through the employer's official recruitment platform:

1. Review the role and confirm that you meet the stated requirements.
2. Prepare an updated CV highlighting your data, BI, SQL and AI/ML exposure.
3. Include relevant academic or personal projects where appropriate.
4. Submit your application through the employer's official application platform.
5. Ensure that your contact details and academic information are accurate.
6. Keep a copy of your submitted application for your records.

Note: An official application link and closing date were not provided in the vacancy information supplied.

Before You Apply

Check that you can demonstrate:

• A relevant degree or diploma.
• Working knowledge of SQL.
• Some exposure to BI tools.
• Some exposure to AI/ML concepts or tools.
• Interest in data analytics and business intelligence.
• Ability to communicate data findings clearly.
• Interest in manufacturing and distribution data.

Vacancy Portal's Application Tip

For a BI internship, don't only list the technologies you know. Show what you have actually done with data.

For example, instead of simply writing “Power BI” on your CV, explain a project where you cleaned data, created a dashboard, identified a trend and presented the finding.

If you have academic projects involving SQL, Power BI, Python, statistics, machine learning or AI, make these easy to find on your CV. Even small projects can demonstrate your ability to turn raw data into something useful.

Source / Official Application

Employer: SYSPRO
Role: Business Intelligence (BI) Intern

The vacancy information was supplied by the employer. An official application link was not included in the information provided.

Disclaimer

Vacancy Portal provides this vacancy information for job seekers and career research purposes. Applicants should verify the latest requirements, application instructions, closing date and other vacancy details on the employer's official recruitment platform before applying. Vacancy Portal is not the recruiting employer and does not guarantee interviews, employment or selection.