Project Data Analyst

As a Project Data Analyst at ALDI, your primary responsibilities include cleaning and aggregating large datasets, creating reports that highlight business insights, and identifying opportunities for process optimizations within the National Buying projects. You will also collaborate closely with cross-functional teams to address their data needs and apply project management frameworks effectively to ensure operational goals are achieved.

To qualify for the Project Data Analyst position at ALDI, candidates should have a strong competency in SQL, along with demonstrated analytical experience and knowledge of data visualization tools. Moreover, applicants should possess excellent problem-solving skills, attention to detail, and the ability to convey technical concepts clearly to relevant stakeholders.

At ALDI, the Project Data Analyst role supports a flexible hybrid work model, which allows you to balance remote work with being in the office. This setup ensures you can manage your responsibilities efficiently while enjoying the benefits of collaboration with your team members when necessary.

ALDI offers Project Data Analysts an attractive package, including 5 weeks of annual leave, paid parental leave with superannuation, complimentary physiotherapy access, and wellness programs featuring discounted gym memberships. This reflects ALDI's commitment to employee well-being and work-life balance.

The team culture at ALDI is built on camaraderie and collaboration. As a Project Data Analyst, you’ll work alongside dedicated professionals who are eager to support your growth while celebrating each other's successes. ALDI has been recognized as an Employer of Choice, making it a great place for individuals looking to make a genuine difference.

When answering this question, detail your specific experience using SQL in past projects. Mention the types of queries you've executed, how you have managed datasets, and any tools you've integrated SQL with to solve data-related problems. Providing examples will convey your practical knowledge effectively.

In response to this question, share your approach for cleaning, aggregating, and analyzing large datasets. Discuss specific tools you have used for data processing and how you ensure data integrity and accuracy in your reports.

Use the STAR (Situation, Task, Action, Result) method to frame your answer. Describe a specific scenario where you analyzed data, identified inefficiencies, and proposed solutions that led to measurable improvements in processes.

When preparing your answer, list the data visualization tools you’ve used, such as Tableau, Power BI, or others. Discuss how you've utilized these tools to communicate insights effectively and the impact it has had on decision-making processes in your previous roles.

Discuss your strategies for task prioritization, such as using project management tools or techniques like the Eisenhower matrix. Providing a concrete example will demonstrate your ability to manage multiple priorities effectively.

Share a specific example where you successfully conveyed a complex technical idea to an audience not familiar with the terminology. Emphasize your ability to translate technical jargon into clear, understandable terms and the positive outcome of that communication.

Explain the verification methods you utilize to ensure data integrity, such as cross-referencing data sources, validating input accuracy, and implementing automated checks. Elaborate on how these practices contributed to high-quality outputs in your previous experiences.

Describe your experience with popular project management frameworks such as Agile, Scrum, or Waterfall. Provide examples of how these frameworks have played a role in managing your projects effectively and meeting operational goals.

Explain your teamwork philosophy, focusing on collaboration and open communication. Share an example of how you worked with a cross-functional team to achieve common goals and how you contributed to maintaining a positive work environment.

Discuss your passion for data analysis and how it drives you to uncover insights that can inform business decisions. Emphasize your excitement about solving problems and making a tangible impact on the organization as a whole.