System Analyst

As a System Analyst at Sweed, you will be responsible for analyzing user requirements, designing data storage solutions, and validating reports and dashboards. This critical role ensures that all processes align with our business objectives and that your contributions directly impact our cannabis retail solutions.

For the System Analyst role at Sweed, candidates should have a minimum of three years' experience in system analysis, proficiency in SQL, and strong data warehouse knowledge. Additionally, familiarity with analytical databases and Python programming is advantageous.

Yes! At Sweed, we embrace a remote-first philosophy, allowing System Analysts to work fully remotely. You’ll be part of a collaborative culture that values flexibility and supports a healthy work-life balance.

The hiring process for the System Analyst position at Sweed includes an initial call with a recruiter followed by a combined technical interview with the Hiring Manager. This streamlined approach ensures that we find the right fit while respecting your time.

The probation period for the System Analyst position at Sweed lasts for three months. This period allows both the candidate and our team to assess the fit and ensure a successful working relationship.

Sweed offers a comprehensive benefits package for System Analysts, which includes 20 vacation days, three sick leave days, and medical insurance availability after the probation period. We also reimburse essential equipment such as laptops.

As a System Analyst at Sweed, you will work with various modern data stack tools and technologies. You'll gain experience with SQL databases, ETL testing using Python, and analytical platforms, which are vital for your role in driving insights for our product.

To gather and analyze requirements effectively, start by engaging with end-users through interviews and surveys. Document their needs thoroughly. Use this information to create requirement specifications and prioritize them based on business impact before presenting to development teams.

To ensure alignment between business requirements and technical solutions, maintain clear communication throughout the project lifecycle. Regularly involve stakeholders for feedback and ensure that changes are discussed openly with developers. This collaborative approach can prevent misunderstandings.

Discuss specific data warehousing projects you’ve been involved in, focusing on your role, the challenges faced, and the technologies used. Highlight your understanding of data modeling techniques, ETL processes, and how you ensured data quality and accuracy.

To validate reports and dashboards, implement a structured review process involving stakeholders. Create test cases that reflect actual business scenarios and gather user feedback during testing phases. This ensures that the final outputs meet user expectations and specifications.

Share a relevant challenge, detailing the problem, your approach to analyze it, and the steps you took to resolve it. Emphasize your analytical skills and decision-making process, as well as any lessons learned that could improve future project outcomes.

SQL is essential as it allows a System Analyst to extract, manipulate, and analyze data effectively. Discuss how you've used SQL in your previous projects to generate reports or support business decision-making.

When handling multiple projects, prioritize tasks based on urgency and impact. Utilize project management tools to track progress and deadlines, and communicate with your team to ensure alignment on priorities and manage expectations.

When designing storage components, consider factors such as data volume, query performance requirements, and scalability. Ensure to choose appropriate database models and architectures that align with the objectives of the data warehousing project.

Share your experience with Python, focusing on how you've used libraries like Pandas and Matplotlib for data analysis and visualization. Discuss specific projects where Python was instrumental in driving insights and supporting decision-making.

For effective communication with developers, adopt a collaborative approach by being clear and concise in your requirements. Foster an environment of feedback, use visual aids when necessary, and ensure all stakeholders are aware of timelines and expectations to facilitate smooth project execution.