Product Analyst

As a Product Analyst at GWI, your main responsibilities will involve collaborating with product management and engineering teams, delivering insightful data analysis reports, and identifying key improvement areas based on your findings. You'll also play a role in optimizing existing data models and ensuring effective communication of technical insights to non-technical stakeholders.

GWI is looking for candidates with demonstrable experience in working closely with product teams, preferably within the SaaS industry. Proficiency in SQL and familiarity with Python is essential, along with knowledge of data visualization tools and cloud platforms. An operational mindset for constant improvement and excellent communication skills are also crucial.

The work environment for a Product Analyst at GWI is hybrid, letting you enjoy a balance of office and remote work. You'll be part of a fast-paced, growing company where flexibility and adaptability are valued, and your contributions genuinely matter.

In your role as a Product Analyst at GWI, you'll be using various tools including SQL for data querying, Python for analysis, and data visualization platforms such as Mixpanel, Tableau, or Power BI to present your insights effectively. Familiarity with cloud platforms like AWS or Google Cloud will also be beneficial.

At GWI, we emphasize values such as thinking big, seeking improvement, and showing respect at all levels. As a Product Analyst, you'll embody these values in your work, contributing to a collaborative culture that encourages innovation and continuous development.

Discuss specific projects where you've collaborated with product managers. Highlight how you analyzed data to influence product decisions and the communication strategies you employed to ensure alignment among teams.

Talk about your methods for assessing the urgency and impact of each request. You might describe how you consider stakeholders' needs, deadlines, and the potential effects on product development in your prioritization process.

Mention specific tools you’ve worked with and provide an example of a project where you used visualization to convey complex data insights. Explain how these visualizations helped stakeholders make informed decisions.

Share a case study where your data analysis unearthed trends or insights that prompted a product modification. Define the problem, your analytical methods, and the outcome of the changes implemented.

Explain your approach to simplifying complex technical jargon, using analogies, and structuring your presentations to focus on actionable insights. Mention any tools or formats you prefer for effective communication.

Discuss your openness to feedback, your strategic approach to incorporating it into your future work, and an example illustrating how feedback improved your analysis or reporting style.

Share your background using SQL for database queries and Python for data manipulation or analysis. Provide examples of how these skills contributed to project outcomes in past roles.

Describe your processes for validating data sources, cleaning data, and conducting cross-referencing with other datasets to confirm accuracy before analysis.

Express your passion for data and problem-solving, and share specific methods you use to stay updated on industry trends, such as online courses, webinars, or networking with industry professionals.

Connect your professional aspirations with GWI's mission and values. Discuss how GWI’s commitment to diversity, quality work, and impactful data excited you and aligns with your career goals.