Senior Product Analyst (Growth)

As a Senior Product Analyst (Growth) at SIMPLE, your primary responsibilities include conducting AB tests to drive product innovation, building comprehensive reports on current and new app functionalities, and identifying potential growth points for the application. You'll also improve our analytical infrastructure and monitor ongoing metrics to ensure data quality in reporting.

To qualify for the Senior Product Analyst (Growth) position at SIMPLE, you should possess strong technical skills in SQL, Python, and BI tools such as Looker or Superset. A solid understanding of mathematical statistics is essential. Additionally, excellent communication skills are necessary as you will work with various teams to clearly convey your insights and findings.

SIMPLE offers a competitive salary package along with the flexibility to work remotely, in-office, or in a hybrid setup. Additional benefits include a relocation package for Cyprus, necessary equipment for your role, a premium subscription to the SIMPLE app, 21 days of annual leave plus observed bank holidays, and support for English language learning, if desired.

At SIMPLE, expect a company culture that prioritizes data-driven decisions, rapid results, and a supportive team environment. We encourage team members to take ownership of their roles, push the limits of conventional thinking, and collaborate as a championship team, striving for collective success and growth in the digital health market.

SIMPLE is committed to the professional growth of our employees. As a Senior Product Analyst (Growth), you’ll be encouraged to learn continuously, access career development resources, and receive mentorship from senior leadership. We celebrate innovation and exploration, empowering you to take risks that can lead to breakthroughs in product development.

In your response, detail your understanding of the AB testing process, ensuring you highlight the importance of formulating clear hypotheses, selecting appropriate metrics to measure success, and analyzing results meticulously. Mention any relevant experiences you've had with A/B testing and how they led to actionable insights.

Discuss your strategies for validating raw data, cross-checking metrics against known benchmarks, and continually monitoring data quality. Mention tools and methodologies that you commonly use to maintain high standards in your analyses.

Explain your analytical process for identifying growth opportunities, such as user behavior analysis, market research, or competitor benchmarking. Provide examples from past experiences where your insights led to successful product enhancements or marketing strategies.

Highlight your communication skills by sharing examples of how you simplify complex data insights into understandable terms, using visuals or diagrams when necessary, and tailoring your message based on your audience’s background.

Provide a scenario where you successfully worked with diverse teams such as product, design, or marketing to achieve a common goal. Emphasize the importance of collaboration and how you navigated differing perspectives to reach a consensus.

Share your methods for keeping up with industry trends, such as subscribing to relevant publications, participating in webinars, or being active in professional networks. Mention how you apply this knowledge to your work as a Senior Product Analyst.

Discuss the specific data visualization tools you have experience with, like BI tools (e.g., Looker, Tableau) and why you find them effective for presenting insights. Highlight how these tools have facilitated better decision-making in previous roles.

When answering, discuss your approach to prioritization, which might include assessing project impact, deadlines, and resource availability. Share examples of how effective prioritization has led to successful project completion in your experience.

Provide an overview of your SQL experience, including how you use SQL for data extraction, analysis, and manipulation. Discuss particular projects where your SQL skills led to significant insights or efficiencies.

Share your experiences in presenting data, focusing on how you engage your audience, structure your findings, and respond to feedback. Highlight your ability to convey not just the data points but also the implications for business strategy.