Insights Analyst

As an Insights Analyst at Chattermill, you will conduct extensive data analysis using our in-house platform to extract actionable insights for our clients. You’ll directly support our Experience Led Growth Consultants by delivering high-quality, timely data-driven insights that help improve customer experiences. Your role will involve creating insightful dashboards and presentations and engaging with clients to share your findings, making your contributions essential to client growth and satisfaction.

To excel as an Insights Analyst at Chattermill, you'll need strong data analysis skills, particularly with qualitative and quantitative data. Experience with data analysis tools, plus the ability to communicate complex concepts clearly to non-technical audiences are key. We value attention to detail, a structured problem-solving approach, and collaboration. Finally, confidence in presenting insights to clients will set you apart in this role.

The hiring process for the Insights Analyst position at Chattermill begins with an introductory call with our People & Talent team to understand your background and aspirations. You'll then complete a data analysis task to showcase your skills. Following that, you’ll have a conversation with our CSO and your potential team members to discuss your task and experience. Finally, a call with our co-founder will ensure we align on values and career goals.

As an Insights Analyst at Chattermill, you will have ample opportunities for growth, including a tailored Learning & Development budget that increases with your tenure. You’ll also gain firsthand experience working with high-profile clients and contributing to impactful projects, enhancing your skill set in data analysis and customer experience. Our culture emphasizes collaboration and personal development, ensuring that your career progresses as we grow.

Chattermill boasts a vibrant company culture that prioritizes collaboration, trust, and continuous feedback. As an Insights Analyst, you'll be part of a team that is passionate about customer experience and dedicated to personal and professional growth. We encourage diversity and inclusion, welcoming all perspectives and backgrounds, which enriches our workplace and drives our innovative spirit.

When tackling data analysis, I prioritize understanding the problem at hand and defining clear objectives. I start by collecting relevant data and using analytical tools to uncover trends and insights. It’s crucial to continually check my findings against qualitative data to ensure they are actionable and practical for clients.

Definitely! In a previous project, I analyzed customer feedback for a major retail client. By identifying key pain points, I presented my findings in a visual dashboard that highlighted actionable steps to improve their customer experience, leading to a 15% increase in their Net Promoter Score after implementation.

I am well-versed in several data analysis tools, including Chattermill’s platform, Excel, and data visualization software like Tableau. I'm always eager to learn new tools, as the tech landscape is constantly evolving, and I believe in staying ahead of the curve.

To manage tight deadlines, I prioritize my tasks based on urgency and impact. I break the project into smaller milestones, set achievable deadlines for each, and communicate effectively with my team to ensure we remain aligned. This structured approach allows me to deliver quality work while meeting tight timeframes.

To communicate complex data insights effectively, I focus on storytelling. I relate the data to real-world scenarios and use visuals to simplify concepts. Additionally, I try to connect the findings to the audience's interests or challenges, ensuring the insights resonate and drive actionable discussions.

I have conducted several experiments in data analysis, primarily using A/B testing to evaluate different customer engagement strategies. After defining success metrics, I analyzed the results to identify best practices, which informed strategic decisions for subsequent campaigns.

Empathy is crucial in customer experience analysis as it allows us to understand the emotional context behind data. Recognizing customer feelings and experiences drives more human-centered insights and enables us to advise our clients more compassionately on improvements.

Ensuring accuracy involves a multi-step approach: I validate my data sources, double-check calculations, and often collaborate with colleagues to review findings. I also employ statistical methodologies to assess the integrity of the data and minimize biases.

I am deeply motivated by the impact my work has on real businesses. Leveraging data to help clients enhance their customer experience and drive meaningful change gives me a sense of purpose. I find great satisfaction in seeing my insights lead to tangible improvements.

I stay updated with trends in data analysis by following industry blogs, attending webinars, and participating in professional networks. Continuous learning is vital in this field, and I'm always on the lookout for new methodologies and tools to enhance my analytical skills.