Insight Analyst

As an Insight Analyst at esure Group, your main responsibilities will include providing detailed insights and analysis on performance metrics, using data to recommend new initiatives, and identifying drop-off points in online customer journeys. You will also develop AI/ML models using Python in DataBricks and create MI tools for robust reporting. Collaborating with various departments, your role is critical in enhancing client satisfaction and driving continuous improvement across our services.

To be a successful candidate for the Insight Analyst role at esure Group, you need a strong passion for data, excellent analytical skills, and a problem-solving attitude. Proficiency in SQL or Python is necessary, along with experience in data visualization tools like Tableau. Previous experience in customer insight roles, particularly within call center environments, is highly advantageous. A collaborative spirit and a keen interest in product development will also support your application.

As an Insight Analyst at esure Group, you will work with advanced tools and technologies. You'll be developing AI/ML models using Python in DataBricks for forecasting and analysis. Proficient use of SQL for data manipulation and Tableau for data visualization will also be required. Additionally, you'll create MI tools and reporting systems that capture essential data for business insights.

esure Group is dedicated to your career development as an Insight Analyst. We provide hands-on training, access to exclusive academies, and regular career conversations to guide your professional growth. Our mentoring programs and expert resources are tailored to help you elevate your skills and advance in your career, ensuring you have the support needed to thrive in our innovative environment.

Joining esure Group as an Insight Analyst comes with a competitive salary and a range of benefits that reflect your contributions. You'll enjoy 25 days of annual leave plus additional flexible days, company-funded private medical insurance, and generous discounts on our insurance products. Our flexible benefits platform lets you build a personalized toolkit for health, wellbeing, and finances, alongside community volunteering opportunities to make a positive impact.

In my previous roles, I have engaged deeply with data to extract actionable insights. I’ve primarily used SQL to query databases and Python for data analysis and modeling. I can explain how I identified trends and provided recommendations that significantly improved customer experience.

I believe in a structured approach to problem-solving. I start by defining the problem clearly, gathering relevant data, and analyzing it from different angles. Once I identify potential solutions, I test them, using models and simulations where necessary, to ensure they are practical and effective.

I primarily use Tableau for data visualization due to its user-friendly interface and powerful capabilities. It allows me to create insightful dashboards that clearly communicate findings to stakeholders. I also explore options like Python's Matplotlib for custom visualizations when required.

In a previous role, I identified a significant drop-off in our online checkout process through data analysis. By presenting my findings, we were able to streamline the checkout experience, which resulted in a noticeable increase in conversion rates and boosted overall revenue.

I have hands-on experience with basic AI/ML modeling techniques. For instance, I've implemented regression analysis to forecast sales trends. I continually seek to expand my knowledge in this area and have taken courses to strengthen my skills in using Python libraries for machine learning tasks.

To ensure accuracy, I prioritize data quality checks, validation techniques, and maintain clear documentation throughout the analysis process. I've also collaborated with cross-functional teams to verify insights and garner feedback to enhance the reliability of my findings.

I have worked on several projects using Python in DataBricks, focusing on data manipulation and building machine learning models. I appreciate DataBricks' collaborative features that allow seamless integration with Spark, broadening my capabilities in handling large datasets.

Prioritizing tasks is essential in my work. I assess deadlines and the impact of tasks on business objectives. I also communicate with stakeholders to align priorities, ensuring that I focus on high-impact projects while maintaining flexibility for urgent requests.

Once, I had to present insights regarding customer behavior to the marketing team. I used clear visualizations and avoided jargon, focusing instead on actionable insights that they could directly apply in their strategies. This approach made the data relatable and facilitated productive discussions.

The opportunity to contribute to a leading company that embraces digital innovation in the insurance sector excites me. I admire esure's commitment to putting customers first and using data to drive decisions that enhance customer experience. I am eager to be part of such transformational work.