Sales Performance Analyst

As a Sales Performance Analyst at Accor, your main responsibilities include collecting and analyzing sales performance data from various channels to identify trends, creating insightful reports and dashboards for leadership, assisting in sales forecasting, supporting strategic initiatives, optimizing sales tools, and collaborating with cross-functional teams to ensure alignment with business objectives.

To apply for the Sales Performance Analyst position at Accor, candidates should be currently pursuing a master’s degree in Business Administration, Finance, Hospitality Management, or a related field with a specialization in data analytics. Proficiency in English and preferably French, along with strong analytical skills and experience with data visualization tools, are essential.

In the Sales Performance Analyst role at Accor, you will work with various tools including Microsoft Excel, Power BI, and Tableau for data analysis and visualization. Familiarity with CRM platforms and database management will also be beneficial as you support the optimization of these sales performance tools.

A Sales Performance Analyst at Accor collaborates closely with Account Managers, Hotel Sales Relations, Data, Finance, and Operations teams. This cross-functional collaboration is key to providing actionable insights that inform sales strategies and align them with broader business goals.

As a Sales Performance Analyst at Accor, you can enjoy a variety of employee benefits including remote work options, access to coworking spaces, a comprehensive learning and development program, financial benefits such as profit-sharing and mobility allowances, and a supportive work environment that promotes a great work-life balance.

When analyzing large sets of sales data, I begin by defining key performance indicators (KPIs) that align with organizational goals. I then clean and organize the data for clarity and accuracy, utilize analytical tools like Excel and Power BI to identify trends, and finally summarize my findings into actionable insights for presentation.

Yes, in my previous experience, I analyzed sales trends that revealed an underperforming market segment. By sharing this insight with the sales team, we were able to pivot our strategy and focus on targeted campaigns, resulting in a notable increase in sales in that area.

I have assisted in sales forecasting by analyzing historical sales data and market trends to develop predictive models. I collaborate with sales directors to ensure that the forecasts align with business objectives, helping the team set realistic and achievable sales targets.

To ensure accuracy in my reports and dashboards, I implement a rigorous checking process where I cross-verify data from multiple sources, consistently update my input data for real-time insights, and seek feedback from peers to identify any discrepancies before finalizing reports.

In a fast-paced environment, I prioritize tasks based on urgency and importance, leveraging project management tools to keep track of my progress. I communicate openly with my team to manage expectations and seek assistance when needed to ensure that deadlines are met without compromising quality.

I am proficient in using various sales tools such as Microsoft Excel for analysis, Power BI for visualization, and CRM software for managing client relationships and data input. I continually seek out new technologies to enhance efficiency and productivity within sales teams.

When presenting findings to non-technical stakeholders, I focus on communicating insights clearly and succinctly. I use visuals like charts and graphs to illustrate key points and relate my findings back to business objectives, ensuring that the information is relevant and actionable for the audience.

To identify sales opportunities, I analyze market trends and customer feedback, monitor competitor activities, and utilize data analytics to pinpoint gaps in the market. Collaborating with sales teams, I help devise strategies that leverage these insights to maximize sales potential.

Certainly! I once conducted a complex analysis of multi-channel sales data integrating both online and offline sources. This involved data cleaning, segmentation, and normalization techniques, allowing me to present a comprehensive view of customer behavior across various touchpoints, which informed our marketing strategies.

I stay updated with trends in data analytics by participating in online courses, attending industry webinars, following influential thought leaders on social media, and regularly reading publications focused on data science and analytics to continuously enhance my knowledge and skills.