Senior Analyst - Retail

As a Senior Analyst - Retail at NielsenIQ, you'll be responsible for analyzing data from various sources to provide actionable insights that help our clients achieve their business goals. You will work collaboratively with a dedicated team, develop strong relationships with clients, and present your findings in a compelling manner. This role involves understanding client needs and crafting tailored solutions while ensuring their satisfaction and engagement.

To qualify for the Senior Analyst - Retail position at NielsenIQ, candidates should possess a post-secondary degree in Marketing, Business, or a related field. Additionally, a minimum of 2 years of experience in marketing, retail, or category management is vital. Strong analytical skills, especially within the CPG or retail industries, are essential, along with proficiency in Excel and familiarity with Power BI or Tableau.

The Senior Analyst - Retail at NielsenIQ plays a critical role in driving client success by leveraging data to uncover insights. By understanding client challenges, you will present data-driven recommendations that foster strategic decision-making. Your analytical abilities combined with excellent communication skills ensure that clients not only receive accurate information but also gain actionable strategies to enhance their business outcomes.

A Senior Analyst - Retail at NielsenIQ should be technically fluent with data manipulation and possess advanced Excel skills. Familiarity with analytics and visualization tools like Power BI and Tableau is highly regarded, as these tools are essential to transforming complex data into readable insights that inform client strategies.

The work environment for a Senior Analyst - Retail at NielsenIQ is flexible and collaborative. You'll have the opportunity to work within a team that values innovative thinking and challenges the status quo. While the position is remote, it requires being onsite three days a week at our Stellarton client location, allowing you to build strong client relationships and contribute to their success directly.

In your response, clearly outline specific projects or situations where you utilized data analysis to provide insights. Talk about the methods you used, the significance of the insights gained, and how they were applied to solve client problems or drive business decisions, showcasing your analytical prowess and outcomes.

Highlight your approach to building strong client relationships. Discuss strategies you've used to understand client needs, communicate effectively, and respond to feedback. Emphasize the importance of trust and transparency in fostering successful partnerships.

Discuss specific tools you've utilized for data visualization, like Tableau or Power BI, and how these tools enabled you to present data in a compelling manner. Share examples where your visualizations led to better understanding, engagement, or client decisions.

Provide a detailed example of a situation where you identified an existing process or method that could be improved. Explain how you proposed an innovative solution, the challenges you faced in implementing it, and the positive outcomes that followed, showcasing your proactive approach.

Discuss your approach to effective time management. Describe tools or techniques you use to prioritize tasks, manage deadlines, and ensure all client needs are met without sacrificing quality. Provide a real example to illustrate your capability.

Research and articulate your understanding of NielsenIQ offerings. Discuss how these products and services align with client needs in the retail space and present potential applications that could benefit clients in your role as a Senior Analyst.

Prepare a specific example that illustrates your ability to extract meaningful insights from data analysis. Discuss the context, your analysis process, the insights generated, and how those insights influenced client strategies or decision-making.

Emphasize the importance of building trust and understanding client concerns. Describe how you would present clear, relevant data while addressing their skepticism, aiming to demonstrate the value of insights through clear examples and past success stories.

Discuss specific analytical frameworks that you have successfully utilized. Explain why you believe these frameworks are effective and how they've helped you derive conclusions that drove actions or solved problems in a retail context.

Express your enthusiasm for the company and this specific role. Reference NielsenIQ's commitment to consumer intelligence and innovation and how that aligns with your career goals. Highlight how you believe your skills and experiences can contribute to the success of their clients and the company as a whole.