Marketing & Demand Insights Analyst

As a Marketing & Demand Insights Analyst at Too Good To Go, your primary responsibilities include supporting business leaders in identifying the right KPIs, providing data-driven guidance on strategic decisions, and designing self-service tools for operational excellence. You will analyze marketing performance metrics, optimize campaign strategies, and conduct in-depth analyses to determine demand drivers and measure marketing impact.

To be considered for the Marketing & Demand Insights Analyst position at Too Good To Go, candidates need a solid understanding of marketing data and metrics, with demonstrated experience in analyzing marketing performance. Proficiency in SQL and Python is essential for data manipulation and statistical analysis. Familiarity with A/B testing and econometric modeling will also greatly benefit applicants.

The Marketing & Demand Insights Analyst plays a crucial role in Too Good To Go's mission by utilizing data analytics to drive demand and optimize marketing efforts. By providing actionable insights derived from marketing metrics and helping to forecast demand, the Analyst contributes directly to reducing food waste, aligns marketing strategies with business goals, and ultimately supports the mission of inspiring everyone to take action against food waste.

At Too Good To Go, a Marketing & Demand Insights Analyst can expect a supportive and informal work environment that emphasizes collaboration, autonomy, and work-life balance. The company operates in a hybrid setup, encouraging team members to work in the office while also allowing flexibility to suit individual preferences. Furthermore, being part of a diverse team that celebrates differences and shares a collective mission makes for a vibrant workplace.

Too Good To Go places a strong emphasis on personal and professional growth for its employees. As a Marketing & Demand Insights Analyst, you will have access to a robust support structure aimed at fostering innovation. You'll be encouraged to enhance your data literacy skills and have the opportunity to take ownership of your projects, ultimately enabling you to make a significant impact in your role and contribute to the overall success of the company.

In my previous roles, I analyzed marketing performance metrics by employing a variety of tools and statistical methods to draw insights from the data. I would typically start by defining the key performance indicators relevant to our marketing campaigns, then use SQL for data extraction and Python for statistical analysis. I communicated findings through clear storytelling techniques to ensure that non-technical stakeholders could grasp the key insights.

Absolutely! In my role, I conducted numerous A/B tests to optimize marketing strategies. This involved collaborating with marketing teams to identify variables to test, executing the tests, and analyzing the outcomes using statistical methods to determine which version performed better. I always focused on ensuring that the tests were properly designed to yield reliable data, enabling data-driven decision-making.

Causal impact modeling is a statistical approach used to estimate the effect of a specific intervention on outcomes when controlled experiments are not feasible. I've applied this methodology by using historical data to understand the impact of our marketing initiatives. By building models that isolate the effect of various campaigns, I could provide insights on how these campaigns drove demand and identify key adjustments for future strategies.

To design a self-service analytics tool, I would begin by gathering requirements from stakeholders to understand their specific needs. Then I would develop a user-friendly interface that allows users to easily access data and generate reports tailored to their needs. Throughout the design process, I would focus on automation and simplicity, ensuring that users can utilize the tool effectively without requiring extensive technical knowledge.

In my opinion, the most vital marketing metrics depend on the specific goals of the campaign, but some I always watch include Customer Acquisition Cost (CAC), Return on Marketing Investment (ROMI), and overall conversion rates. These metrics help gauge the effectiveness of our marketing spend, track the performance of campaigns, and determine areas for optimization.

I've had substantial experience collaborating with cross-functional teams across different projects. Communication is key for successful collaboration, so I always ensure that all relevant stakeholders are included in discussions. I've worked directly with marketing, product, and business leaders to align insights with strategy, which has consistently led to improved campaign outcomes and better resource allocation.

To ensure my data analysis effectively informs business decisions, I focus on translating complex data into actionable recommendations. This typically involves setting clear objectives for each analysis, matching the right KPIs, and presenting findings in a straightforward manner. I often leverage visualization tools to make the data more digestible, allowing business leaders to see the implications of the insights quickly.

I am proficient in several statistical tools and programming languages, notably SQL for database querying and Python for data manipulation and analysis. Additionally, I am experienced with R for statistical computing when required, and I often use tools like Tableau for data visualization, enabling me to present results effectively to stakeholders.

I stay updated on the latest trends in data analytics and marketing by following reputable industry publications, participating in webinars, and attending relevant conferences. Additionally, I engage with online communities and professional groups where the latest insights and techniques are discussed, ensuring that my skills and knowledge remain current.

I am excited about the opportunity to work at Too Good To Go because of the company’s commitment to making a real difference in the world by tackling food waste. I admire the innovative approach you take towards creating impactful solutions, and I believe that my analytical skills can contribute effectively to your mission. The chance to collaborate with like-minded individuals in a values-driven environment is something I genuinely look forward to.