Senior Martech & Data Specialist

The Senior Martech & Data Specialist at Too Good To Go plays a pivotal role in enhancing our digital marketing analytics capabilities. This involves optimizing various marketing tools, managing cross-functional integration projects, and promoting self-service analytics within the marketing team. You will also lead efforts to improve data quality and attribution models which directly impact marketing performance. Additionally, compliance with GDPR and other data regulations is crucial in this role.

Candidates applying for the Senior Martech & Data Specialist position at Too Good To Go should possess at least 5 years of experience in full-stack and technical marketing, with a minimum of 3 years in a similar role. Proficiency in SQL is required for effective data management, along with experience in optimizing data pipelines and using business intelligence tools for analysis. A background in sustainability and a keen interest in eco-conscious practices is also encouraged.

The Senior Martech & Data Specialist contributes to Too Good To Go's mission by optimizing digital marketing strategies through data-driven insights. By enhancing attribution models and ensuring data integrity, this role directly influences how marketing efforts perform against food waste strategies. This contribution helps the company scale its solutions globally and engage with millions of users who are passionate about fighting food waste.

In this role at Too Good To Go, the Senior Martech & Data Specialist will work with various tools including web analytics platforms, mobile measurement platforms like Appsflyer, CRM tools such as Braze and Salesforce, as well as tag management systems. Experience with data pipelines and BI tools is also crucial for analyzing and presenting insights effectively.

The working environment for a Senior Martech & Data Specialist at Too Good To Go is dynamic and supportive of innovation. You will be part of an informal atmosphere alongside passionate colleagues, where work-life balance and flexibility are prioritized. Additionally, the company fosters collaboration across teams and encourages contributions that align with its mission of reducing food waste globally.

To ensure data quality in marketing initiatives, I prioritize structured data management and regularly audit our databases. I implement validation rules and tracking systems to minimize errors and discrepancies. Additionally, I work closely with cross-functional teams to standardize data formats and ensure consistent data collection methods.

In my previous roles, I have developed and refined attribution models that analyze customer touchpoints across digital channels. I use both first and last-click attribution models, along with multi-touch approaches, to provide a comprehensive understanding of marketing effectiveness. By analyzing these models, I've been able to make informed decisions to allocate budget more effectively.

I have experience using CRM tools such as Salesforce and Braze. I utilize these platforms to segment audiences, track customer interactions, and enhance marketing campaigns. By analyzing CRM data, I've successfully improved customer targeting and increased retention rates through tailored communication strategies.

I conducted an A/B test on our email campaign where we varied subject lines and call-to-actions. By analyzing open rates and click-through rates, we discovered that personalized subject lines significantly increased engagement, leading to a 20% improvement in overall performance. This insight has helped shape our future email marketing strategies.

I stay updated with advancements in marketing technology by following industry blogs, attending webinars, and participating in professional networks. I also dedicate time to exploring new tools and functionalities within existing systems, ensuring my skills remain relevant and I can leverage the latest innovations effectively.

For successful cross-functional collaboration, I emphasize clear communication and shared goals. I organize regular meetings to align expectations and involve team members in decision-making processes. By building relationships across departments, I ensure that everyone's insights contribute to our collective success.

To scale a data infrastructure, I would begin by assessing current bottlenecks and performance metrics. I prioritize optimizing the existing data pipelines and exploring cloud-based solutions for increased capacity. Collaboration with IT teams is also essential for integrating new tools and ensuring a sustainable growth trajectory.

In marketing analytics, I typically focus on KPIs such as customer acquisition cost, lifetime value, click-through rates, and conversion rates. Understanding these metrics helps in evaluating the effectiveness of campaigns and making data-driven decisions to optimize performance.

I handle data compliance by implementing strict protocols for data handling and ensuring that all marketing practices adhere to regulations such as GDPR. Regular training sessions for team members and collaborating with legal teams help create awareness and maintain compliance at every stage of our marketing efforts.

To foster a data-driven culture, I advocate for transparency in sharing insights and providing training on how to interpret data. I promote self-service analytics tools and create dashboards that visualize key metrics, empowering the marketing team to make informed decisions and celebrate data successes collectively.