Strategy & Analytics Lead - Remote EU/UK

As a Strategy & Analytics Lead at Syrup, you'll be responsible for conducting in-depth analyses of data to identify trends and key opportunities across our operations. Your role includes producing actionable reports, maintaining performance dashboards, and supporting business decisions with data-driven insights. You will work closely with cross-functional teams to prioritize business opportunities and develop metrics to measure success.

To excel as a Strategy & Analytics Lead at Syrup, candidates should possess strong analytical skills, particularly in SQL, dbt, Python, and/or R, and have at least 5 years of experience in data analysis or business intelligence. A bachelor's degree in Mathematics, Statistics, or a related field is essential, along with the ability to communicate complex insights to non-technical stakeholders effectively.

Syrup offers a fun, collaborative environment where employees are encouraged to make impactful contributions towards reducing waste in commerce. As a remote-first company, we provide flexibility and maintain a healthy work-life balance. Additionally, our commitment to equity compensation and generous health benefits makes us stand out as a desirable workplace for skilled individuals in the analytics field.

At Syrup, we believe in nurturing talent and fostering growth. As a Strategy & Analytics Lead, you will have numerous opportunities to advance your career by taking on challenging projects and leadership roles. The exposure to various cross-functional teams and strategic initiatives will enhance your skills and potentially open doors to higher managerial positions within the company.

The Strategy & Analytics Lead at Syrup will tackle a variety of projects including product testing strategies, the development of analytics tools for performance tracking, and optimizing data collection processes. Collaborating with teams across the company, you will help shape product development decisions and drive strategic insights that fuel our mission to innovate in the inventory management space.

Yes, Syrup is a remote-first company, and the Strategy & Analytics Lead position offers the flexibility to work comfortably from anywhere in the EU/UK. This remote work policy embraces work-life balance while allowing you to engage with a diverse team committed to innovative problem-solving.

Syrup offers a competitive salary range of £70,000 - £120,000 for the Strategy & Analytics Lead position, based on experience. Moreover, employees benefit from an early-stage equity package, comprehensive health benefits, generous PTO, and opportunities to participate in quarterly team summits that foster company culture and collaboration.

In answering this question, focus on your systematic approach to data analysis, explaining how you identify objectives, clean data, and utilize tools such as SQL or Python to derive insights. Mention any specific techniques, like regression analysis or trend forecasting, and share real-life examples of how these techniques have delivered substantial results in previous roles.

Look for an opportunity to elaborate on a specific project where your insights led to a tangible business decision. Detail the analysis you conducted, the insights you uncovered, and how those insights were presented to stakeholders, highlighting your role in persuading them to act on the data.

Discuss your familiarity with tools such as Tableau or Power BI, citing specific instances where these tools helped you visualize data, create dashboards, or compile reports that facilitated understanding and increased engagement with data among stakeholders. Mention any instances that demonstrate how these tools have led to more efficient decision-making.

When answering this question, emphasize your teamwork skills and ability to communicate effectively with non-technical stakeholders. Provide examples of past collaborations where your analytical insights contributed to strategies or initiatives led by other departments, showcasing your adaptability and collaboration skills.

Share your strategies for keeping current with industry trends, such as following relevant blogs, participating in forums, attending webinars, or engaging in continuous learning opportunities through courses and certifications. Also, highlight any professional networks or communities you belong to that enhance your expertise.

Outline your methodology for maintaining data integrity, including processes for data cleaning, validation, and regular audits. Discuss how attention to detail and implementing best practices contribute to reliable analytics outcomes, emphasizing your analytical mindset.

Discuss your approach to product performance analysis, starting from defining KPIs to collecting data, and using statistical methods to evaluate outcomes. Provide a structured framework of steps you follow to ensure comprehensive assessments that inform business decisions.

Share your proficiency in tools such as SQL, R, or Python and discuss how you've applied them in real-world projects to manipulate large datasets, conduct thorough analyses, and derive actionable insights. Highlight successes attributed to your skills in these areas.

Illustrate your conflict resolution skills by describing a situation where you navigated differing interpretations of data. Discuss how you would approach the situation with an open mindset, focused on collaborating to explore the data together and arrive at a shared understanding.

Explain your strategies for developing and implementing product testing initiatives, sharing examples where data derived from these testing strategies directly influenced product development or improvements. Focus on your ability to quantify results effectively and communicate the impact of these strategies to the team.