Strategy & Analytics Lead - Remote EU/UK

At Syrup, the Strategy & Analytics Lead plays a critical role in analyzing complex datasets and driving data-backed decisions across the organization. You'll conduct in-depth analyses to identify trends and opportunities, develop performance dashboards, and collaborate with other teams to prioritize business opportunities based on insights.

To become a Strategy & Analytics Lead at Syrup, you'll need a Bachelor’s degree in a relevant field like Mathematics or Statistics, along with at least 5 years of experience in data analysis or business intelligence. Strong analytical skills, experience with SQL, Python, and a knack for communicating complex insights clearly are also essential.

Yes! The Strategy & Analytics Lead role at Syrup is remote-first, allowing you to work from anywhere in the EU or UK. We value flexibility and collaboration, ensuring that all team members can thrive in a supportive environment, no matter their location.

As a Strategy & Analytics Lead at Syrup, familiarity with technologies such as SQL, dbt, Python, and data visualization tools like Tableau or Power BI will be highly valuable. Experience with big data technologies such as Hadoop or Spark is a plus, but not mandatory.

In the Strategy & Analytics Lead role at Syrup, you will work on various projects that involve developing analytics tools, conducting performance analysis, and informing product development decisions. Your insights will directly impact how we approach inventory excellence for our clients.

Syrup is committed to employee development by fostering a collaborative and diverse work environment. You’ll have opportunities for professional growth through mentorship, collaboration with cross-functional teams, and participation in Syrup summits where the entire global team comes together.

The salary range for the Strategy & Analytics Lead position at Syrup is between £70,000 and £120,000 GBP, depending on experience. In addition to competitive pay, we offer equity compensation and comprehensive health benefits.

When analyzing complex datasets, it's essential to start with a clear understanding of the business objectives. I utilize SQL and Python to clean and manipulate the data, ensuring that I focus on relevant metrics. I also employ visualization tools to present findings effectively, making sure that insights are actionable and aligned with our goals.

Certainly! In a previous role, I conducted an analysis that identified a consistent trend in customer behavior that had previously gone unnoticed. By presenting this insight to the product team, we adjusted our inventory strategy, which led to a significant increase in sales and improved customer satisfaction.

Prioritizing projects involves a balance of urgent tasks versus those that align with long-term goals. I use a matrix to categorize projects based on their impact and urgency, allowing me to focus on high-value tasks while ensuring that urgent needs are addressed promptly.

I have extensive experience using data visualization tools like Tableau and Power BI. I believe these tools are critical for translating complex data insights into intuitive visual formats. My goal is always to create dashboards that not only display data clearly but also drive action by highlighting key performance indicators.

Key metrics for measuring product performance often include sales volume, customer feedback scores, and inventory turnover rates. However, it's essential to tailor metrics to each unique product or market situation to ensure that they provide meaningful insights that can guide decision-making.

Collaboration with cross-functional teams requires strong communication and a clear understanding of shared goals. I initiate discussions early to ensure all perspectives are considered and utilize tools that facilitate ongoing collaboration, like Slack or project management software, to keep the team aligned throughout the project.

Data integrity is crucial for making reliable decisions. I ensure data integrity by implementing thorough data validation processes, auditing datasets regularly, and fostering a culture that encourages data quality checks among all team members involved in data handling.

One of the common challenges in analytics roles is managing large volumes of data with varying accuracy levels. I overcame this by establishing robust data cleansing processes and focusing on continuous validation and monitoring of the data pipelines to ensure that the insights generated are reliable.

I stay updated with the latest trends in data analytics by following industry leaders on platforms like LinkedIn, regularly attending webinars and conferences, and participating in relevant online courses that help enhance my skills and knowledge around new tools and methodologies.

A successful Strategy & Analytics Lead typically possesses strong analytical skills, effective communication abilities, and a strategic mindset. They should also be detail-orientated, curious about data, and able to collaborate effectively with diverse teams to translate insights into actionable strategies.