Full-Time

Bizops & Analytics Lead

Remote

Confirmed live in the last 24 hours

Syrup

Syrup

51-200 employees

AI solutions for apparel demand forecasting

Data & Analytics
Enterprise Software

Compensation Overview

ÂŁ70k - ÂŁ120kAnnually

Senior

Remote in UK

Remote first team across Europe and North America.

Category
Data Analysis
Data & Analytics
Required Skills
Power BI
Python
R
Product Management
Apache Spark
SQL
Tableau
Hadoop
Data Analysis
Requirements
  • Bachelor's degree in Mathematics, Statistics, Computer Science or a related field.
  • At least 5 years of experience in data analysis, business intelligence, product management or a related field.
  • Strong analytical skills with experience in SQL, dbt, Python, and/or R.
  • Experience working with large and complex datasets.
  • Hyper-analytical mindset with a strong attention to detail and a curiosity to explore data and find insights.
  • You are a highly motivated, result-oriented self-starter, enjoy working in a fast-paced environment, and can deliver successful results with minimal guidance.
  • Strong business acumen with the ability to understand and analyze commercial opportunities.
  • Excellent communication skills with the ability to clearly present complex data insights to non-technical stakeholders.
  • Some experience with data visualization tools such as Tableau or Power BI.
  • Experience working in an agile development environment is a plus.
  • Experience with big data technologies such as Hadoop or Spark is a plus.
Responsibilities
  • Challenge the status quo, and drive data backed decision making.
  • Conduct in-depth analysis of data to identify trends, opportunities, and issues across all areas of our business.
  • Develop and maintain product performance dashboards, reports and analytics tools that offer insights into key performance indicators and support business decision making.
  • Collaborate with cross-functional teams to identify and prioritize business opportunities based on data-driven insights and recommend appropriate metrics for measuring performance.
  • Develop and implement product testing strategies to inform product development decisions and shape business decisions based on insights and trends.
  • Manage the entire data lifecycle, including data collection, processing, and utilizing insights to make informed decisions.
  • Define and cultivate best practices in analytics instrumentation and experimentation.

Syrup.Tech provides AI-powered solutions specifically designed for the apparel and footwear industry, focusing on demand forecasting and optimization. Their platform analyzes demand signals to offer intelligent recommendations that help brands improve their planning, allocation, and purchasing processes. This approach enables clients to enhance their profit margins and foster business growth. Syrup.Tech operates on a software-as-a-service (SaaS) model, generating revenue through subscription fees. What sets Syrup.Tech apart from its competitors is its specialized focus on the apparel and footwear sectors, allowing for tailored solutions that address the unique challenges faced by these industries. The company's goal is to empower brands with the tools they need to make informed decisions and optimize their operations.

Company Stage

Series A

Total Funding

$24.1M

Headquarters

New York City, New York

Founded

2020

Growth & Insights
Headcount

6 month growth

↑ 5%

1 year growth

↑ 58%

2 year growth

↑ 237%
Simplify Jobs

Simplify's Take

What believers are saying

  • Syrup's recent $17.5M Series A funding led by Accel Partners indicates strong investor confidence and potential for growth.
  • Early results show a 46% increase in forecast accuracy compared to major incumbents, highlighting the platform's effectiveness.
  • The company's AI-driven approach helps retailers reduce stockouts and wasted inventory, addressing a $250B problem in the apparel and footwear industry.

What critics are saying

  • The competitive landscape in AI-powered retail solutions is intense, requiring continuous innovation to maintain a competitive edge.
  • Dependence on accurate data integration from various sources could pose challenges in maintaining forecast accuracy.

What makes Syrup unique

  • Syrup leverages AI to provide highly granular inventory forecasts at the item x size x color level, surpassing traditional methods.
  • The platform integrates a unique mix of historical, transactional, and real-time data, offering a comprehensive approach to inventory optimization.
  • Syrup's focus on reducing overproduction and waste aligns with sustainability goals, setting it apart in the retail tech space.

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