Skupos is the data hub for the convenience retail industry. Retailers, distributors, and brands all convene on the Skupos platform to create value from previously disparate and hard-to-obtain data. We build tools with this data to help each cohort of our industry succeed in their roles.
Our software integrates at a retailer’s point-of-sale and automates the previous manual inventory and ordering processes. For distributors and CPG brands, we provide real-time insight into customer inventory and market basket data.
To learn more, please visit www.skupos.com
Role
As a Data Analyst for Enterprise Strategy at Skupos, you will work with our Strategy, Customer Experience, and Sales teams to understand our customers’ business goals and then structure data to measure success against these goals. This role is about using “data” for “business”—you have advanced technical skills and a developed business sense that enables you to source data correctly to answer business questions optimally (e.g., analyzing ROI, measuring periodicity, evaluating outliers).
Your “data” sense means you can create complex SQL queries to extract and process data, while your “business” sense means you intuitively understand the data sources needed to answer business questions. Based on your prior experience, you may have exposure to mathematical or statistical models to address more complex business questions (e.g., demand forecasting, price elasticity). Problem-solving skills and attention to detail are essential. Ideally you have experience and interest with CPG, retail, or supply chain data.
Team
The role will be part of our Strategy & Growth team, which is a small cross-functional group that works on different business problems across the company. As our first Data Analyst on the Strategy team, you will play a critical role in identifying the data sources and extraction methods needed to “calculate value” for our enterprise customers. We strive to learn fast, think fast, and move fast. People development is a top priority, so frequent feedback is expected and encouraged from all team members.
Responsibilities
- Identifying the right data and the best extraction process to answer business questions
- Processing and cleaning large amounts of fragmented data quickly and effectively
- Developing a scalable data methodology and tools that will be the basis for all enterprise customer implementations
- Becoming a subject matter expert on the way that transaction data drives business value for enterprise customers
- Working closely with Strategy Analysts to ensure that analysis for customers’ business questions is informed by the best data available
- Identifying additional data extraction, cleaning, and optimization opportunities based on exposure to our data environment
Skills
- Identifying the right data and the best extraction process to answer business questions
- Processing and cleaning large amounts of fragmented data quickly and effectively
- Developing a scalable data methodology and tools that will be the basis for all enterprise customer implementations
- Becoming a subject matter expert on the way that transaction data drives business value for enterprise customers
- Working closely with Strategy Analysts to ensure that analysis for customers’ business questions is informed by the best data available.
- Identifying additional data extraction, cleaning, and optimization opportunities based on exposure to our data environment
Experience
- Bachelor’s degree or equivalent, preferably in Computer Science, Engineering, Mathematics, Statistics, or a related field.
- 2+ years of experience in a data or technical analytics role, with a focus on accessing and processing data using SQL
- Strong exposure to the business implications of data, with a track record of delivering business-minded results
- Strong critical thinking and problem-solving skills to evolve the core data underlying our customer relationships
- Experience in a high-growth tech company environment is a plus
Please let them know you heard about it from Venture Connect