SKUPOS

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Data Analyst, Enterprise Strategy

at SKUPOS

Posted: 9/17/2019
Job Status: Full Time
Job Reference #: d32008fc-9c8a-4005-8e24-9d8237c585da

Job Description

Data Analyst, Enterprise Strategy

Denver, Colorado
Business – Strategy
Full-time

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Company

Skupos is the data platform for the convenience retail industry. Retailers, distributors, and brands connect to the Skupos network to create value from disparate data. Convenience retail is a long-standing industry with limited technology adoption, but is responsible for more revenue annually than all of e-commerce in the United States. Skupos leverages our massive datasets to build tools that help the industry succeed.

Skupos software integrates at a retailer’s point of sale, generates analytical insights, and automates the inventory and ordering process. For distributors and CPG brands, we provide real-time visibility into consumer purchasing decisions and enable automated promotional discounts at the point of sale. We view our company as revolutionizing a brick-and-mortar industry by bringing cutting-edge technology to physical stores, and helping harness data to create a frictionless connection between millions of people and the products they need.

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

Top notch technical skills and a business mindset.

Experience in extracting, processing, and manipulating data from various sources.
Ability to understand business questions and their impact on data needs.
Self motivation, process-driven perspective, and detail orientation.
Advanced proficiency with SQL and other database querying languages.
Proficiency with Excel, Tableau, Alteryx, Looker, or other analytical tools.
Exposure to Python, R, or other programming and statistical tools is a plus.
Ability to thrive and adapt in a high growth and rapidly changing startup 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

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