Vista's Engineering organization is working to make our company one of the world's most well-known and successful data-driven companies. The cross-functional team includes analysts, product owners, technologists, data engineers, and more – all passionate about providing Vista with information and tools we can use to deliver jaw-dropping customer value. Engineering team members are empowered to learn new skills, communicate openly, and be active problem-solvers. Find out more at vista.io.
Vista has a catalog of thousands of products that can be customized in multiple ways. As a consequence, we have many data challenges and opportunities that we work with daily. The Assortment team is dedicated to simplify and advance Product Assortment related decisions. To achieve this purpose, we work closely with several business partners to create relevant data products powered by our expertise in the product data model. Our focus lies in developing easy-to-use solutions that enable data-driven decision-making to ultimately provide the best customer experience related to the assortment of products.
What You Will Do:As a Senior Analytics Engineer in this role, you'll be a crucial part of solving business problems by analyzing multiple data sets that relate to the vast assortment of Vista. Apart from analyzing the data, you'll create easy-to-understand visuals to help our stakeholders understand how the product catalog performs from many different angles.
Within this role, you will also enable your team to better understand how the data flows and identify any data gaps that might indicate a flaw of the system or of any operational process. Ultimately, thanks to the insights that you will generate the Product Assortment team will be able to better solve customer and business problems or tap into new business opportunities.
Your Qualifications:You are proficient in SQL queries. You have data visualization experience (ideally in Looker, Tableau, Power BI, or similar).Experienced. 2+ years in an analytics environmentSkilled in exploratory analysis and statistical techniques and are driven to find important patterns and trends in the data.Strong problem-solving skills (Ability to translate a business ask into a very concrete question and breakdown into important analyses)Familiar with programming languages (e.g., Python, R)Compelling communication and storytelling skills (Articulate your message clearly based on your audience)Nice to Have:Experience with Optimizely, Statsig, or similar experimentation tools.Experience in designing/monitoring and analyzing experiments (A/B, multi-variant, Bayesian, multi-arm-bandit) using statistical rigor and being able to guide collaborators on how to accurately interpret the test results.
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