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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 https://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 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.
Exposing the inventory levels of our products, both in our manufacturing plants as well as in our vendors' plants from which we source many of our non-paper based products. Analyzing historical sales data and market trends to identify inventory optimization opportunities. Understanding which products and vendors stock out and how often they do so that the Product Operations team can improve the manufacturing logistics. Collaborating with cross-functional teams to implement inventory management strategies that align with business objectives. Evaluating the performance of newly introduced products (NPIs) through comprehensive analysis of sales data and provide insights to refine product offerings. Identifying low-performing products or duplicates in the assortment through data-driven analysis. Collaboration with partners to discontinue underperforming products to streamline operations, reduce costs and focus resources on high-potential products. Surfacing the variable cost changes of all our products over time so that the Pricing team can update the prices if needed to maintain healthy margins Sharing several physical characteristics of products so that Product marketing and Product operations can analyze their portfolio of products from different dimensions and make relevant business decisions Your Qualifications: At Vista, we are striving to hire individuals that add new ideas and perspectives to our teams and enhance our culture. No matter your background or work experience, we strongly encourage you to apply—even if you feel that you don't meet the exact requirements or have the same qualifications. You might be a great candidate for this or other opportunities.
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 environment Skilled 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. Why You'll Love Working Here: There is a lot to love about working at Vista. We are an award winning Remote-First company. We're an inclusive community. We're growing (which means you can too). And to help orient us all in the same direction, we have our Vista Behaviors which exemplify the behavioral attributes that make us a culturally strong and high-performing team.
About Us: Vista is the design and marketing partner to millions of small businesses around the world. For over 20 years we've been inspired by small businesses, and we work incessantly to deliver solutions to their evolving needs. VistaCreate, 99designs by Vista and VistaPrint, all under the parent brand Vista, represent a full-service design, digital and print solution, elevating small businesses' presence in physical and digital spaces and powering them to achieve success. Vista is focused on making great marketing and design accessible to every small business owner, allowing them to create a cohesive brand image for use in-store, online and on-the-go.
Commitment to Diversity, Equity, & Inclusion: Vista exists to help our customers live their dreams. Each dream is unique – and the Vista team needs to be as well. We believe in the unique contributions of everyone within a diverse global organization. We are collaborative, inclusive, and innovative. We strive to role model and live an inclusive culture of fairness, respect and belonging for all. And we work together to empower each other, creating a space in which each of us can spark our next great idea.
Equal Opportunity Employer: Vista, a Cimpress company, is an Equal Employment Opportunity Employer. All qualified candidates will receive consideration for employment without regard to race, color, sex, national or ethnic origin, nationality, age, religion, citizenship, disability, medical condition, sexual orientation, gender identity, gender presentation, legal or preferred name, marital status, pregnancy, family structure, veteran status or any other basis protected by human rights laws or regulations. This list is not exhaustive and, in fact, in many cases, we strive to do more than the law requires.
Job Segment: Manufacturing Engineer, Data Analyst, Data Modeler, Engineer, SQL, Engineering, Data, Technology
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