What does the DnA team do at Vista?
Provide data products & expertise that enable Vista to serve small businesses in smarter ways.
With hyper-personalization at scale, our vision for the customer is that Vista feels like an extension of their team –an always-on marketing and design partner.
Do you want to learn how we hire?
Learn more on our career site!
The Way We Work
We believe in data as a product and the data mesh concept: small teams building and operating data products with high speed and laser focus.
Each member of the Data and Analytics team at Vista – or DnA, for short – has the creative freedom to develop ideas and room to reach their potential. To make these small teams successful and to provide them with the best conditions to excel, we work cross-functionally through a matrix structure. Our teams consist of experts from domains and chapters.
Domains set the product vision for the data products.
Chapters are providing best practices to transform these visions into reality.
Data Platform offers a comprehensive solution to build data products.
While we have chapters and domain for organizational purposes, our teams are the most important entity in our organization.
DnA Domains >
Domains set the product vision for their data products. They’re focused on different areas of expertize along the business value chain – Pricing, Manufacturing, Supply Chain, Customer Care, for example. Each domain is responsible for building data products that tackle business problems and questions – across automation, prediction, optimization, reporting micro-services and tools, for example. Helping us to serve customers better.
Powering our everyday fair prices promise across a vast product portfolio
DnA Chapters & Central Teams >
Where experts exchange best practice on how to build data products. Chapters are groups of experts in respective fields. So experts from a relevant chapter, like data science, data engineering or data architecture, share knowledge, tools, code or best practice to build our data products.
Cimpress Data Platform >
Where platform engineers build the best data stack for the data mesh. The data platform develops and operates the key data tools - for example, Ingestion API, Snowflake, Looker, or Databricks - and tailors its components to enable our data mesh
DnA DOMAINS EXPLAINED
Personalization & Design Experience
Working to hyper-personalize every inch of the customer journey by using smart data and algorithmic tools. Data product teams have begun creating state-of-the-art personalization at scale around design, products and experience to serve each small business in a uniquely familiar way.
Product, Pricing & Promotion
Delivering on our promise to be the marketing partner and design partner for small businesses means we’re ultra-focused on providing amazing customer value. To achieve this, we build, maintain and apply next-generation pricing methodologies and algorithms using internal and external data, to enhance the customer experience and support our everyday fair prices promise.
Omnichannel Marketing & Site Experience
Teams in this domain help Vista better understand the performance of our marketing channels and website in order to improve the customer journey on and off site. They combine data product teams and embedded specialists with expertize in site and channel analytics, paid and organic search. They utilize data to drive scale and efficiency for our marketing campaigns, and improve the website experience for our customers.
Customer Value & Performance Modelling
Data product teams in this area provide innovative models, methodologies and data focused on performance tracking, prediction, experimentation, and unlocking more customer value. A key enabler, this domain connects teams across DnA and Vista to best utilize data-powered products and insights, helping us create smarter solutions.
Manufacturing & Supply Chain
The teams in this domain connect Vista operations teams with varied data sources (manufacturing, shipping, customer care, for example) to provide rich analytical support for all aspects of our fulfilment operations. This includes production, quality, logistics, and supply chain management, with the all-encompassing goal to delight our customers through amazing fulfilment experience.
Customer Care
Data product and business-embedded teams provide smart data solutions to measure and enhance the end-to-end customer experience – from staffing at CARE centers, to predictive models that solve potential quality issues before they happen, to real-time customer feedback tools.
DnA CHAPTERS EXPLAINED
Data Science
Applying tried-and-true and bleeding-edge data science techniques is propelling us further, faster. The Data Science chapter balances academic and pragmatic approaches to problem solve across the business. Good listeners and researchers at heart, they value the diversity of thought that each Vista colleague offers.
Data Engineering
The Data Engineering chapter builds thoughtfully architected, scalable data products using a modern tech stack - the Cimpress Data Platform. Our engineers value the principles of distributed data mesh architecture and our products are built with a focus on self-service for our (internal) customers.
Global Business Analytics
This group of business-embedded analysts enable data product success. As a strategic partner, they form a bridge between DnA domain and Vista teams, fostering data-driven decision making and training. At DnA, we’re all-in when it comes to inversion of control and putting power in the user’s hand.
Data Governance, Automation, Architecture & Technology
By coordinating people, processes and technologies this team sets the foundations to extract the highest value out of data across Vista, to build better, more flexible products even faster. This chapter combines data architects and data governance managers who set out frameworks, overarching data principles and guidance across DnA and Vista.
DnA Growth & Change HQ
This central team of enablers comprises a diverse set of roles, from change managers to agile coaches and our business partners from HR, Communications & Finance. They help connect the dots across the organization and propel strategic initiatives to support the development of DnA and our people. Expect to find the GCHQ shaping and honing processes and ways of working for everyone’s benefit.
CIMPRESS DATA PLATFORM EXPLAINED
Private Data Warehouse
The Private Data Warehouse (PDW) system allows businesses to easily ingest, securely store and share their data, and offers rich visualization features that help business move towards data driven decision making.
Data Product Toolkit
The Data Product Toolkit helps businesses extract more value from their data and maximize their investments in Data Engineering and Data Science (DS). It supports the transformation of data (e.g.cleaning, converting, aggregating, joining), and the ability to train, collaborate and make predictions on it with our data science solutions.