Your work days are brighter here.

At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.

About the Team

About the Role

We are looking for someone to join our Commercial Data Science team that sits within the broader product team. This team works with both the product team and our customers to help ensure customers are deriving maximum value from their data.

The perfect candidate will have a background in a quantitative or technical field, will have experience working with large data sets, and will ideally have some experience in enabling data-driven decision making. You are focused on results, a self-starter, and have a keen interest in using analytics to drive the understanding, growth, and success of a product. This full time position is based in Dublin.

 

Key Responsibilities

• Apply your expertise in statistical analysis, data mining, and the presentation of data to support our customers in maximising the impact of their data 

• Support customer facing teams (i.e. Customer success, Customer Support) in servicing technical customer data queries that require Data Science support

• Support quantitative analysis projects from start to finish, including all aspects of data analysis ad insight presentations to customers (e.g. processing, cleaning, verifying the integrity of data used for analysis, statistical analysis, visualizations and presentations)

• Partner with Product and Engineering teams to solve problems and identify trends and opportunities as part of ongoing R&D

• Work alongside your workmates to design and complete research and Thought Leadership that can have a positive impact on Peakon's commercial aspirations

We look for people who have a strong desire to solve complex problems and develop new solutions, often involving collaboration with different teams across the company. Vital skills include competence with Python, SQL and data science. 

About You

Basic Qualifications

• In-depth knowledge of statistics (e.g., hypothesis testing, regressions) with an Undergrad,  Masters or PhD degree in Computer Science, Math, Physics, Engineering, Statistics or another technical field

• Practical understanding of SQL

• Intermediate knowledge of Python or R

Other Qualifications
 

• Experience communicating data insights to customers

Our Approach to Flexible Work
 

With Flex Work, we’re combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote "home office" roles also have the opportunity to come together in our offices for important moments that matter.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!