Description and Requirements

The Senior Business Analyst supports the business to deliver insights and actionable analysis that drive profitable decision making. 

Market Overview:

Dyson is a global technology company. Using a desire to make things work better as a catalyst for invention, our team of 3,000 engineers and scientists are passionate about developing technology that solves the problems others often ignore. From the world’s first bagless vacuum cleaner, to hand dryers that use 420mph sheets of air to remove moisture from hands, to a completely re-thought hair dryer with its motor in the handle, we are relentless about engineering better solutions. Dyson spends $8.8million a week on research and development and works with more than 40 universities worldwide to develop early-stage technologies.

Dyson launched in the US in 2002, with the DC07 vacuum cleaner. Within 2 years, it was market share leader. Now, the US team is nearly 1,000 strong, with offices in Chicago, IL; Aurora, IL; San Francisco, CA; and Dyson people around the entire country. And we are still growing. Dyson US is poised to double its footprint, and take on new categories. Already a target for our competitors, challenging times are ahead. And our battle-hungry US team is fired up.

Function Overview:

At any one time, Dyson are working on a wide variety of different projects. To assist the thousands of technicians, scientists, engineers, and analysts worldwide, we provide up-to-date dashboards and KPIs which aim to facilitate data-driven decisions. We engage with key business stakeholders directly, relentlessly improving our reporting portfolio and data model.


As the Senior Business Analyst you will have 7 main functions: 
  1. Consult with business partners to create relevant and meaningful outputs that enable data sharing and aid decision making
  2. Enable regular data sharing of key metrics across the business
  3. Manage product output roadmap for designated areas of remit
  4. Effectively communicate complex concepts to business partners
  5. Use creativity along with common data science modeling concepts
  6. Maintain relationship with Global data team
  7. Partner with team members to bring to life – visualize and tell story
Specifically you will be responsible for the following
  • Consult with business partners to create relevant and meaningful outputs that enable data sharing and aid decision making
    • Partner with Sales, Marketing and Finance teams to answer key questions in relation to the respective business units
    • Prepare regular and ad hoc analysis using KPIs to support business objectives
    • Use visualization tools to share and communicate updates and key learnings
    • Continually look for insights and signals within the data and translate to the business
  • Support planning and decision-making with a focus on the effectiveness of investments
    • Bring together financials, non-financial metrics as well as external data
    • Effectively communicate complex concepts used in analyses and provide actionable insights and recommendations for future investment opportunities
    • Summarize and present findings to business partners
    • Seek opportunities to apply data science techniques that will enable better, quicker decision making in the business
  • Manage product output roadmap for designated areas of remit
    • Provide input in the project prioritization process
    • Responsible for managing assigned projects, driving creative solutions, and ensuring all key deliverables are met
  • Special projects and ad hoc analysis as needed
    • Relish the opportunity to pick up new activities that fall broadly in the purpose of the role
    • Make improvements and efficiencies to existing processes
    • Identify problems and find solutions


This is what we need you to have:

  • A demonstrable demonstrated competence in mathematics and analytics with experience working in a highly analytical role and a bachelor’s degree completed
  • Strong analytical and problem-solving skills gained
  • Experience fully managing projects from start to finish with little direction
  • Prior experience working with a Sales and Marketing organization, while partnering with Finance teams
  • Ability to clearly communicate and present statistical analysis along with data visualization
  • Experience using data visualization software such as Tableau, Google Data Studio, Looker, R-Shiny
  • Advanced MS Excel and PowerPoint is required
  • Working knowledge of statistics and common machine learning algorithms (Decision Trees/Random Forrest, XGboost, Clustering, Naïve Bayes, etc.), programming languages (such as Python or Ruby), and statistical programming languages (such as R or Python, scikit-learn, TensorFlow)
  • Intellectually curious, relish the opportunities to pick up new activities, make improvements and efficiencies to existing processes, and identify problems and find solutions

It would be helpful if you also had some of these:

  • Experience with Retail analytics
  • Experience using cloud computing platforms, such as Google Cloud or AWS

Benefits Overview:

Dyson US monitors the market to ensure competitive salaries, holidays and retirement plans. Beyond that, you’ll also enjoy profit-related bonuses and life and disability cover. But financial rewards are just the start of a Dyson career. Rapid professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fueling and realizing ambition.

Dyson is committed to providing reasonable accommodations to individuals with disabilities. If you are interested in applying for employment with Dyson and need a reasonable accommodation for any part of the application process, please send an e-mail with your contact information, the job number of the position for which you are interested in applying, and the nature of your request to or call (312) 706-2260. Determinations of requests for reasonable accommodation are made on a case-by-case basis.