- Data Analysis
- Poland - Krakow Office
Dyson is a global technology enterprise. We solve the problems others choose to ignore, with surprising new inventions that defy convention and simply work better. We’re driven by progress and thrive on the challenge of relentless improvement. We’re growing fast and our ambition is huge – more categories, more locations and more people.
Pioneering technology takes more than just inventive engineers. At Dyson, we take a problem- solving approach to everything we do. And across our support teams, we’re proud to be different. And importantly, we support change to maintain our rapid growth.
About the role
Data Quality Analyst will work as part of the Global Master Data Management Team, supporting Dyson business operations and continuous improvement activities by analyzing and increasing quality of our Master Data. This role forms a critical part of success for improving data standards across multiple Master Data areas - Material, Customer, Supplier, Finance and Pricing Data – to enable data driven decision making.
Every day will be different, and you will have the opportunity to develop your existing MDG and S/4 HANA Master Data knowledge and gain experience within a supportive development framework, aligned to your ambitions and abilities. You will define data quality metrics, measure and identify anomalies and areas for improvement, and be recognised for the value you add to the global organization. Your contribution will ensure a high level of Master Data integrity.
Provide data quality expertise
Define, measure, analyse data quality metrics
Identify data quality issues and define root cause of existing gaps
Identify improvement opportunities to eliminate drivers of rework
Ensure a high level of Master Data integrity accordingly to data standards through data analytics
Use your expert knowledge to design data standards proposals
Understand business requirements, data usage and the impact of poor-quality data on the business operations
Support the GMDM Team to ensure that Master Data quality is continually developed to meet changing business requirements
Improve operational efficiency and safeguard data integrity and quality
Contribute to the success of the team performance metrics
Question status quo
Write, maintain and publish global GMDM documentation, including training material as required
Expert knowledge of Master Data structures and objects in ERP systems or in a similar role, where you performed quality analytics of vendor, customer or other types of data
SAP S/4 HANA and SAP MDG
Comprehension of Data Quality frameworks
High proficiency with Office 365 apps (Excel, Word, Teams)
Excellent written and verbal communications ability (English)
Basic understanding of finance and procurement processes
Bachelor’s Degree or equivalent business-related qualification
2-4 years’ experience in Master Data, preferably in multiple of following areas - Material, Supplier, Pricing, Customer, Finance, Data Quality Improvement
You understand how new technologies can be applied to improve accuracy and consistency of data and drive cost to serve down
You can interpret unstructured data into a system requirement
You can communicate and showcase value of quality Master Data
You worked in Business Services Centre environment
You are energetic, assertive, resilient and motivated by challenges
You have an inquisitive mind-set and can collaborate with individuals and teams both cross-functionality and geographically, with the ability to build a strong network
You are comfortable with ambiguity
Performance related bonus
Accidental Death and Dismemberment Insurance
Pension scheme with competitive employer contributions
Free fruit delivered for office staff, free coffee and tea
Cafeteria Benefit – wellness programme, cinema tickets, Multisport card etc.
Possibility of working from home
Medical: Employee cover + opportunity to buy additional cover for family
Employee Assistance Program for employee and dependents
Reimbursement for costs of eyeglasses (every 2 years)
Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.