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About Us
We're Dyson. We solve the problems others ignore, engineering solutions with ingenuity and science – and we never stop exploring new frontiers. Our data mission is expanding fast: new categories, channels, and opportunities to stretch the value of analytics.
About The Role
As Dyson’s DBS Reporting & Analytics Manager, you’ll lead a multidisciplinary team of analytics specialists, data engineers, and data scientists. Your primary mission: to architect, advance, and scale Dyson’s analytical capability—turning data into actionable business insights that drive competitive advantage and innovative thinking.
You’ll report to the Senior Manager, DBS Reporting & Analytics, and act as a senior voice in analytics, technical delivery, strategic insight, and the application of machine learning across Dyson’s global business.
Key Responsibilities
Strategic Analytical Leadership
We're Dyson. We solve the problems others ignore, engineering solutions with ingenuity and science – and we never stop exploring new frontiers. Our data mission is expanding fast: new categories, channels, and opportunities to stretch the value of analytics.
About The Role
As Dyson’s DBS Reporting & Analytics Manager, you’ll lead a multidisciplinary team of analytics specialists, data engineers, and data scientists. Your primary mission: to architect, advance, and scale Dyson’s analytical capability—turning data into actionable business insights that drive competitive advantage and innovative thinking.
You’ll report to the Senior Manager, DBS Reporting & Analytics, and act as a senior voice in analytics, technical delivery, strategic insight, and the application of machine learning across Dyson’s global business.
Key Responsibilities
Strategic Analytical Leadership
- Lead, inspire, and scale a high-impact analytics team; drive technical and analytical excellence, promote innovative problem solving, and deliver measurable commercial outcomes.
- Architect Dyson’s analytical ecosystem: Set and enforce standards spanning data modeling (dbt), warehouse optimisation (BigQuery), and robust data ingestion (Fivetran), blending best practice with fit-for-purpose agility.
- Advance reporting platforms: Drive the evolution of executive and operational analytics—build scalable visualizations (Tableau, Power BI) and enable advanced self-service capabilities.
- Elevate analytics maturity: Embed advanced modeling (predictive, prescriptive), AI/ML integration, and decision intelligence across analytics projects and dashboards.
- Oversee end-to-end pipeline management: Design, orchestrate, and optimize automated data pipelines (i.e. Fivetran), proactive workflow monitoring.
- Accelerate innovation: Deploy serverless architectures (Azure/Google Cloud Functions) to automate, scale, and extend analytic and data processing capabilities.
- Operationalize data science: Collaborate with data science teams to productionize ML solutions (Vertex AI or similar), synthesizing outputs directly into business reporting.
- Implement data governance at scale: Steward Atacama-powered frameworks for profiling, quality, lineage, and master data management.
- Innovate in business partnering: Act as a strategic analytics thought partner—frame business problems with data, run collaborative solutioning, and deliver compelling insight narratives to senior leaders.
- Champion data democratization: Curate SharePoint knowledge hubs, document data dictionaries, and advocate self-service analytics adoption.
- Define analytics impact: Establish and track clear SLAs, KPIs, and ROI for advanced analytics projects, ensuring transparent value delivery.
- Lead change: Foster a high-performance, learning-focused team culture—encouraging experimentation, continuous upskilling, and a passion for analytics excellence.
- Proven leader, able to scale high-calibre analytics/BI/data engineering teams and deliver global, commercial analytics impact.
- Deep technical experience: designing modular analytics with dbt/bigQuery/Tableau; architecting multi-layered data models; optimizing and automating robust dataflows.
- Experienced in advanced analytics—AI/ML workflow integration (Vertex AI, SageMaker, DataRobot, etc.); predictive modeling; translating technical outputs into practical business insight.
- Hands-on with modern data engineering stack (i.e. Fivetran); designing best-in-class data governance, quality, and master data management.
- Adept with process automation and integration (Power Automate, cloud functions); proven in data storytelling and visually engaging executive reporting (Tableau, Power BI, Looker).
- Strong business acumen—skilled at framing challenges, advocating for analytics, and tailoring findings for non-technical and C-suite audiences.
- Passionate about continuous innovation, learning, and empowering those around you.
- Competitive starting salary: from PLN 222,600 annually (for a full-time position), with potential for a higher offer based on skills and experience
- Performance bonus opportunity
- Employee Capital Plan (PPK)
- Employee Savings Plan (PPO)
- Company-paid life insurance
- Holiday allowance
- Allowance for corrective glasses and contact lenses
- Subsidised on-site canteen
- Exclusive discount on Dyson products
- Comprehensive private medical insurance
- Employee Assistance Programme (EAP)
- Benefits platform with Multisport card
Key Skills
Ranked by relevance
power bi
tableau
cloud
ai
machine learning
storytelling
serverless
c
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- Posted
- Feb 04, 2026
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Cracow
- Company
- Dyson
Industries
Appliances
Electrical
Electronics Manufacturing
Categories
Research
Analyst
Information Technology
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3 roles aligned with this opportunity
View Job Details
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2026-05-27
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Appliances
Engineering
View Job Details
Related
Senior Data Scientist
2026-05-20
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View Job Details
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Junior HR Operations & Reporting Analyst (m/f/d)
2026-05-21
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