Product Designer — Analytics & Data Tools (Hybrid, Manchester)

Nexalytica Ltd.

Manchester

Hybrid

GBP 60,000 - 90,000

Full time

6 days ago
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Benefits offered by this job

Equity
Hybrid work
Learning and conference budget
Latest hardware and design tooling
25 days annual leave + bank holidays
Private medical insurance and pension

Job summary

Nexalytica Ltd. is seeking a Product Designer in Manchester to shape data interaction experiences across the analytics platform. You will design the conversational analytics, dashboard builder, and data visualization interfaces, collaborating with engineers and AI researchers to tackle complex design challenges.

You will research user needs, define interaction patterns, build prototypes, and test with real customers, iterating with the team to deliver simple, effective data tools.

Qualifications

  • Strong portfolio demonstrating end-to-end product design for complex, data-rich applications.
  • Experience designing data-rich interfaces with an emphasis on usability and clarity.
  • Proficiency with Figma and modern prototyping tools; experience with design systems.

Responsibilities

  • Shape how users interact with data across the product, including the conversational analytics experience, dashboard builder, and data visualization system.
  • Collaborate with engineers and AI researchers to solve complex design problems and validate ideas with real users.
  • Research user needs, define interaction patterns, build prototypes, test with customers, and iterate with engineering.

Skills

Product design
Analytics
Data visualization
Figma
Prototyping
Design systems
User research
Communication

Tools

Figma
Prototype tools

Job description

Nexalytica Ltd. is seeking a Product Designer in Manchester to shape data interaction experiences across the analytics platform. You will design the conversational analytics, dashboard builder, and data visualization interfaces, collaborating with engineers and AI researchers to tackle complex design challenges.

You will research user needs, define interaction patterns, build prototypes, and test with real customers, iterating with the team to deliver simple, effective data tools.

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