Data Analyst

Harnham; Manchester; Hybrid; GBP 30,000 - 50,000; Full time

Job summary

A leading company in the retail sector is seeking a Data Analyst to enhance their computer vision systems and automation solutions. The role includes gathering analytical data from manufacturing, contributing to predictive analytics, and creating dashboards using Tableau. Applicants should have experience with data visualization tools and relevant educational background. This hybrid position requires 3 days in the office in Manchester.

Qualifications

• Experience with Data Visualisation tools like Power BI or Tableau.
• Exposure to Python and SQL.
• A relevant degree is required.

Responsibilities

• Develop and optimize computer vision systems for quality inspection.
• Gather and analyze manufacturing data, assist with AI projects.
• Build and maintain Tableau dashboards for real-time insights.

Skills

Data Visualisation tools

Python

SQL

Education

Degree in Engineering, Computer Science, Data Science, Manufacturing or a related field

Job description

This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Harnham

Hybrid - Manchester (3x days in the office)

THE COMPANY

Our client, a family-owned retail organization, is seeking to hire a Data Analyst.

THE ROLE

Contribute to the development and optimization of computer vision systems for quality inspection, as well as automation solutions integrated with SCADA, PLCs, and industrial sensors.

Support cross-functional teams by gathering and analyzing manufacturing data, assisting with AI and predictive analytics projects, and helping document system requirements and implementation processes.

Building and maintaining Tableau dashboards for real-time insights and participate in technology trials, validations, and report generation.

SKILLS AND EXPERIENCE

Experience with Data Visualisation tools - Power BI, Tableau or similar

Exposure to Python, SQL or similar

A degree in Engineering, Computer Science, Data Science, Manufacturing, or a related field.

APPLY

Send an email to [e-mail]

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Analyst

• Industries

  Retail

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