Data Analyst

NGE Sports; Greater Manchester; On-site; GBP 30,000 - 50,000; Full time

Job summary

NGE Sports is seeking a data analyst to revolutionize Vision AI technology in a collaborative environment. The role involves conducting detailed data analysis, managing internal teams, and supporting product development. You will leverage advanced statistical techniques and technology tools to provide critical insights and drive successful outcomes in performance management.

Benefits

Opportunities for continuous learning and professional growth

Competitive salary and benefits package

Collaborative work environment

Work on impactful projects

Flexible work model

Qualifications

• Degree with strong statistical background required.
• Experience with databases and statistical tools.
• Demonstrated statistical skills necessary.

Responsibilities

• Conduct data analysis and communicate insights to stakeholders.
• Manage video analysis teams and ensure consistency of outputs.
• Support business scaling and monitor project trials.

Skills

Statistical skills

Analytical skills

Communication

Problem-solving

Organisational skills

Education

Degree in Mathematics, Physics, Geo-physics, Data Science

Tools

Microsoft Azure

Power BI

Python

SQL

Git

Microsoft Office Suite (Excel, PowerPoint)

Job description

SeeChangeis a dynamic startup revolutionizing Vision AI technology. With a team boasting over 436 years of combinedexpertiseand €45 million in platform investment,they’vesecured 15 patents (andcounting).Their mission is to empower people through technology by integrating Vision AI into existing systems, enabling customers to seewhat'simportant and change outcomes.

Reporting to:

• Head of Global Business Delivery
  
  

Key Responsibilities:

Work with Commercial Delivery team to:

• Conduct data analysis based on current deployments and communicate key insights through reports, presentations and visualisations to stakeholders.
• Manage external and internal video analysis teams, perform moderation of results to ensure consistency of outputs in order to deliver reporting in accordance with client reporting schedule.
• Use video analysis outputs to generate regular internal assessments of the solution performance, identify areas of improvement and guide product requirements to achieve a solution performance level which meets customer expectations.
• Support business scaling as needed: e.g. build internal and external reporting required for tracking client rollout progress.
• Proactively monitor trials and roll-outs, identify potential incidents/ bugs and notify/ work closely with the Support team to resolve them.

Work with Data Engineer to:

• Develop data warehouse configuration specifications.
• Alerting requirements and dashboard development.
• Develop production deployment reporting schema to align with customer dashboarding.
• ROI related statistics.

Work with Product team on:

• Customer reporting requirements elicitation and documentation.
• Informing product requirements.

Work with Marketing team to:

• Analyse and report on market trends.
• Support competitor analysis activities.
  

Qualifications and training:

• Degree with strong statistical background (e.g. Mathematics, Physics, Geo-physics, Data scientist).
• Database experience.

• Demonstrated statistical skills.

Technology and tools experience:

• Microsoft Azure, dashboarding (e.g. Power BI).
• Microsoft suite - Excel, Powerpoint etc.

• Languages: Python, SQL, Git.

• Working towards more complex modelling of the data using innovative methods.

• Knowledge of Machine Learning: Classification (Random Forest, Decision Trees, KNN), Regression.
• Modelling (linear, sparse, logistic), Principal Component Analysis (PCA, PCR), clustering (K-means).
  
  

Profile:

• Strong analytical skills, ability to generate strong insights and build convincing stories.
• Good communication and problem-solving skills.
• Good organisational skills.
• Excellent time management.
• Perseverant and resourceful.
  

Why Join Us?

• Be part of a passionate, talented team in a collaborative environment.

• Work on innovative projects that make a global impact.

• Opportunities for continuous learning and professional growth.

• Competitive salary and benefits package.

• Enjoyworkmodel that balances flexibility with team interaction.