Data Analyst

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.

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