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Data Analyst - Job Opportunity at Conestoga College School of Business

Cambridge, United Kingdom
Full-time
Mid-level
Posted: April 3, 2025
Hybrid
GBP 45,000 - 60,000 per year based on location, required expertise, and academic setting

Benefits

Hybrid work arrangement with 4 days on-site and 1 day remote
Access to state-of-the-art research infrastructure
Academic environment with research opportunities
Professional development and mentoring opportunities

Key Responsibilities

Lead complex biosignal data analysis including EMG and ECG for occupational health research
Develop predictive models and algorithms for injury risk assessment
Manage and integrate large-scale datasets from multiple sources
Create data visualizations and technical reports for stakeholders
Contribute to academic publications and grant proposals
Provide technical mentorship and training to junior team members

Requirements

Education

Master's degree in Occupational Epidemiology, Data Science, Biostatistics, Occupational Biomechanics, Public Health or related field

Experience

Three years of relevant experience analyzing large data sets

Required Skills

Statistical software (R, SPSS, SAS) Signal processing software (MATLAB) Machine learning and predictive modeling Microsoft Office Statistical analysis and modeling Data visualization (Tableau, Power BI) Python and R programming Database management Technical writing and presentation Project management
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Sauge AI Market Intelligence

Industry Trends

Growing integration of biometric data analysis in workplace safety research is creating increased demand for specialists who can handle complex biosignal data Rising focus on predictive analytics for occupational health and safety is driving the need for advanced data analysis skills Increasing adoption of wearable technology in workplace safety monitoring is expanding the scope of data analysis roles

Role Significance

Likely part of a research team of 5-10 members, collaborating with multiple stakeholders across academic and industry partners
Mid to senior-level position with significant technical autonomy and mentorship responsibilities

Key Projects

Occupational health risk assessment studies Biomechanical analysis of workplace activities Predictive modeling for injury prevention Development of workplace safety protocols based on data analysis

Success Factors

Strong foundation in both statistical analysis and biosignal processing Ability to bridge academic research with practical workplace applications Excellence in communicating complex technical findings to diverse stakeholders Capacity to manage multiple research projects while maintaining high data quality standards

Market Demand

High demand with growing trajectory due to increasing focus on workplace safety and health monitoring technology

Important Skills

Critical Skills

Advanced statistical analysis capabilities are essential for processing complex biosignal data and developing predictive models Expertise in signal processing software is crucial for handling EMG and ECG data Strong programming skills in R and Python are necessary for developing custom analysis solutions

Beneficial Skills

Knowledge of ergonomics and biomechanics enhances ability to interpret findings Experience with grant writing can support research funding efforts Familiarity with regulatory compliance in occupational health research

Unique Aspects

Rare combination of data analysis and occupational health research
Access to advanced research facilities including START and STRIDE labs
Direct involvement in translating research to workplace safety practices
Opportunity to influence national occupational health standards

Career Growth

2-4 years in role before advancement, depending on research output and project success

Potential Next Roles

Senior Data Scientist Research Team Lead Occupational Health Research Director Principal Investigator

Company Overview

Conestoga College School of Business

Conestoga College School of Business is a leading academic institution with strong focus on applied research in occupational safety and health

Well-established academic institution with significant research funding and industry partnerships
Major research center in Cambridge region with national impact through The Canadian Institute for Safety, Wellness & Performance
Collaborative academic environment with strong emphasis on research excellence and practical applications
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