Senior Data Analyst (2 roles)

Transmissiondynamics; Cramlington; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading technology company in Cramlington is seeking a Senior Data Analyst to drive analytics for complex data from IoT applications. The role involves end-to-end project delivery, requiring expertise in Python and SQL, along with experience in AI/ML implementations. Successful candidates will lead analyses and mentor junior team members, contributing to innovative solutions across various engineering domains. Competitive perks and a collaborative work culture are offered.

Benefits

Collaborative team culture

Workplace Pension Scheme

Electric Car Scheme

Qualifications

• 5+ years of experience in data analysis or a related role.
• Proficient in Python and SQL for data manipulation.
• Experience implementing AI/ML models in commercial settings.
• Strong knowledge of statistical analysis.

Responsibilities

• Lead the process of collating and analysing complex datasets.
• Implement advanced AI/ML solutions to enhance analysis.
• Mentor junior team members in data practices.
• Develop client-facing reports and dashboards.

Skills

Data analysis

Python

SQL

AI/ML implementation

Statistical analysis

Project leadership

Job description

Job Title: Senior Data Analyst X 2

Job Types: Full-time, Permanent

Location: United Kingdom

About The Role

As a Senior Data Analyst, you will take a leading role within our small and effective engineering team, driving the strategy for how we analyse complex data from our global IoT applications. You will be responsible for the end-to-end delivery of data projects, from researching cutting-edge AI/ML techniques to presenting actionable insights to clients. Your expertise will be crucial in unlocking the value from data gathered in challenging environments, including from wind turbines, trains, and escalators.

Key Responsibilities

• Leading the end-to-end process of collating, processing, and analysing complex datasets, including strain, vibration, audio, and image signals.
• Owning the research, identification, and implementation of advanced Artificial Intelligence and Machine Learning solutions to enhance our analytical methods.
• Mentoring junior team members and promoting best practices in data analysis.
• Serving as a key liaison between the data team and the wider engineering team, applying complex calculations and simulations to data.
• Architecting and developing client-facing reports and dashboards to communicate findings effectively.

Skills & Experience (Essential)

• 5+ years of experience in a data analysis, data science, or a related role.
• Advanced proficiency in Python and SQL for complex data manipulation and analysis.
• A proven track record of successfully implementing AI/ML models in a commercial environment.
• Strong knowledge of statistical analysis and broad engineering principles.
• Demonstrated ability to lead projects and communicate complex technical concepts to non-technical stakeholders.
• An innate desire to achieve elegant, high-quality output in all work.

Skills & Experience (Desirable)

• Significant experience working with signal data (strain, vibration, audio) or computer vision.
• Experience in the mechanical engineering field.
• Experience mentoring or managing junior colleagues.

What We Offer

• A collaborative and supportive team culture built on honesty, humour, and integrity.
• The autonomy to lead and shape high-impact data projects.
• A learning environment where you are encouraged to push the boundaries of our technical capabilities.
• Close collaboration with a multi-disciplinary team.
• Workplace Pension Scheme.
• Electric Car Scheme.

How to Apply

Please send your CV and a short covering letter outlining your relevant experience, salary expectations, and your eligibility status to work in the UK. We welcome applications from all candidates who have the right to work in the United Kingdom. Candidates must possess the necessary work authorisation to be considered.

Please note we do not recruit from agencies, and previous applicants need not apply