Analytics and Data Science Lead
Negotiable to £70,000 DOE plus generous bonus potential + benefits
Full time/Hybrid working: 3 days in TW6, Middlesex offices & 2 days home/remote
Job Reference: J12908
Full UK working rights required; no sponsorship available
THE ROLE Looking for a challenge in one of the world's largest airfreight logistics organisations and a FTSE 100 company?
A new role due to the growth of the analytics function within the business, with a focus on commercial performance.
Become a vital part of a passionate team enabling the business to make critical decisions using leading-edge data analytics. Bring a new perspective on data and how it can solve challenges across the organisation. Your output will be essential in enabling insight-driven decision-making.
The role involves managing a small team (approximately 4) to deliver leading-edge data exploitation, analysis, and modelling. Your team will own a portfolio of reports, models, and dashboards, provide analytical expertise, and act as champions for data development needs. You will lead the team to deliver robust and reliable data and advanced analytical solutions while maintaining the quality of management information through continuous improvement.
The Analytics and Data Science Lead should have a strong enthusiasm for problem-solving and a passion for data. They will be expected to provide analytical expertise, identify data gaps, and proactively develop the data agenda in line with business priorities, as well as challenge business leaders to become truly data-driven. A positive thinker with plenty of curiosity would be ideal for this role.
PERSON SPECIFICATION Skills
Effective at people management
Highly analytical, logical, creative thinker
Proven ability to structure problems
Able to refine and clarify vague requirements
Experienced in delivering metrics, analyses, visualisations, and statistical models
Ability to lead the direction of analytical projects
Can prioritise workloads and manage tight deadlines
Strong stakeholder management, influencing, and interpersonal skills
Ability to communicate and present to all levels
Interpretation and analysis of business performance to inform decision-making
Applies statistics to summarise data, identify trends, forecast, and predict outcomes
Project management and planning
Highly effective team worker
Strong business acumen and commercial awareness
Technical skills: Data analysis, visualisation, statistical modelling, predictive analytics
Experience Essential Experience
Analysing complex issues, packaging findings, and presenting effectively to stakeholders
Managing databases and/or blending data
Designing data for management information purposes
Leading the direction of analytical projects
Working knowledge of data engineering pipelines
Hands-on programming experience
Visualising data and presenting trends and findings for broad audiences
Desirable Experience
Creating and using numerical models and solving optimisation problems
Tableau Certified
Use of cloud-based data tooling e.g. AWS S3, Snowflake
Working knowledge of Spanish
Use of specific analytical tools: Tableau, SQL, Python, Business Objects
If you would like to hear more, please do get in touch.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website:
www.datatech.org.uk
#J-18808-Ljbffr
Negotiable to £70,000 DOE plus generous bonus potential + benefits
Full time/Hybrid working: 3 days in TW6, Middlesex offices & 2 days home/remote
Job Reference: J12908
Full UK working rights required; no sponsorship available
THE ROLE Looking for a challenge in one of the world's largest airfreight logistics organisations and a FTSE 100 company?
A new role due to the growth of the analytics function within the business, with a focus on commercial performance.
Become a vital part of a passionate team enabling the business to make critical decisions using leading-edge data analytics. Bring a new perspective on data and how it can solve challenges across the organisation. Your output will be essential in enabling insight-driven decision-making.
The role involves managing a small team (approximately 4) to deliver leading-edge data exploitation, analysis, and modelling. Your team will own a portfolio of reports, models, and dashboards, provide analytical expertise, and act as champions for data development needs. You will lead the team to deliver robust and reliable data and advanced analytical solutions while maintaining the quality of management information through continuous improvement.
The Analytics and Data Science Lead should have a strong enthusiasm for problem-solving and a passion for data. They will be expected to provide analytical expertise, identify data gaps, and proactively develop the data agenda in line with business priorities, as well as challenge business leaders to become truly data-driven. A positive thinker with plenty of curiosity would be ideal for this role.
PERSON SPECIFICATION Skills
Effective at people management
Highly analytical, logical, creative thinker
Proven ability to structure problems
Able to refine and clarify vague requirements
Experienced in delivering metrics, analyses, visualisations, and statistical models
Ability to lead the direction of analytical projects
Can prioritise workloads and manage tight deadlines
Strong stakeholder management, influencing, and interpersonal skills
Ability to communicate and present to all levels
Interpretation and analysis of business performance to inform decision-making
Applies statistics to summarise data, identify trends, forecast, and predict outcomes
Project management and planning
Highly effective team worker
Strong business acumen and commercial awareness
Technical skills: Data analysis, visualisation, statistical modelling, predictive analytics
Experience Essential Experience
Analysing complex issues, packaging findings, and presenting effectively to stakeholders
Managing databases and/or blending data
Designing data for management information purposes
Leading the direction of analytical projects
Working knowledge of data engineering pipelines
Hands-on programming experience
Visualising data and presenting trends and findings for broad audiences
Desirable Experience
Creating and using numerical models and solving optimisation problems
Tableau Certified
Use of cloud-based data tooling e.g. AWS S3, Snowflake
Working knowledge of Spanish
Use of specific analytical tools: Tableau, SQL, Python, Business Objects
If you would like to hear more, please do get in touch.
Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme.
Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data. For more information, visit our website:
www.datatech.org.uk
#J-18808-Ljbffr
