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 use of, and influence of, analytics function within the business and the focus for this Analytics and Data Science Lead role being on commercial performance. Become a vital part of a passionate team who are enabling the business to make critical business decisions using leading edge data analytics. Bring a new perspective on data and how it can be used to solve challenges across the organisation. Your output will be essential in enabling insight driven decision-making within the business. The role involves managing a small team (c4) 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 for the business and maintain 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, seek to 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
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 Creating and using numerical models and solving optimisation problems 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! Seniority level
Mid-Senior level Employment type
Full-time Job function
Analyst Industries: Staffing and Recruiting
#J-18808-Ljbffr
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 use of, and influence of, analytics function within the business and the focus for this Analytics and Data Science Lead role being on commercial performance. Become a vital part of a passionate team who are enabling the business to make critical business decisions using leading edge data analytics. Bring a new perspective on data and how it can be used to solve challenges across the organisation. Your output will be essential in enabling insight driven decision-making within the business. The role involves managing a small team (c4) 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 for the business and maintain 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, seek to 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
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 Creating and using numerical models and solving optimisation problems 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! Seniority level
Mid-Senior level Employment type
Full-time Job function
Analyst Industries: Staffing and Recruiting
#J-18808-Ljbffr
