Data analysis and insight manager jobs (45)

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Robertson Bell
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Page 1 of 3
Cambridge, Cambridgeshire
£50,184 - £55,760 per year
Permanent, Full-time
Job description

Data Engineering Manager

Our client is a professional body, a membership organisation and an international publisher with the goal of advancing excellence in the chemical sciences. With close to 600 employees, based in Cambridge, London and internationally, they do this by publishing high quality chemistry journals, books and magazines, by engaging with their circa 54,000 members and by interacting with their community to raise the profile of chemistry and ensuring high quality standards within the chemical sciences. As a result they are always changing and evolving to meet its customer, member and chemistry community’s needs both for the present and future.

Position: Data Engineering Manager
Location: Cambridge (commutable from Alconbury, Bedford, Bury St Edmunds, Cambridgeshire, Cambridge North, Cherry Hinton, Chesterton, Ely, Fen Drayton, Fenstanton, Histon & Impington, Hitchin, Huntingdon, Longstanton, Milton, Newmarket, Northstowe, Oakington, Orchard-Park, Royston, Saffron Walden, Somersham, St Ives, St Neots, Stevenage, Swavesey, Waterbeach, Wyton and surrounding areas)

Job type: Full Time, Permanent
Hours: 35 hours per week) basis
Salary: £50,184 to £55,760 per annum plus benefits
Benefits: Excellent contributory pension scheme, generous paid holidays, 35-hour (for full-time staff) working week, learning and career development, subsidised staff restaurant (Cambridge office), staff sports and social club, free private healthcare plan, income protection scheme, critical illness insurance, life assurance, free on-site parking (Cambridge office), season ticket, car / motor cycle and cycle to work schemes, membership subscription, employee assistance programme, eye-care at work scheme, wellness initiatives, flexible work environment, employee recognition, long service awards, membership subscription to professional body and our client, two discounted staff flats on-site (Cambridge office), Litmus reward gateway benefits and more.

Closing Date: 13 April 2020

About the role:

Our client has an opportunity for a Data Engineering Manager to join on a permanent full-time (35 hours per week) basis, at their Science Park, Cambridge office (free on-site parking, close to the guided bus and Cambridge North rail station).

As a Data Engineering Manager for our client, you will manage a team of data engineering and application specialists and will be responsible for data management across the organisation. This role is technical in nature and also requires excellent soft skills, with a good understanding of the principles of and technologies behind data management. The main focus of the role involves running projects to ensure that data is collected, standardised and presented so that it is valuable to the organisation.

Responsibilities:

- Collaborating with a diverse set of users and stakeholders with different levels of knowledge to ensure that data management practices are adopted.
- Actively identifying and clearly and objectively communicating needs and results.
- Overseeing the designing, build and deployment of required data management solutions.
- Defining the data governance and associated processes required for standardising data.
- Leading, managing and developing a team of data professionals to deliver data as an asset.
- Keeping up-to-date with new technologies, CRM solutions and developments, along with appropriate best practices to deliver innovative customer insight, and analysing and reporting back developments that might be beneficially initiated or developed.
- Overseeing data integrity and customer data governance, ensuring that data is maintained and used effectively, adhering to compliance and privacy rules and establishing system and data best practices.
- Devising, managing and monitoring data management expenditure, ensuring cost-efficient and effective delivery, on time and to budget.

About you:

- Graduate in a scientific or numerate discipline. Higher degree (PhD) preferred.
- Understanding of data governance and standardisation.
- Robust knowledge of the existing and emergent regulatory and compliance context for data privacy and protection.
- A commercial mind-set and evidence of effective budget management to maintain a cost-effective and efficient service.
- Able to learn new technologies, keep abreast of best practice and apply concepts to needs.
- Able to clearly communicate technical concepts to a non-technical audience, with demonstrable stakeholder management skills.

Desirable:

- Highly desirable to have AWS data warehousing experience. This includes familiarity with data related AWS technologies including databases (especially Redshift and DocumentDB), pipelining (e.g. using AWS lambda) and associated core technologies (e.g. SNS / SQS).
- Previous experience in building a data warehouse in a complex organisation (preferably publishing or membership organisation) highly desirable.
- Previous experience in management of technical teams highly desirable.
- Higher PhD in a scientific or numerate discipline.
- Knowledge and experience in data analytics (statistics, predictive analytics, machine learning).
- Experience in managing data management projects and technical teams.
- Understanding of digital marketing strategies, marketing automation, lead generation and qualification.

If you are interested in this opportunity, please apply before the end of the closing date.

You may have experience of the following: Data Engineer, Data Analyst, Database, SQL, Quality Assurance, Degree, Science, Chemistry, Data Management, Data Engineering Manager, etc.

Ref: 92765

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Posted on: 20 March 2020
Closing date: 18 June 2020
Job ref: 92765
Tags: IT
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