Find The Best Job Vacancies in Various industry sectors 12631+ Job Vacancy


Apply jobs • Apply directly to companies • Clear salary ranges

Browse 12631 List Available Job Vacancies Today. We Have Worked with 2000+ Trusted Companies around the world


DMGT Logo

Data Analyst Apprentice

316a784

Chelsea, England

1 day ago

21000 GBP ANNUAL

DMGT

www.dmgt.com

London, United Kingdom

Paul Zwillenberg

$2 to $5 billion (USD)

Company - Private

1896


Job Description

Data Analyst Apprentice – New Scientist

Location: Kensington, London - W8 5TT

Contract: Permanent

Salary: £21,000 per annum

Workplace type: On-site


Package Description

In return for their energy and ideas we ensure our people are well rewarded. Our benefits package increases the longer you've been with us. Here's what to expect:

  • 29 days' holiday
  • Upon joining you will be automatically enrolled onto the Pension Plan at the minimum level of 5% employee, 4% Company contribution.
  • Life cover under the Pension Plan of up to 4x your basic salary.
  • DMGT Discounts (for discounts on online shopping, vouchers and reloadable cards)
  • Subsidised canteen
  • Onsite gym (Northcliffe House only)
  • Onsite nurse and GP clinics (Northcliffe House only)
  • Our Employee Assistance Programme
  • Discounted dining cards
  • Private Medical Insurance – Bupa
  • Flexible Working policy
  • Free gym membership at Northcliffe House Gym
  • Eye care assistance
  • Family Friendly policies
  • Employee Assistance Support
  • Access to the magazine
  • Access to newscientist.com, New Scientist app
  • Invites to NS Events

Plus many other benefits….


Job Introduction

We are New Scientist

New Scientist is the world's most popular weekly science and technology publication. Their website, app and print editions cover international news from a scientific standpoint, and ask the big-picture questions about life, the universe and what it means to be human.

You will have the opportunity at New Scientist to support the management of customer data and developing the analytics capabilities to help New Scientist understand and grow the business. The role will focus on supporting the marketing team with data management and insights across all New Scientist products.


Main Responsibilities

  • Data collection, analysis and tracking of all live campaigns
  • Providing insight into campaign performance and reporting back into your team and to clients
  • Identifying areas to increase efficiency and automation of processes
  • Using data to help the team with forecasting and planning
  • Marketing data management for campaigns with segment creation, list management and monitoring of automated data feeds and integrations, create reports and provide data-led solutions for campaign optimisation
  • Supporting every aspect of the customer journey and ensuring that campaigns are tracked and can be reported on to monitor performance and inform decision making
  • Working with the Tech team to develop the analytics solutions and infrastructure
  • Forecast modelling of subscription acquisition and retention, across all products and territories
  • Identifying patterns and trends and make recommendations to improve business sales, revenue and other relevant KPIs
  • Providing reporting and insights on performance data and analytics such as traffic, engagement, and conversion
  • Supporting the marketing team with actionable analysis in delivery of acquisition and retention objectives

You will need the following skills:

  • Excellent numerical and analytical skills
  • Knowledge of data analysis tools - you don't need to know all of them at entry level, but you should show advanced skills in Excel
  • Knowledge of data modelling, data cleansing, and data enrichment techniques
  • Ability to mine and analyse large datasets and to draw conclusions relevant to business objectives
  • Basic knowledge of Google Analytics or other web analytics
  • The capacity to develop and document procedures and workflows
  • The ability to carry out data quality control, validation and merging
  • An understanding of data protection issues
  • An awareness and knowledge of industry-specific databases and data sets
  • Experience of statistical methodologies and data analysis techniques
  • The ability to produce clear graphical representations and data visualisations
  • Positive, energetic, can-do attitude – a problem solver that is naturally inquisitive

Entry requirements:

Standard entry:

  • Level 3 qualification (apprenticeship/A-levels/BTEC, etc)
  • OR equivalent work experience (typically two years in a relevant role)

Plus:

  • 5 GCSEs, including English and Maths at Grade 4 (C) or above
  • Experience with using Excel and Microsoft products (or similar)

You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.

If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications.

Find out more here: https://www.enic.org.uk/Qualifications/UKQRS/Default.aspx

Important information:

QA's apprenticeships are funded by the Education & Skills Funding Agency (ESFA), an executive agency of the Department for Education.

To be eligible for a Government funded apprenticeship you must have lived in the UK or European Economic Area (EEA) for the last 3 consecutive years.


Working for New Scientist

New Scientist is an Equal Opportunity Employer. All applications to New Scientist will receive due consideration regardless of gender, ethnicity, religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy or maternity, trade union membership or membership in any other legally protected category.

As an organisation, we strive for empathy, self-awareness, courage and integrity, collaboration, innovation and information seeking. All applications are reviewed in an anonymous nature and hiring managers are unable to see the personal information of applicants. This practice allows us to review skills and experience and removes bias from the recruitment process. We aim to create an inclusive environment, empowering employees and embracing diversity. We welcome all applications.


Apply Go Back

Share This Job

LinkedIn
Reddit
WhatsApp
Telegram

Related Jobs

Day Service Support Worker
Day Service Support Worker
Pineapple Support Services Ltd
Hinckley, England
1 day ago

Apply
Software Engineer
Software Engineer
Datasource
Remote
2 days ago

Apply
Warehouse operative with FLT
Warehouse operative with FLT
ASC Connections
Coventry, England
1 day ago

Apply
Software Developer (Engineer) 2023 Programme
Software Developer (Engineer) 2023 Programme
CGG
Crawley, West Sussex, South East England, England
1 day ago

Apply
Urban Outfitters Visual Coordinator - Oxford, UK
Urban Outfitters Visual Coordinator - Oxford, UK
Urban Outfitters
Oxford, England
2 days ago

Apply