Home > Apprenticeships >Data Analyst Apprentice PSE Offline Marketing

Data Analyst Apprentice PSE Offline Marketing

APPLY TO THIS JOB

About Data Analyst Apprentice PSE Offline Marketing

  • Salary:£26,000.00
  • Working Week:Monday - Friday, 8:45am - 5:15pm.
  • Working Hours:Total hours per week: 37.5
  • Duration:21 Months
  • Start :4-Apr-23
  • Level :Higher Level 4 (Higher national Certificate)
  • Reference Number :VAC1000143814
  • Available Positions :1 available

Job Description

Data selection and segmentation of data lists Prepare data files for offline marketing campaigns Request, standardise and manipulate data to find insight, trends and findings for PSE and its partners Use modelling, data visualisation, audience building and segmentation to add value to PSE’s partnership proposition Data visualisation and modelling Build new data sets

Required Skills & Qualification

Attention to detail, Problem solving skills, Analytical skills

GCSE or equivalent English (Grade C/4) EssentialGCSE or equivalent Maths (Grade C/4) EssentialA Level or equivalent Any Subject x 3 (Grade D) Essential

Apprenticeship Standard

Data analyst Level 4 (Higher national Certificate)

Employer

PSE Offline Marketing

10 ROMAN WAY BUSINESS CENTRE BERRY HILL INDUSTRIAL ESTATE DROITWICH WR9 9AJ

Provider

BALTIC TRAINING SERVICES LIMITED

APPLY TO THIS JOB

Related Apprenticeship

Customer Service Expert Apprenticeship Motus Truck and Van - Witham
View
Early Years Educator Apprenticeship BRENTRY & HENBURY CHILDRENS CENTRE LTD
View
Motor Vehicle Technician Apprentice level 3 TOTTINGTON MOT CENTRE LTD
View
Hairdressing Apprentice
View
Dental Nurse Apprentice
View
Hyundai Parts and Service Advisor Apprentice Marshall Hyundai Worcester
View

Scholarships

A New Lightweight Cryptographic Protocol With Public Blockchain Integration for Privacy Preserving Federated Learning in Resource-Constrained IoT Networks at University of Southampton
View Scholarship
Advanced Drivetrain Monitoring through use of Machine Learning and Optical Fibre Speckle Patterns (GE Aerospace) at University of Southampton
View Scholarship
Advanced Rotor-Stator Interactions Through Bearings at University of Nottingham
View Scholarship
Automated Hydrodynamic Characterisation for Seakeeping and Manoeuvring Performance from Focused Experimental Datasets at University of Southampton
View Scholarship
RELATED ARTICLE