Social Media Data Analyst Apprentice

Back 2 Work Complete Training

Birmingham

9 months ago

Applications closed

Related Jobs

View all jobs

Data Analyst

Junior IT Support Engineer & Data Analyst

Data Analyst - Adult Social Care

Finance Data Analyst

Clinical Systems Data Analyst / System Administrator

Technical Building Data Analyst

Our Client, is an international media and marketing consultancy. They work with brands to grow their business by talking to the 'right' consumers at the 'right' time, with the 'right' messages. They specialise in media strategy, planning/buying, auditing, lead generation & training.

They are looking for a rock-star data analyst, who will offer analysis and insights to help them acquire customers at scale. You will extensively interact with other teams such as, Sales, Operations, and Marketing. Your input will help shape business decisions and marketing budget investments.

KEY DUTIES

Leverage data to understand in depth paid marketing channel performance across PPC, SEO, paid social media, YouTube, GDN, and others
Identify areas for growth and support campaign managers to implement changes for growth
Extract and analyse data to interpret impact of tests on marketing performance (e.g. cost per lead, cost per acquisition, pipeline growth, ROI).
Provide analytical framework and support to evaluate brand and top of funnel campaigns that increase their audience.
Collaborate with Localization and regional marketers to analyse campaign performance and pipeline growth internationally
Collaborate with campaign managers on account analysis to support ABM efforts
Document key finding for growth opportunities
Conduct ad-hoc analyses on key areas of the business

CANDIDATE REQUIREMENTS
Independent skills
Team work skills
Organisational skills
Good written and oral communication skills
Self-Motivated

Sound like you? Then send us an application and we will let you know if you are suitable for this position, or one of the other roles we have available

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.