Trainee Data Analyst

TieTalent
Sheffield, United Kingdom
4 months ago
Applications closed

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AI Trainer

We Are Zenith Hebburn, Tyne & Wear, United Kingdom
Hybrid
Posted
11 Feb 2026 (4 months ago)

Our client, a prominent IT and tech industry leader, is seeking a detail-oriented and ambitious Trainee Data Analyst. If you're eager to develop hands-on data skills while working with industry experts, this is the perfect role for you.

Role Overview

You will support data collection, analysis, and reporting efforts to drive business decisions. Working alongside senior analysts, you will gain valuable experience in interpreting data and creating visual insights.

Key Responsibilities

Assist in collecting, analyzing, and interpreting data.

Develop reports, dashboards, and visualizations to support business needs.

Ensure data accuracy and resolve inconsistencies.

Translate business needs into data-driven solutions.

Support automation initiatives for enhanced reporting.

Ideal Candidate

Degree in Mathematics, Computer Science, Statistics, Data Science, or a related field.

Strong analytical mindset and keen interest in data insights.

Familiarity with SQL and Excel (experience with Tableau or similar tools is a plus).

Excellent communication skills for presenting insights to non-technical stakeholders.

Enthusiastic about learning in a dynamic, fast-paced setting.

What’s in It for You?

Structured training program to enhance your data analytics expertise.

Mentorship from experienced professionals.

Opportunities to work on innovative projects.

Supportive and inclusive workplace with career growth potential.

Competitive salary and benefits package.

Take your first step into data analytics—apply today


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Industry Insights

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

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

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. 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.