National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Analyst Developer

Workable
Tyne and Wear
6 months ago
Create job alert

Role: Data Analyst / Developer

Company: Infotel UK

Location: Newcastle Upon Tyne

Full-time permanent position

Infotel UK is a thriving consulting company driven by our desire for innovation. We work with companies worldwide to improve their business output through strategic IT systems and applications. We offer a fantastic opportunity in a thriving and challenging environment to further your development and analytical skills alongside other passionate IT professionals.

The role

We are seeking a skilled Data Analyst, with SQL and Oracle experience to join our integration team. In this role, you will be responsible for working with clients on data management.

Key Responsibilities:

  • Configuring data management tools to meet client specifications
  • Writing efficient SQL queries, stored procedures, and triggers
  • Performing comprehensive unit testing
  • Creating solutions to resolve database issues and performance bottlenecks
  • Collaborating with cross-functional teams to ensure data integrity and system stability

Requirements

Requirements:

  • Database analysis and basic SQL skills
  • Experience in writing SQL queries, stored procedures, and triggers
  • Experience with performance tuning of databases
  • Ability to collaborate effectively with cross-functional teams
  • Excellent communication and problem-solving skills
  • Nice to have experience of working within a consultancy setting

Benefits

What we offer

  • A company culture based on respect, transparency, and equality.
  • Flexible work hours and hybrid remote work.
  • Private Pension Scheme
  • 25 days holiday plus bank holidays
  • Training and Career progression

Sharing the culture

Infotel is an equal opportunity employer and we pride ourselves on our diversity. That includes your gender identity, sexual orientation, religion, ethnicity, age, or disability status.

We have an incredible team ethic; we work together to consistently deliver for our clients. We host after work gatherings and other in-house events to ensure our team members develop strong relationships and enjoy their work environment.

Apply today with your CV! All applications will be treated with strict confidentiality

Related Jobs

View all jobs

Rectification Data Analyst

Rectification Data Analyst

Rectification Data Analyst

Rectification Data Analyst

Data Analyst – PowerBI Developer and MS Fabric Specialist

Data Analyst

National AI Awards 2025

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

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.