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

Nominate & Attend

SAS Developer

Infotel UK
Newcastle upon Tyne
7 months ago
Applications closed

Related Jobs

View all jobs

SAS Data Engineer

Data Scientist Python Software - London

Data Scientist Python Software - London...

Rectification Data Analyst

Rectification Data Analyst

Rectification Data Analyst

Infotel UK Consulting (part of Infotel Group) is looking for an experienced SAS Developer to join our dynamic team. As a SAS Developer, you will be responsible for designing, developing, and implementing data integration and analytics solutions using SAS software. You will work closely with data analysts, business stakeholders, and other IT teams to gather requirements and create reports and dashboards that drive business decisions. This is a fantastic opportunity to engage in innovative projects and contribute to the success of our clients across various industries.


Responsibilities

  • Develop and maintain SAS programs for data manipulation, statistical analysis, and reporting.
  • Collaborate with stakeholders to understand business needs and translate them into technical requirements.
  • Create comprehensive documentation for SAS processes and workflows.
  • Ensure data integrity and accuracy by conducting thorough testing and validation.
  • Support and improve existing SAS solutions and workflows.
  • Stay updated with the latest advancements in SAS technologies and analytics.

Requirements

  • 3+ years of experience in SAS development, including data manipulation, analysis, and reporting.
  • Proficiency in SAS programming and familiarity with SAS Enterprise Guide and SAS Studio.
  • Strong understanding of statistical concepts and methodologies.
  • Experience with data visualization tools and techniques.
  • Excellent analytical and problem-solving skills.
  • Ability to work collaboratively within a team and communicate effectively with stakeholders.
  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field is preferred.
  • Knowledge of SQL and databases is a plus.

Benefits

What we offer

  • A company culture based on respect, transparency, and equality.
  • Flexible work hours and hybrid
  • 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 in strict confidentiality

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.

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

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.