Senior Data Analyst - RELOCATION TO ABU DHABI

SoftServe
Sheffield
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst - Customer Services

Senior Data Analyst

Senior Power BI Data Analyst

Senior Data Engineer

Senior Data Engineer

Please note: this position requires relocation to Abu Dhabi for a minimum period of 12 months. Project duration: 36 months+. Softserve will support relocation of selected candidates.


WE ARE

SoftServe is a global digital solutions company with headquarters in Austin, Texas, founded in 1993. Our associates are currently working on 2,000+ projects with clients across North America, EMEA, APAC, and LATAM. We are about people who create bold things, make a difference, have fun, and love their work.

Big Data & Analytics Center of Excellence, data consulting and data engineering branch at SoftServe. Starting as a group of three enthusiasts back in 2013, hundreds of Data Engineers and Architects nowadays build Data & Analytics end-to-end solutions from strategy through technical design and PoC to full-scale implementation. We have customers in Healthcare, Finance, Manufacturing, Retail, and Energy domains.

We hold top-level partnership statuses with all the major cloud providers and collaborate with many technology partners like AWS, GCP, Microsoft, Databricks, Snowflake, Confluent, and others.


IF YOU ARE

  • Experienced in data analysis within a healthcare environment for 3–5+ years
  • Skilled in working with large-scale healthcare datasets and generating actionable insights
  • Proficient in SQL and data visualization tools such as Power BI or Tableau
  • Familiar with healthcare metrics, KPIs, and statistical methods used in clinical or operational analysis
  • Detail-oriented with a strong focus on data accuracy, consistency, and compliance with healthcare standards


AND YOU WANT TO

  • Analyze healthcare data to support clinical and operational decision-making
  • Build clear, insightful dashboards and reports tailored to healthcare stakeholders
  • Collaborate with cross-functional teams on AI-driven or analytics-based healthcare initiatives
  • Contribute to improving data validation and standardization processes across healthcare systems


TOGETHER WE WILL

  • Address different business and technology challenges, engage in impactful projects, use top-notch technologies, and drive multiple initiatives as a part of the Center of Excellence
  • Support your technical and personal growth — we have a dedicated career plan for all roles in our company
  • Investigate new technologies, build internal prototypes, and share knowledge with the SoftServe Data Community
  • Upskill with full access to Udemy learning courses
  • Pass professional certifications, encouraged and covered by the company
  • Adopt best practices from experts while working in a team of top-notch engineers and architects
  • Collaborate with world-leading companies and attend professional events


All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability, sexual orientation, gender identity/expression, or protected veteran status. SoftServe is an Equal Opportunity Employer.

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 Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.