Senior Data Analyst - RELOCATION TO ABU DHABI

SoftServe
Sheffield
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst - Marketing

Senior Data Architect

Data Engineer

Senior Systems and Data Analyst (Grade L)

Settlements Data Analyst

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.

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.

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.

Jobs

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.