Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Analyst - Information Technology - London, United Kingdom

Newmark
London
8 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

Data Analyst

 Data Analyst - Information Technology - London, United Kingdom JOB DESCRIPTION

 

Position Overview:
As aData Analyst (IT), you will be responsible for collecting, analyzing, and interpreting data to improve business processes and decision-making. You will work closely with IT and business stakeholders, utilizingMS SQL, C#.NET, and data visualization toolsto develop reports, automate processes, and optimize data management strategies.
RESPONSIBILITIES

 

Key Responsibilities:

  • Design, develop, and maintainSQL databases and queriesto extract meaningful insights from structured and unstructured data.
  • Develop and optimizeC#.NETapplications for data processing, automation, and integration with business systems.
  • Createdata models, reports, and dashboardsusing Power BI, Tableau, or other visualization tools to support business intelligence.
  • Collaborate with IT teams to improvedata quality, integrity, and securityin compliance with industry standards.
  • AutomateETL (Extract, Transform, Load)processes to streamline data collection and reporting.
  • Analyzelarge datasetsto identify trends, anomalies, and opportunities for process improvement.
  • Work closely with business stakeholders to definedata requirementsand translate them into actionable solutions.
  • Support IT projects by integratingdata analytics and reporting functionalitiesinto existing systems.


QUALIFICATIONS

 

Qualifications:

  • Bachelor\'s degree inData Science, Computer Science, Information Technology, or a related field.
  • Strong proficiency inMS SQL Server(query writing, stored procedures, optimization).
  • Experience inC#.NETfor application development, automation, and system integration.
  • Knowledge ofdata visualisation toolssuch asPower BI, Tableau, or SSRS.
  • Understanding ofdatabase design, normalisation, and indexing strategies.
  • Familiarity withETL processesand data warehousing concepts.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication skills, with the ability to presentcomplex data insightsin a clear and actionable manner.


Preferred Skills:

  • Experience working withcloud platforms(Azure, AWS) for data storage and processing.
  • Understanding ofmachine learning conceptsand predictive analytics.
  • Knowledge ofAgile methodologiesand software development lifecycle (SDLC).


Working Conditions:Normal working conditions with the absence of disagreeable elements.
Note: The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified.
Newmark is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex including sexual orientation and gender identity, national origin, disability, protected Veteran Status, or any other characteristic protected by applicable federal, state, or local law.
Newmark Group, Inc. (Nasdaq: NMRK), together with its subsidiaries (\"Newmark\"), is a world leader in commercial real estate, seamlessly powering every phase of the property life cycle. Newmark\'s comprehensive suite of services and products is uniquely tailored to each client, from owners to occupiers, investors to founders, and startups to blue-chip companies. Combining the platform\'s global reach with market intelligence in both established and emerging property markets, Newmark provides superior service to clients across the industry spectrum. For the twelve months ended December 31, 2024, Newmark generated revenues of nearly $2.8 billion. As of December 31, 2024, Newmark and our business partners together operated from approximately 170 offices with over 8,000 professionals across four continents. To learn more, visit nmrk.com or follow @newmark.  

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

Neurodiversity in Data Science Careers: Turning Different Thinking into a Superpower

Data science is all about turning messy, real-world information into decisions, products & insights. It sits at the crossroads of maths, coding, business & communication – which means it needs people who see patterns, ask unusual questions & challenge assumptions. That makes data science a natural fit for many neurodivergent people, including those with ADHD, autism & dyslexia. If you’re neurodivergent & thinking about a data science career, you might have heard comments like “you’re too distracted for complex analysis”, “too literal for stakeholder work” or “too disorganised for large projects”. In reality, the same traits that can make traditional environments difficult often line up beautifully with data science work. This guide is written for data science job seekers in the UK. We’ll explore: What neurodiversity means in a data science context How ADHD, autism & dyslexia strengths map to common data science roles Practical workplace adjustments you can request under UK law How to talk about your neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in data science – & how to turn “different thinking” into a real career advantage.

Jobs

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Jobs

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

🍪 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.