JBRP1_NI
Pamata
Sr Data Analyst
Publicēts: 21.05.2026
Beigu datums: 05.07.2026
Darba atsauce: a14d5187b40c3d6a314550748fdd92e4
Informācija par darbu
Atrašanās vieta
belfast, antrim, United Kingdom
Uzņēmums
JR UK
Klients / Darba devējs
CME Technology Support Services Ltd
Darba atsauce
a14d5187b40c3d6a314550748fdd92e4
Sludinājuma veids
Pamata
Nepieciešama ES darba atļauja
Nē
Publicēts
21.05.2026
Beigu datums
05.07.2026
Darba apraksts
Senior Data Analyst Job Summary As a cornerstone of our data ecosystem, you will transcend traditional analysis to become a strategic architect of insights. You will navigate complex datasets to uncover hidden narratives, bridging the gap between raw information and actionable business intelligence. Operating at the intersection of technology and strategy, you will ensure data integrity across our global portfolio while empowering decision-makers with proactive, high-impact reporting. What You'll Get A supportive environment fostering career progression, continuous learning, and an inclusive culture. Broad exposure to CME's diverse products, asset classes, and cross-functional teams. A competitive salary and comprehensive benefits package. Explore our full range of benefits. What You'll Do Architect Insights: Operate in pivotal data positions to extract actionable intelligence and provide high-level analytical support that moves the needle on business results. Master Complex Datasets: Deconstruct and analyze multi-faceted data environments using advanced methodologies to identify quality gaps and optimize data health. Tell the Data Story: Transform rigorous analysis into compelling visual narratives and dashboards that translate complex metrics into clear business opportunities. Influence Through Analytics: Proactively generate ideas and reports that drive a data-first culture, influencing strategic shifts through evidence-based reasoning. Optimize KPIs: Harness multi-source data to measure, refine, and elevate Key Performance Indicators, ensuring every enhancement has a measurable impact. Unify the Ecosystem: Partner closely with portfolio pods across the exchange to champion data consistency and synchronization across all global systems. What You'll Bring Advanced Analytical Toolkit: Mastery of modern analytical softwarespecifically Google Analytics, Tableau, and Lookerto visualize and interpret large-scale data. Technical Proficiency: Deep expertise in SQL or equivalent database query languages to navigate and manipulate complex data structures. Methodological Rigor: Extensive experience in sophisticated data analysis techniques and a proven track record of validating both tactical and strategic business goals. Strategic Vision: The ability to see beyond the numbers, identifying opportunities to improve organizational outcomes through proactive discovery. CME Group: Where Futures are Made CME Group is the world's leading derivatives marketplace. But who we are goes deeper than that. Here, you can impact markets worldwide. Transform industries. And build a career by shaping tomorrow. We invest in your success and you own it - all while working alongside a team of leading experts who inspire you in ways big and small. Problem solvers, difference makers, trailblazers. Those are our people. And we're looking for more. At CME Group, we embrace our employees' unique experiences and skills to ensure that everyone's perspectives are acknowledged and valued. As an equal-opportunity employer, we consider all potential employees without regard to any protected characteristic. Important Notice: Recruitment fraud is on the rise, with scammers using misleading promises of job offers and interviews to solicit money and personal information from job seekers. CME Group adheres to established procedures designed to maintain trust, confidence and security throughout our recruitment process. Learn more here. To be considered for this role you will be redirected to and must complete the application process on our careers page. To start the process click the Continue to Application or Login/Register to apply button below.
Prasmes
analyse big data
apply statistical analysis techniques
Business Analytics
Business Intelligence
cloud technologies
collect ICT data
create data models
Data Engineering
data ethics
Data Mining
Data Models
data quality assessment
Data Science
data storage
data visualisation software
Database
define data quality criteria
deliver visual presentation of data
digital data processing
documentation types
establish data processes
execute analytical mathematical calculations
Game Theory
gather data for forensic purposes
Hadoop
handle data samples
Healthcare Analytics
image recognition
implement data quality processes
Information Architecture
information categorisation
information confidentiality
Information Extraction
information structure
integrate ICT data
interpret current data
LDAP
LINQ
make data-driven decisions
manage cloud data and storage
manage data
manage data collection systems
manage quantitative data
Marketing Analytics
MDX
multidisciplinary research
N1QL
normalise data
online analytical processing
perform data cleansing
perform data mining
query languages
report analysis results
Research Design
resource description framework query language
Social Network Analysis
SPARQL
statistical modeling techniques
Statistics
store digital data and systems
Unstructured Data
use data processing techniques
use databases
use spreadsheets software
visual presentation techniques
Web Analytics
XQuery