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Data Analytics & BI

Explore live Data Analytics & BI jobs from active digital employers.

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Analytics Specialist, Vice President - Aladdin Financial Engineering (PAG) BlackRock · · 86 days ago San Francisco
$180,000–$215,000 86 days ago
Financial Analysis - Marketing - Senior Associate JPMorgan Chase & Co. · · 86 days ago Wilmington
$95,000–$140,000 86 days ago
Data Analyst – Process Improvement Heathrow · · 86 days ago Hounslow
Salary TBC 86 days ago
People Insights Data Architect Coherent Corp. · · 86 days ago Glasgow
Salary TBC 86 days ago
Lead of Product Analytics Infomedijidoo · · 87 days ago job
Salary TBC 87 days ago
Data & Operations Specialist Anyone Ai · · 87 days ago United Kingdom
Salary TBC 87 days ago
Quantitative Analyst Octus · · 87 days ago US
$135,000–$150,000 87 days ago
Member Operations Analytics Base Power · · 87 days ago Austin
Salary TBC 87 days ago
Data Analyst (Azar) Matchgroup · · 87 days ago Seoul
Salary TBC 87 days ago
Manager - ACA Market Analytics Blue Cross Blue Shield Of Michigan · · 87 days ago Detroit
Salary TBC 87 days ago
Asset & Wealth Management, Product Management, Analyst - Dallas Goldman Sachs · · 87 days ago Dallas
Salary TBC 87 days ago
Global Banking & Markets - Private - Dallas - Analyst - Loan Management - Trade Analytics Goldman Sachs · · 87 days ago Dallas
Salary TBC 87 days ago
Senior Financial Analyst, NACF Amazon · · 87 days ago New York
Salary TBC 87 days ago
Americas Logistics - Distribution Center (DC) Data Operations Analyst Apple · · 87 days ago Austin
Salary TBC 87 days ago
Product Data Team Lead Surfshark · · 87 days ago Kaunas
€5,000–€7,000 87 days ago
Business Intelligence Analyst - Global Logistics Supplier Management (B2) Applied Materials · · 87 days ago Austin
$76,000–$104,500 87 days ago
Data Analyst - Financial Crime Ebury · · 87 days ago Madrid
Salary TBC 87 days ago
Data Analyst - Financial Crime Ebury · · 87 days ago Málaga
Salary TBC 87 days ago
Supplier Analytics Analyst Sainsbury'S · · 87 days ago London
Salary TBC 87 days ago
Data Analyst J.D. Irving, Limited · · 87 days ago Dieppe
C$55,000–C$75,000 87 days ago
Data Analyst The Guardian · · 87 days ago London
Salary TBC 87 days ago
Data Analyst I Wood · · 87 days ago Washington
Salary TBC 87 days ago
Data Scientist Senior Associate - Payments JPMorgan Chase & Co. · · 87 days ago Plano
Salary TBC 87 days ago
Lead Business Intelligence Engineer DTCC · · 87 days ago Tampa
$75,000–$150,000 87 days ago
Senior, Analytics Analyst Emerson · · 87 days ago Marshalltown
Salary TBC 87 days ago

Explore Data Analytics & BI Jobs

Business analysts, BI developers, analytics engineers

Data analytics is the practice of collecting, transforming and organising data so that organisations can draw conclusions, make predictions and have the information they need to drive decision-making. Data analysis is not the same thing, but instead is a subcategory of data analytics: it deals specifically with extracting meaning from data. As a whole, though, data analytics goes beyond just analysis and includes data science and engineering.

Business analysts work within an organisation to bridge their business needs and their available technology solutions to those needs. They look at processes, learn about the functional requirements of different stakeholders and come up with data driven strategies to improve performance. They make sure that technical teams are building the right things to solve specific problems. Business analysts carry out interviews and workshops, documenting user stories and specifications. They creat flowcharts to get a sense of current workflows and think about how to improve them. They carry out data analysis, looking at performance metrics and trends. They engage in stakeholder management, explaining the risks and benefits of processes, technologies and procedures to both developers and organisational leaders. They assist with User Acceptance Testing (UAT) so that they can be sure solutions function properly before they are launched.

Business intelligence (BI) developers are data professionals who transform raw information into insights that organisations can use to make decisions. They are responsible for designing and maintaining data pipelines, models and visualisation dashboards. They structure the data so it can be easily retrieved, and make sure that visuals are interactive and accessible, and form useful reports. They develop Extracting, Transforming and Loading processes that get data from different sources into a centralised warehouse. They also deal with data governance, and manage permissions and data security.

Analytics engineers are the intersection between data engineers who build the pipelines and the data analysts who visualise insights. They take raw data which can be messy and hard to interpret, and transform it into clean, reliable and standardised data models that can be used for reporting.

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