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Data Analytics & BI

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Transport analyst Avery Dennison · · 42 days ago RODANGE
€53,270–€85,232 42 days ago
Senior Data Scientist (Country and Marketing Analytics) Grab · · 42 days ago Bangkok
Salary TBC 42 days ago
(Junior) Data Analyst / BI Analyst (m/w/d) Reise CHECK24 · · 42 days ago Leipzig
Salary TBC 42 days ago
Data Analyst CapTech Consulting · · 42 days ago Reston
Salary TBC 42 days ago
Marketing Data Scientist Embedding Vc · · 42 days ago San Francisco Bay Area
Salary TBC 42 days ago
Programmatic Analyst Nexxen · · 42 days ago New York
$72,000–$120,000 42 days ago
Data Analyst - Routing & Sortation Relay · · 42 days ago London
Salary TBC 42 days ago
People Operations Manager, Data & Reporting Cohere · · 42 days ago Toronto
Salary TBC 42 days ago
Procurement & Supplier Analytics Associate (Hybrid) Morgan Stanley · · 42 days ago Montreal
Salary TBC 42 days ago
Marketing Analyst Midcontinent · · 42 days ago Minneapolis
$60,000–$75,000 42 days ago
Technical Assurance Data Coordinator Restoration And Renewal · · 42 days ago London
£40,000 42 days ago
Mgr, Data Analytics and Intelligence Southern Company · · 42 days ago Atlanta
Salary TBC 42 days ago
BI Developer & Analyst Harry N Abrams Inc · · 42 days ago New York
$70,000–$75,000 42 days ago
Data & AI Intern Westmont Hospitality Group · · 42 days ago Westmont Head
C$55,000 42 days ago
Product Experience & Technology (PXT) Finance & Business Management - Senior Associate JPMorgan Chase & Co. · · 42 days ago Wilmington
Salary TBC 42 days ago
Senior Advisor -CVH Performance Analytics Trillium Health Partners · · 42 days ago Mississauga
C$48.85–C$61.06 42 days ago
Power BI Developer Symbiotic Digital · · 42 days ago Downtown Toronto
Salary TBC 42 days ago
Logistics Data Analyst Ataero · · 42 days ago Huntsville
$120,000–$125,000 42 days ago
Cloud FinOps Analyst II Infoblox · · 42 days ago BURNABY
C$82,400–C$121,400 42 days ago
Data Analyst Signature Performance, Inc. · · 42 days ago United States
Salary TBC 42 days ago
Data & Analytics Advisor Suncorp · · 42 days ago NSW
Salary TBC 42 days ago
Data Analyst Supporting the ATF FSA · · 42 days ago Washington
Salary TBC 42 days ago
Specialist, Client Data Insights II BNY Mellon · · 42 days ago Pittsburgh
$52,000–$75,000 42 days ago
Data Scientist, Finance (Infrastructure & AI) Meta · · 42 days ago Menlo Park
$210,000–$281,000 / year 42 days ago
Senior Business Intelligence Engineer, Amazon Leo Amazon · · 42 days ago Bellevue
$130,400–$176,300 42 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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