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Data Analytics & BI

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Data Analytics Senior Manager Flagstone · · 73 days ago London
Salary TBC 73 days ago
Data Solutions Analyst, India Sensor Tower · · 73 days ago Bangalore
₹10,00,000 73 days ago
Data Insights & Analytics Lead Ether.Fi · · 73 days ago Cayman
$120,000–$180,000 73 days ago
Senior Data Analyst, Partner Analytics Root Insurance · · 73 days ago United States of America
$110,000–$125,000 73 days ago
Business Intel Engineer II - AMZ10318168 Amazon · · 73 days ago New York
$127,400–$185,000 73 days ago
Senior Product Analyst Pennylane · · 73 days ago United Kingdom
Salary TBC 73 days ago
Sr. Manager Data Analytics VB Spine, LLC · · 73 days ago Leesburg
$150,000–$170,000 73 days ago
Analytics and Intel Reporting Lead Westpac Group · · 73 days ago Parramatta
Salary TBC 73 days ago
Développeur BI | BI Developer BEEM · · 73 days ago Montreal
Salary TBC 73 days ago
Quant Analytics Sr. Associate - Employee Experience JPMorgan Chase & Co. · · 73 days ago Columbus
$92,200–$150,000 73 days ago
Analyst, Healthcare Financial Analytics (Actuarial Track) COPE Health Solutions · · 73 days ago Downtown Los Angeles
$80,600–$102,500 73 days ago
Senior Manager, Insights (Viewer and Marketing) ITV · · 73 days ago London
Salary TBC 73 days ago
Reporting and Analytics Specialist Heathrow · · 73 days ago Paisley
Salary TBC 73 days ago
Sr. Data Insights Analyst The Kroger Co. · · 73 days ago Blue Ash
Salary TBC 73 days ago
Senior Business Analyst, Revenue Cycle Analytics, Finance Operations Amazon · · 73 days ago Arlington
$118,200–$160,000 73 days ago
Business Analyst III - AMZ9898510 Amazon · · 73 days ago Las Vegas
$118,200–$160,000 73 days ago
Analyst I Affirm · · 73 days ago US
$115,000–$165,000 73 days ago
Data Analyst - Blitz Voodoo · · 73 days ago Paris
Salary TBC 73 days ago
Data & Systems Technician Formenergy · · 73 days ago Weirton
Salary TBC 73 days ago
Network Operations Analytics Engineer Leidos · · 73 days ago Tampa
$92,300–$166,850 73 days ago
IT Business Intelligence Analyst - BST GI Hitachi · · 73 days ago Ludvika
Salary TBC 73 days ago
Senior Data Analyst, Growth Analytics (CRM) Cookunity · · 74 days ago Argentina
Salary TBC 74 days ago
Senior Data Analyst, Growth Analytics (CRM) Cookunity · · 74 days ago Toronto
C$100,000–C$120,000 74 days ago
Communications Intelligence & Insights Analyst (Communications Agency) Bursonglobalcareers · · 74 days ago Warszawa
Salary TBC 74 days ago
Senior BI Developer Rxsense · · 74 days ago US
$145,000–$165,000 74 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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