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Data Analytics & BI

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Senior Business Analyst Moniepoint · · 47 days ago London
Salary TBC 47 days ago
Product Data Intern Sezzle · · 47 days ago Colombia
Salary TBC 47 days ago
Senior Capital Markets Analyst Palmettocleantech · · 47 days ago New York
Salary TBC 47 days ago
Senior Data Analyst Gigs · · 47 days ago New York
$165,000–$190,000 47 days ago
Business Intelligence Analyst Allwebleads · · 47 days ago Austin
Salary TBC 47 days ago
Field Training Strategy & Analytics Coordinator Ford Motor Company · · 47 days ago Allen Park
$74,300–$166,200 47 days ago
Senior Investment Data Analyst ADP · · 47 days ago Wilmington
Salary TBC 47 days ago
Manager, Data Insights MFour Mobile Research · · 47 days ago Irvine
Salary TBC 47 days ago
Product Data Scientist, Employee Experience & Productivity, IS&T Apple · · 47 days ago Sunnyvale
Salary TBC 47 days ago
Senior Analyst, Data & Analytics - Remote (SQL Exp) Molina Healthcare · · 47 days ago Long Beach
Salary TBC 47 days ago
Manager, Analytics & IM Safety Reporting Metrolinx · · 47 days ago Canada
C$123,000–C$168,900 47 days ago
Quant Analytics Senior Associate JPMorgan Chase & Co. · · 47 days ago Wilmington
Salary TBC 47 days ago
Staff Data Analyst The Guitar Center Company · · 47 days ago Westlake Village
$140,000–$175,000 47 days ago
Senior Manager Data and Analytics Pepper Money · · 47 days ago North Sydney
Salary TBC 47 days ago
Data Analyst II Humanity HR Consulting · · 47 days ago San Diego
$74,000–$76,000 47 days ago
Data Scientist [Multiple Positions Available] JPMorgan Chase & Co. · · 47 days ago Jacksonville
Salary TBC 47 days ago
Managing Consultant – Data & Analytics (w/m/d) PmOne · · 47 days ago München
Salary TBC 47 days ago
Senior Analyst-Data Analytics American Express · · 47 days ago New York
$89,200–$150,200 47 days ago
Business Intelligence Developer CEEUS Inc · · 47 days ago West Columbia
Salary TBC 47 days ago
Senior Data Analyst Phase2 · · 47 days ago United States of America
$100,000–$120,000 47 days ago
Analytics Architect | USA Photon · · 47 days ago Chicago
$48,000–$168,000 47 days ago
Senior Analyst - Loyalty Analytics (All Genders) Zooplus SE · · 47 days ago Madrid
zł 187,000–zł 228,500 47 days ago
PEOPLE DATA & STRATEGY ANALYST City Of New York · · 47 days ago New York
$72,600–$83,500 47 days ago
Analytics Manager - Resource & Workforce Planning Ocado Logistics · · 47 days ago Hatfield
Salary TBC 47 days ago
Utility Data Programmer Analyst Celerity Consulting Group, LLC · · 47 days ago Walnut Creek
$90,000–$125,000 47 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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