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Data Analytics & BI

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Data Analyst, Financial, Marketing & Product Analytics Wag Walking · · 80 days ago Miami
Salary TBC 80 days ago
Sr. Product Analyst Hipcamp · · 80 days ago United States of America
$137,000–$180,000 80 days ago
Snr Data Analytics Manager, SWOTS [VRMO] Amazon · · 80 days ago Bengaluru
Salary TBC 80 days ago
Reporting Data Scientist Lusternational · · 81 days ago Sacramento
$140,000–$210,000 81 days ago
Senior Data Analyst - Supply Analytics Vio · · 81 days ago United Kingdom
Salary TBC 81 days ago
Energy Market Analyst - Australia Powerline · · 81 days ago Melbourne
Salary TBC 81 days ago
Business Analytics & Intelligence Coach Leland · · 81 days ago United States
Salary TBC 81 days ago
Data Services Analyst Devsavant · · 81 days ago Colombia
Salary TBC 81 days ago
Data Product Partner - Barcelona Perk · · 81 days ago Barcelona
Salary TBC 81 days ago
Sector Analyst, MI-Data Point72 · · 81 days ago New York
$95,000–$115,000 81 days ago
Business Intelligence Analyst Point72 · · 81 days ago Stamford
Salary TBC 81 days ago
Staff Engineer, Data Analysis (R5290) Shieldai · · 81 days ago Dallas
$150,000–$220,000 81 days ago
Industrial Systems Engineer Onsemi · · 81 days ago Gresham
Salary TBC 81 days ago
Business Analytics and Insights Manager Amgen · · 81 days ago Taiwan
Salary TBC 81 days ago
Consulting: Principal, Analytics Consultant Marketbridge · · 81 days ago Washington
$175,000–$190,000 81 days ago
Senior Product Analyst (m/f/d) SIXT · · 81 days ago Lisbon
Salary TBC 81 days ago
GPS Data Insights Specialist Placement CooperCompanies · · 81 days ago Southampton
Salary TBC 81 days ago
Director, Site Analytics Macy'S · · 81 days ago New York
$180,500–$300,800 81 days ago
Analyst, Business Insights & Analytics American Express · · 81 days ago Sydney
Salary TBC 81 days ago
Consultor/a Senior IT Consulting- Power BI BIP Consulting · · 81 days ago Madrid
Salary TBC 81 days ago
Senior Data Analyst (12 month FTC) Telstra Health · · 81 days ago Australia
Salary TBC 81 days ago
Banking & Wealth Management Deposits Analytics, Vice President JPMorgan Chase & Co. · · 81 days ago Columbus
Salary TBC 81 days ago
Product Portfolio Operations, Vice President, Data & Analytics Development Team Lead JPMorgan Chase & Co. · · 81 days ago Wilmington
$142,500–$190,000 81 days ago
Senior Analyst, Data & Analytics - SQL/Payment Integrity - Remote Molina Healthcare · · 81 days ago Long Beach
$59,800–$129,600 81 days ago
Senior Analytics Lead J.D. Irving, Limited · · 81 days ago Dieppe
Salary TBC 81 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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