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Data Analytics & BI

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L Business Intelligence Lead, Performance Marketing Launch2 · · 11 days ago Denver
$120,000–$150,000 / month 11 days ago
L Lead Analytics Manager Launch2 · · 11 days ago Austin
$120,000–$150,000 / month 11 days ago
L Lead Analytics Manager Launch2 · · 11 days ago Asheville
$120,000–$150,000 / month 11 days ago
Sr. Ecommerce Analyst Boxinc · · 11 days ago Chicago
$94,000–$115,000 / year 11 days ago
Data Analyst III Fanaticsfbg · · 11 days ago Dublin
Salary TBC 11 days ago
Data Analyst III Fanaticsfbg · · 11 days ago Leeds
£52,000–£66,000 / year 11 days ago
Analytics Lead, Full Stack Affirm · · 11 days ago Canada
$145,000–$205,000 / year 11 days ago
Macro Analyst, Market Intelligence, US Point72 · · 11 days ago New York
$95,000–$115,000 / year 11 days ago
Analytics Senior Lead PMG · · 11 days ago Dallas
Salary TBC 11 days ago
Operations Analyst SpaceX · · 11 days ago Hawthorne
Salary TBC 11 days ago
Lead, Ad Revenue & Analytics Zyngacareers · · 11 days ago Bay Area
Salary TBC 11 days ago
Data Analyst - Poker Zyngacareers · · 11 days ago Austin
Salary TBC 11 days ago
Senior Data Analyst Thoughtworksreferral · · 11 days ago Bangalore
Salary TBC 11 days ago
Applied AI & Analytics Intern Opportunities Sharkninjaoperatingllc · · 11 days ago Miami
$26–$35 / hour 11 days ago
Applied AI & Analytics Co-op Opportunities Sharkninjaoperatingllc · · 11 days ago Miami
$26–$35 / hour 11 days ago
C Tableau Developer Caixa Mágica Software · · 11 days ago Lisboa
Salary TBC 11 days ago
Senior Data Intelligence Consultant OpenSky Data Systems · · 11 days ago Naas
Salary TBC 11 days ago
Capital Analytics & Solutions Analyst JPMorgan Chase & Co. · · 11 days ago Warsaw
zł 109,200–zł 147,000 11 days ago
Data Analytics Manager Heathrow · · 11 days ago London
Salary TBC 11 days ago
Country S&OP Analyst , EU Trans S&OP Amazon · · 11 days ago Luxembourg
Salary TBC 11 days ago
Business Analyst, Catalog Support and Operations, GCO Amazon · · 11 days ago Bengaluru
Salary TBC 11 days ago
Transport Performance Analyst Amazon · · 11 days ago Barcelona
Salary TBC 11 days ago
Senior Financial Analyst, International Stores FP&A Amazon · · 11 days ago Seattle
Salary TBC 11 days ago
Production Planning Analyst, Supply Chain,Local Trans & Supply Chain Amazon · · 11 days ago London
Salary TBC 11 days ago
Business Intel Engineer I, FinOps Amazon · · 11 days ago Bengaluru
Salary TBC 11 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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