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Data Analytics & BI

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Senior Business Intelligence Engineer, Amazon Leo Amazon · · 42 days ago Bellevue
$130,400–$176,300 42 days ago
Business Intelligence Engineer, PV Strategy & Insights Amazon · · 42 days ago Culver City
$99,500–$160,000 42 days ago
Senior Director Business Analytics Microsoft · · 42 days ago Redmond
$155,800–$303,600 42 days ago
Analytics Engineering Supervisor Thorlabs · · 42 days ago Newton
$112,000–$150,000 42 days ago
Staff Data Analyst Smithrx · · 42 days ago United Kingdom
$120,700–$170,400 42 days ago
Analytics & Finance Manager, International Gruns · · 42 days ago United Kingdom
Salary TBC 42 days ago
Business Intelligence Analyst Carrotfertility · · 42 days ago United Kingdom
$98,000–$125,000 42 days ago
Senior Manager, Category Strategy & Analytics 103644278 · · 42 days ago New York
$142,400–$175,000 42 days ago
2027 July Special Executions Group Full-Time Analyst (New York) Financialtechnologypartners · · 42 days ago New York
$100,000 42 days ago
Risk & Performance Analyst Mangroup · · 42 days ago Sofia
Salary TBC 42 days ago
Senior Manager, Category Strategy & Analytics Harrys · · 42 days ago New York
$142,400–$175,000 42 days ago
Business Operations Analyst Hometap · · 42 days ago Boston
$90,000–$110,000 42 days ago
Senior Analyst – Energy Analytics Hanwhaenergyusa · · 42 days ago Houston
$125,000–$146,000 42 days ago
Sr. Risk Analyst Hanwhaenergyusa · · 42 days ago Houston
$138,000–$153,000 42 days ago
Director, Data Science & Analytics Zetaglobal · · 42 days ago United States
$170,000–$190,000 42 days ago
Senior Product Analyst (M/F/X) Hellofresh · · 42 days ago Paris
Salary TBC 42 days ago
Manager, Analytics - Global Clients Wppmedia · · 42 days ago London
Salary TBC 42 days ago
Staff Data Analyst (Pricing) Coupang · · 42 days ago Singapore
Salary TBC 42 days ago
Staff Talent & People Analyst Quince · · 42 days ago United States
$185,000–$220,000 42 days ago
Staff Data Analyst (Remote US) Splice · · 42 days ago U.S.
$160,272–$200,340 42 days ago
Business Intelligence Analyst Tactilemedical · · 42 days ago Minneapolis
$70,800–$99,120 42 days ago
Senior Healthcare Analyst Coherehealth · · 42 days ago United States
$90,000–$112,000 42 days ago
Senior Manager, Data Analytics Babylist · · 42 days ago United States
$228,250–$273,900 42 days ago
Senior Manager, Data Analytics Babylist · · 42 days ago Canada
Salary TBC 42 days ago
GTM Product Analyst Edmentum · · 42 days ago United States
$110,000–$120,000 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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