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Data Analytics & BI

Explore live Data Analytics & BI jobs from active digital employers.

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Data Analyst The Guardian · · 87 days ago London
Salary TBC 87 days ago
Data Analyst I Wood · · 87 days ago Washington
Salary TBC 87 days ago
Data Scientist Senior Associate - Payments JPMorgan Chase & Co. · · 87 days ago Plano
Salary TBC 87 days ago
Lead Business Intelligence Engineer DTCC · · 87 days ago Tampa
$75,000–$150,000 87 days ago
Senior, Analytics Analyst Emerson · · 87 days ago Marshalltown
Salary TBC 87 days ago
Staff Marketing Analyst RentSpree · · 87 days ago Seattle
$195,000–$220,000 87 days ago
Data Analyst Vanier · · 87 days ago London
Salary TBC 87 days ago
Data Analytics Consultant Sia · · 87 days ago Amsterdam
Salary TBC 87 days ago
Praktikum im Bereich Energiemanagement-Software und Digitalisierung Bosch Group · · 87 days ago Karlsruhe
Salary TBC 87 days ago
Stage - Data Analyst - Paris - H/F Iliad - Free · · 87 days ago Paris
Salary TBC 87 days ago
Data Analyst Senior Power BI / GCP (H/F) Scalian · · 87 days ago aix-en-provence
€36,000–€52,000 87 days ago
Future of Search & Junior data analyst Apprentice AccorCorpo · · 87 days ago Issy-les-Moulineaux
Salary TBC 87 days ago
Research Assistant III Non-Lab (Research Project and Data Assistant) Harvard University · · 87 days ago Cambridge
Salary TBC 87 days ago
Data Science Manager, Pricing Marshmallow · · 88 days ago London
Salary TBC 88 days ago
Analytics Director Pmg · · 88 days ago New York
Salary TBC 88 days ago
Power BI Architect - Pharma domain- W2 CLOUDSCOUTS SOFTWARE SOLUTIONS LLC · · 88 days ago New York
Salary TBC 88 days ago
Market Analyst III Applied Materials · · 88 days ago Santa Clara
$106,000–$146,000 88 days ago
Data Analyst (Head Office) Performance Auto Group · · 88 days ago Brampton
C$60,000–C$70,000 88 days ago
Senior Director, Business Intelligence & Analytics UMass Amherst Foundation · · 88 days ago Hadley
$110,000–$121,000 88 days ago
Technical Analyst 3-Support Oracle · · 88 days ago Kansas City
$66,200–$132,400 88 days ago
Billing Data Analyst Ruby Labs · · 88 days ago Ukraine
Salary TBC 88 days ago
UX Quantitative Researcher - New York Photon · · 88 days ago New York
$42,000–$148,000 88 days ago
Quantitative Analytics Associate - Co-brand Card Data Analytics JPMorgan Chase & Co. · · 88 days ago Wilmington
$80,800–$120,000 88 days ago
ORDER & METER TO CASH - DATA ANALYST Gruppo A2A · · 88 days ago MILANO
€39,000–€44,000 88 days ago
Data Analyst - (Engineering and Maintenance) Virgin Atlantic · · 88 days ago Hounslow
Salary TBC 88 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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