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Data Analytics & BI

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IT Support Analyst II Cherokee Federal · · 55 days ago Glen Burnie
$130,000 55 days ago
Advisory Engineer, Process Optimization Ricoh · · 55 days ago Rialto
$93,400 55 days ago
Data Analyst I Gupta Media · · 55 days ago Boston
$70,000–$85,000 55 days ago
Data & Reporting Analyst / Analyste des données et des rapports The Maples Group (Financial Services) · · 55 days ago Montreal
Salary TBC 55 days ago
Sr. Data Analyst Achieve · · 55 days ago Tempe
$115,000–$145,000 55 days ago
BI Engineer IntegriChain · · 55 days ago Philadelphia
Salary TBC 55 days ago
Senior Data Scientist – Media Decision Science Domino'S · · 55 days ago Ann Arbor
Salary TBC 55 days ago
NIQ Early Career Program: Internship - Customer Success Analytics FMCG (12 months, Pre-hire internship) NielsenIQ · · 55 days ago Lisbon
€680 55 days ago
NIQ Early Career Program: Internship - Customer Success Analytics Intern FMCG (12 months, Pre-hire internship) NielsenIQ · · 55 days ago Lisbon
€680 55 days ago
People Analytics Consultant Standard Life Plc · · 55 days ago London
£55,000–£75,000 55 days ago
Business Intelligence Developer Thurrock Council · · 55 days ago Grays
£45,624–£52,038 55 days ago
Senior Data Analyst, Data Products CDS Global · · 55 days ago New York
$126,000–$140,000 55 days ago
KYT Citizen Developer / Citizen AI Developer Euroclear · · 55 days ago Poland
Salary TBC 55 days ago
Data Analyst V – Operational Data Science GuideWell · · 55 days ago United States
$84,500–$137,300 55 days ago
Business Analyst, Fuse Billing Operations Amazon · · 55 days ago Miami
$74,300–$130,100 55 days ago
Senior Financial Analyst, NACF, NACF, USNS Amazon · · 55 days ago Nashville
$60,200–$128,800 55 days ago
Senior Analytics Lead, Minecraft Microsoft · · 55 days ago Redmond
$106,400–$222,600 55 days ago
Business Analyst III - AMZ10666414 Amazon · · 55 days ago San Diego
$118,200–$160,000 55 days ago
Senior Paid Media Data Analyst Microsoft · · 55 days ago Redmond
$106,400–$222,600 55 days ago
Senior Director, Data & Analytics Value Creation Accordion · · 56 days ago London
Salary TBC 56 days ago
Clinical Reporting Analyst Covista · · 56 days ago Lisle
$20.51–$36.09 56 days ago
Performance Operations Sr. Analyst Delivery Hero · · 56 days ago Buenos Aires
Salary TBC 56 days ago
(Senior) Product Data Analyst Smartlyio · · 56 days ago Helsinki
Salary TBC 56 days ago
Data Analyst Autotrader · · 56 days ago Manchester
£35,000–£60,000 56 days ago
Insights & Analytics Strategist Digible · · 56 days ago United Kingdom
$125,000–$145,000 56 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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