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Data Analytics & BI

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Business Finance Analyst - Supply Chain Ferguson Enterprises LLC · · 46 days ago Newport News
Salary TBC 46 days ago
Inventory Data Analyst AUS AMX AMX Superstores Pty Ltd · · 46 days ago Birmingham
Salary TBC 46 days ago
U TBM Analyst US101 Guidehouse Inc. · · 46 days ago US
Salary TBC 46 days ago
Senior Power BI Developer WTW · · 46 days ago Toronto
C$130,000–C$145,000 46 days ago
Credit Risk Analytics Analyst BankUnited, Inc. · · 46 days ago Miami Lakes
Salary TBC 46 days ago
Oncology Data Specialist Synex Talent · · 46 days ago Northborough
$110,000–$130,000 46 days ago
Senior Data Analyst Access · · 46 days ago Peabody
Salary TBC 46 days ago
Advanced Associate, Data Analytics and Business Intelligence Pearson · · 46 days ago Rotherham
Salary TBC 46 days ago
Land Data Analyst II/III/Sr. Eqtcorporation · · 46 days ago United Kingdom
Salary TBC 46 days ago
Lead Analytics Consultant (CJA) Bounteous · · 46 days ago United States
$105,000–$153,000 46 days ago
Technical Operations Analyst Openai · · 46 days ago London
Salary TBC 46 days ago
Praktikum im Bereich Marketing und Business Strategy Bosch Group · · 46 days ago Karlsruhe
Salary TBC 46 days ago
Data Reporting Analyst NEW LIFE CENTERS OF CHICAGOLAND NFP · · 46 days ago Chicago
$55,000 46 days ago
Senior Director of Enterprise Data Partners (EDP) – Finance - Digital and Technology Partners - Hybrid Mount Sinai Health System · · 46 days ago New York
$183,900–$290,000 46 days ago
Senior Data Analyst CSC · · 46 days ago Wilmington
Salary TBC 46 days ago
Manager, Global Sourcing Analytics Carnival Corporation · · 46 days ago Miami
Salary TBC 46 days ago
Director of Commercial Analytics & Insights The Honest Kitchen Inc · · 46 days ago San Diego
$160,000–$190,000 46 days ago
Louisiana Based Data Specialist Merakey · · 46 days ago Lafayette
$19 / hour 46 days ago
Data analyst Liom · · 46 days ago Freienbach
Salary TBC 46 days ago
Talent Data and Insights Analyst Virginia Economic Devel Partnership · · 46 days ago Richmond
$65,000–$80,000 46 days ago
Customer & Digital Analytics Lead Yum! · · 46 days ago Irvine
$121,600–$142,900 46 days ago
Principal Analytics Engineer Forterra · · 46 days ago Arlington
$190,000–$220,000 46 days ago
Payroll Systems & Data Coordinator ES Foundry Corp · · 46 days ago Greenwood
Salary TBC 46 days ago
Director of Finance-Financial Analytics (Remote) California FAIR Plan Association · · 46 days ago Los Angeles
$215,200–$220,200 46 days ago
Vice President, Data Analyst & BI Bank Of New York Mellon · · 46 days ago Berwyn
$69,000–$167,000 46 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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