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Data Analytics & BI

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Marketing Data Analyst - Events Analytics Microsoft · · 66 days ago Redmond
$86,100–$187,400 66 days ago
VIE - Data Analyst (H/F) - New York Hermès · · 66 days ago New York
Salary TBC 66 days ago
Pricing Analyst I Allegiantair · · 67 days ago Las Vegas
$55,000–$70,000 67 days ago
Business Intelligence Analyst – Grands Comptes - Stage H/F EPSA · · 67 days ago Lyon
Salary TBC 67 days ago
Digital Specialist - Environmental Data & Reporting Automation AECOM · · 67 days ago Bogotá
Salary TBC 67 days ago
Sr Analyst Growth Delivery Hero · · 67 days ago Barcelona
Salary TBC 67 days ago
Senior Customer Insights Analyst (m/f/d) SIXT · · 67 days ago Lisbon
Salary TBC 67 days ago
Senior Data & Insights Executive Wppmedia · · 67 days ago London
Salary TBC 67 days ago
Utility Data Analyst Detect94 · · 67 days ago Nova Scotia
Salary TBC 67 days ago
Operations Data Analyst Usconec · · 67 days ago Hickory
Salary TBC 67 days ago
Senior Reporting Analyst Sourcingcour · · 67 days ago United States
$140,000–$175,000 67 days ago
Technical Business Analyst Insurify · · 67 days ago Cambridge
$75,000–$90,000 67 days ago
Director, Data & Analytics Moonpay · · 67 days ago New York
$360,000–$410,000 67 days ago
Data Analyst (m/f/d) Salvador Caetano · · 67 days ago Vila Nova De Gaia
Salary TBC 67 days ago
Senior Product Analyst Photoroom · · 67 days ago Paris
90,000–110,000 67 days ago
Data and Reporting Analyst - Investment Risk Franklin Templeton · · 67 days ago Poznan
Salary TBC 67 days ago
Operations Research Analyst Leidos · · 67 days ago Odenton
$131,300–$237,350 67 days ago
Alternant Consultant Data & Power BI (H/F) Inetum · · 67 days ago Lille
Salary TBC 67 days ago
Data & Analytics Lead Maurice Blackburn Lawyers · · 67 days ago Melbourne
Salary TBC 67 days ago
Sector Analyst, Proprietary Research Point72 · · 67 days ago London
Salary TBC 67 days ago
Senior Analyst-Investment Performance & Risk Franklin Templeton · · 67 days ago Boston
$110,000–$140,000 67 days ago
AI Platforms Analytics and Governance Lead HP · · 67 days ago Spring
$130,700–$205,200 / year 67 days ago
Staff Data Analyst (m/f/d) Redcare Pharmacy · · 67 days ago Köln
Salary TBC 67 days ago
IDMC Data Adviser Norwegian Refugee Council · · 67 days ago Berlin
Salary TBC 67 days ago
Data Analytics Team Coordinator Verisk · · 67 days ago Krakow
zł 124,800–zł 156,000 67 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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