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Data Analytics & BI

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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
Data Analyst Verisk · · 67 days ago Manchester
£35,000–£45,000 67 days ago
Quantitative Analytics [Multiple Positions Available] JPMorgan Chase & Co. · · 67 days ago Jacksonville
Salary TBC 67 days ago
Quant Analytics Manager JPMorgan Chase & Co. · · 67 days ago Wilmington
Salary TBC 67 days ago
Quality & Safety Data Analytics Associate Nemours Children'S Health · · 67 days ago Wilmington
$57,900–$92,600 67 days ago
FLEX Director, Director, Digital Analytics Marriott · · 67 days ago Bethesda
Salary TBC 67 days ago
Senior Data Scientist (NYC) BoldVoice · · 68 days ago New York
$140,000–$220,000 68 days ago
Junior Insight Analyst NielsenIQ · · 68 days ago Warsaw
Salary TBC 68 days ago
Analytics Associate Director Wppmedia · · 68 days ago London
Salary TBC 68 days ago
Data Analyst Riskified · · 68 days ago Lisbon
€37,000–€42,000 68 days ago
Analyst, Performance & Attribution Solutions Cclfg · · 68 days ago Vancouver
$75,000–$110,000 68 days ago
Analyst, Performance & Attribution Solutions Cclfg · · 68 days ago Toronto
$75,000–$110,000 68 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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